BENDAHAN David
Keywords
- Musculoskeletal magnetic resonance
Publications :
180164
BENDAHAN
1
harvard-cite-them-right-no-et-al
50
date
desc
year
1540
https://crmbm.univ-amu.fr/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A150%2C%22request_next%22%3A50%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22PY4E2DQ4%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Martin%20et%20al.%22%2C%22parsedDate%22%3A%222025-01-11%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMartin%2C%20S.%2C%20Andr%26%23xE9%3B%2C%20R.%2C%20Trabelsi%2C%20A.%2C%20Michel%2C%20C.P.%2C%20Fortanier%2C%20E.%2C%20Attarian%2C%20S.%2C%20Guye%2C%20M.%2C%20Dubois%2C%20M.%2C%20Abdeddaim%2C%20R.%20and%20Bendahan%2C%20D.%20%282025%29%20%26%23x2018%3BImportance%20of%20neural%20network%20complexity%20for%20the%20automatic%20segmentation%20of%20individual%20thigh%20muscles%20in%20MRI%20images%20from%20patients%20with%20neuromuscular%20diseases%26%23x2019%3B%2C%20%3Ci%3EMagma%20%28New%20York%2C%20N.Y.%29%3C%5C%2Fi%3E%20%5BPreprint%5D.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10334-024-01221-3%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10334-024-01221-3%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Importance%20of%20neural%20network%20complexity%20for%20the%20automatic%20segmentation%20of%20individual%20thigh%20muscles%20in%20MRI%20images%20from%20patients%20with%20neuromuscular%20diseases%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sandra%22%2C%22lastName%22%3A%22Martin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R%5Cu00e9mi%22%2C%22lastName%22%3A%22Andr%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amira%22%2C%22lastName%22%3A%22Trabelsi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Etienne%22%2C%22lastName%22%3A%22Fortanier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shahram%22%2C%22lastName%22%3A%22Attarian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc%22%2C%22lastName%22%3A%22Dubois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Redha%22%2C%22lastName%22%3A%22Abdeddaim%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20Segmentation%20of%20individual%20thigh%20muscles%20in%20MRI%20images%20is%20essential%20for%20monitoring%20neuromuscular%20diseases%20and%20quantifying%20relevant%20biomarkers%20such%20as%20fat%20fraction%20%28FF%29.%20Deep%20learning%20approaches%20such%20as%20U-Net%20have%20demonstrated%20effectiveness%20in%20this%20field.%20However%2C%20the%20impact%20of%20reducing%20neural%20network%20complexity%20remains%20unexplored%20in%20the%20FF%20quantification%20in%20individual%20muscles.%5CnMATERIAL%20AND%20METHODS%3A%20U-Net%20architectures%20with%20different%20complexities%20have%20been%20compared%20for%20the%20quantification%20of%20the%20fat%20fraction%20in%20each%20muscle%20group%20selected%20in%20the%20central%20part%20of%20the%20thigh%20region.%20The%20corresponding%20performance%20has%20been%20assessed%20in%20terms%20of%20Dice%20score%20%28DSC%29%20and%20FF%20quantification%20error.%20The%20database%20contained%201450%20thigh%20images%20from%2059%20patients%20and%2014%20healthy%20subjects%20%28age%3A%2047%5Cu2009%5Cu00b1%5Cu200917%5Cu00a0years%2C%20sex%3A%2036F%2C%2037M%29.%20Ten%20individual%20muscles%20were%20segmented%20in%20each%20image.%20The%20performance%20of%20each%20model%20was%20compared%20to%20nnU-Net%2C%20a%20complex%20architecture%20with%204.35%20%5Cu00d7%20107%20parameters%2C%2012.8%20Gigabytes%20of%20peak%20memory%20usage%20and%20167%5Cu00a0h%20of%20training%20time.%5CnRESULTS%3A%20As%20expected%2C%20nnU-Net%20achieved%20the%20highest%20DSC%20%2894.77%5Cu2009%5Cu00b1%5Cu20090.13%25%29.%20A%20simpler%20U-Net%20%285.81%20%5Cu00d7%20105%20parameters%2C%202.37%20Gigabytes%2C%2014%5Cu00a0h%20of%20training%20time%29%20achieved%20a%20lower%20DSC%20but%20still%20above%2090%25.%20Surprisingly%2C%20both%20models%20achieved%20a%20comparable%20FF%20estimation.%5CnDISCUSSION%3A%20The%20poor%20correlation%20between%20observed%20DSC%20and%20FF%20indicates%20that%20less%20complex%20architectures%2C%20reducing%20GPU%20memory%20utilization%20and%20training%20time%2C%20can%20still%20accurately%20quantify%20FF.%22%2C%22date%22%3A%222025-01-11%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1007%5C%2Fs10334-024-01221-3%22%2C%22ISSN%22%3A%221352-8661%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22ZP8JD3DQ%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222025-01-14T09%3A53%3A59Z%22%7D%7D%2C%7B%22key%22%3A%22XWY2NCND%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Joppin%20et%20al.%22%2C%22parsedDate%22%3A%222024-11-20%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EJoppin%2C%20V.%2C%20Jourdan%2C%20A.%2C%20Bendahan%2C%20D.%2C%20Soucasse%2C%20A.%2C%20Guye%2C%20M.%2C%20Masson%2C%20C.%20and%20B%26%23xE8%3Bge%2C%20T.%20%282024%29%20%26%23x2018%3BTowards%20a%20better%20understanding%20of%20abdominal%20wall%20biomechanics%3A%20In%20vivo%20relationship%20between%20dynamic%20intra-abdominal%20pressure%20and%20magnetic%20resonance%20imaging%20measurements%26%23x2019%3B%2C%20%3Ci%3EClinical%20Biomechanics%20%28Bristol%2C%20Avon%29%3C%5C%2Fi%3E%2C%20121%2C%20p.%20106396.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.clinbiomech.2024.106396%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.clinbiomech.2024.106396%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Towards%20a%20better%20understanding%20of%20abdominal%20wall%20biomechanics%3A%20In%20vivo%20relationship%20between%20dynamic%20intra-abdominal%20pressure%20and%20magnetic%20resonance%20imaging%20measurements%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Victoria%22%2C%22lastName%22%3A%22Joppin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arthur%22%2C%22lastName%22%3A%22Jourdan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andr%5Cu00e9a%22%2C%22lastName%22%3A%22Soucasse%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Catherine%22%2C%22lastName%22%3A%22Masson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thierry%22%2C%22lastName%22%3A%22B%5Cu00e8ge%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20In%20vivo%20mechanical%20behaviour%20of%20the%20abdominal%20wall%20has%20been%20poorly%20characterised%20and%20important%20details%20are%20missing%20regarding%20the%20occurrence%20and%20post-operative%20recurrence%20rate%20of%20hernias%20which%20can%20be%20as%20high%20as%2030%5Cu00a0%25.%20This%20study%20aimed%20to%20assess%20the%20correlation%20between%20abdominal%20wall%20displacement%20and%20intra-abdominal%20pressure%2C%20as%20well%20as%20abdominal%20compliance.%5CnMETHODS%3A%20Eighteen%20healthy%20participants%20performed%20audio-guided%20passive%20%28breathing%29%20and%20active%20%28coughing%2C%20Valsalva%20maneuver%29%20exercises.%20Axial%20dynamic%20changes%20of%20abdominal%20muscles%20and%20visceral%20area%20were%20measured%20using%20MRI%2C%20and%20intra-abdominal%20pressure%20with%20ingested%20pressure%20sensor.%5CnFINDINGS%3A%20Correlations%20between%20abdominal%20wall%20displacement%20and%20intra-abdominal%20pressure%20were%20specific%20to%20participant%2C%20exercise%2C%20and%20varying%20between%20rectus%20abdominis%20and%20lateral%20muscles.%20Strong%20correlations%20were%20found%20between%20rectus%20abdominis%20displacement%20and%20intra-abdominal%20pressure%20during%20breathing%20%28r%5Cu00a0%3D%5Cu00a00.92%5Cu00a0%5Cu00b1%5Cu00a00.06%29%2C%20as%20well%20as%20lateral%20muscles%20displacement%20with%20intra-abdominal%20pressure%20during%20coughing%20and%20Valsalva%20maneuver%20%28r%5Cu00a0%3D%5Cu00a0-0.98%5Cu00a0%5Cu00b1%5Cu00a00.03%20and%5Cu00a0-%5Cu00a00.94%5Cu00a0%5Cu00b1%5Cu00a00.05%20respectively%29.%20The%20abdominal%20pseudo-compliance%20varied%20greatly%20among%20participants%20during%20muscular%20contraction%2C%20the%20coefficient%20of%20variation%20reaching%20up%20to%2070%5Cu00a0%25.%5CnINTERPRETATION%3A%20The%20combination%20of%20intra-abdominal%20pressure%20and%20dynamic%20MRI%20measurements%20enables%20the%20identification%20of%20participant-specific%20behaviour%20pattern.%20Intra-abdominal%20pressure%20and%20abdominal%20wall%20dynamic%20undergo%20consistent%20and%20predictable%20interactions.%20However%2C%20this%20relationship%20is%20subject-specific%20and%20may%20not%20be%20extrapolated%20to%20other%20individuals.%20Therefore%2C%20both%20intra-abdominal%20pressure%20and%20abdominal%20wall%20motion%20must%20be%20measured%20in%20the%20same%20participant%20in%20order%20to%20accurately%20characterise%20the%20abdominal%20wall%20behaviour.%20These%20results%20are%20of%20great%20importance%20for%20mesh%20design%2C%20surgical%20decision-making%2C%20and%20personalised%20healthcare.%22%2C%22date%22%3A%222024-11-20%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.clinbiomech.2024.106396%22%2C%22ISSN%22%3A%221879-1271%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-12-02T10%3A26%3A56Z%22%7D%7D%2C%7B%22key%22%3A%22YW85UVPN%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Matias%20et%20al.%22%2C%22parsedDate%22%3A%222024-09-03%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMatias%2C%20A.A.%2C%20Serviente%2C%20C.F.%2C%20Decker%2C%20S.T.%2C%20Erol%2C%20M.E.%2C%20Giuriato%2C%20G.%2C%20Le%20Fur%2C%20Y.%2C%20Nagarajan%2C%20R.%2C%20Bendahan%2C%20D.%20and%20Layec%2C%20G.%20%282024%29%20%26%23x2018%3BRepeatability%20of%20alkaline%20inorganic%20phosphate%20quantification%20in%20the%20skeletal%20muscle%20using%2031P-magnetic%20resonance%20spectroscopy%20at%203%26%23xA0%3BT%26%23x2019%3B%2C%20%3Ci%3ENMR%20in%20biomedicine%3C%5C%2Fi%3E%2C%20p.%20e5255.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.5255%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.5255%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Repeatability%20of%20alkaline%20inorganic%20phosphate%20quantification%20in%20the%20skeletal%20muscle%20using%2031P-magnetic%20resonance%20spectroscopy%20at%203%5Cu00a0T%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexs%20A.%22%2C%22lastName%22%3A%22Matias%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Corinna%20F.%22%2C%22lastName%22%3A%22Serviente%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stephen%20T.%22%2C%22lastName%22%3A%22Decker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammet%20Enes%22%2C%22lastName%22%3A%22Erol%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gaia%22%2C%22lastName%22%3A%22Giuriato%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%22%2C%22lastName%22%3A%22Le%20Fur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rajakumar%22%2C%22lastName%22%3A%22Nagarajan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gwenael%22%2C%22lastName%22%3A%22Layec%22%7D%5D%2C%22abstractNote%22%3A%22The%20detection%20of%20a%20secondary%20inorganic%20phosphate%20%28Pi%29%20resonance%2C%20a%20possible%20marker%20of%20mitochondrial%20content%20in%20vivo%2C%20using%20phosphorus%20magnetic%20resonance%20spectroscopy%20%2831P-MRS%29%2C%20poses%20technical%20challenges%20at%203%5Cu00a0Tesla%20%28T%29.%20Overcoming%20these%20challenges%20is%20imperative%20for%20the%20integration%20of%20this%20biomarker%20into%20clinical%20research.%20To%20evaluate%20the%20repeatability%20and%20reliability%20of%20measuring%20resting%20skeletal%20muscle%20alkaline%20Pi%20%28Pialk%29%20using%20with%2031P-MRS%20at%203%5Cu2009T.%20After%20an%20initial%20set%20of%20experiments%20on%20five%20subjects%20to%20optimize%20the%20sequence%2C%20resting%2031P-MRS%20of%20the%20quadriceps%20muscles%20were%20acquired%20on%20two%20visits%20%28~4%5Cu00a0days%20apart%29%20using%20an%20intra-subjects%20design%2C%20from%2013%20sedentary%20to%20moderately%20active%20young%20male%20and%20female%20adults%20%2822%5Cu2009%5Cu00b1%5Cu20093%5Cu00a0years%20old%29%20within%20a%20whole-body%203%5Cu00a0T%20MR%20system.%20Measurement%20variability%20attributed%20to%20changes%20in%20coil%20position%2C%20shimming%20procedure%2C%20and%20spectral%20analysis%20were%20quantified.%2031P-MRS%20data%20were%20acquired%20with%20a%2031P%5C%2F-proton%20%281H%29%20dual-tuned%20surface%20coil%20positioned%20on%20the%20quadriceps%20using%20a%20pulse-acquire%20sequence.%20Test-retest%20absolute%20and%20relative%20repeatability%20was%20analyzed%20using%20the%20coefficient%20of%20variation%20%28CV%29%20and%20intra-class%20correlation%20coefficients%20%28ICC%29%2C%20respectively.%20After%20sequence%20parameter%20optimization%2C%20Pialk%20demonstrated%20high%20intra-subject%20repeatability%20%28CV%3A%2010.6%5Cu2009%5Cu00b1%5Cu20095.4%25%2C%20ICC%3A%200.80%29.%20Proximo-distal%20change%20in%20coil%20position%20along%20the%20length%20of%20the%20quadriceps%20introduced%20Pialk%20quantitation%20variability%20%28CV%3A%2028%5Cu2009%5Cu00b1%5Cu20095%25%29%2C%20due%20to%20magnetic%20field%20inhomogeneity%20with%20more%20distal%20coil%20locations.%20In%20contrast%2C%20Pialk%20measurement%20variability%20due%20to%20repeated%20shims%20from%20the%20same%20muscle%20volume%20%280.40%5Cu2009%5Cu00b1%5Cu20090.09mM%3B%20CV%3A%206.6%25%29%2C%20and%20automated%20spectral%20processing%20%280.37%5Cu2009%5Cu00b1%5Cu20090.01mM%3B%20CV%3A%202.3%25%29%2C%20was%20minor.%20The%20quantification%20of%20Pialk%20in%20skeletal%20muscle%20via%20surface%20coil%2031P-MRS%20at%203%5Cu00a0T%20demonstrated%20excellent%20reproducibility.%20However%2C%20caution%20is%20advised%20against%20placing%20the%20coil%20at%20the%20distal%20part%20of%20the%20quadriceps%20to%20mitigate%20shimming%20inhomogeneity.%22%2C%22date%22%3A%222024-09-03%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fnbm.5255%22%2C%22ISSN%22%3A%221099-1492%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-09-06T08%3A43%3A05Z%22%7D%7D%2C%7B%22key%22%3A%224RM35DVD%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Macchi%20et%20al.%22%2C%22parsedDate%22%3A%222024-05%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMacchi%2C%20R.%2C%20Kunimasa%2C%20Y.%2C%20Chavet%2C%20P.%2C%20Corcelle%2C%20B.%2C%20Pomportes%2C%20L.%2C%20Fazzari%2C%20C.%2C%20Hays%2C%20A.%2C%20Vercruyssen%2C%20F.%2C%20Rossi%2C%20F.%2C%20Bendahan%2C%20D.%20and%20Nicol%2C%20C.%20%282024%29%20%26%23x2018%3BEffect%20of%20a%20graded%20running%20race%20on%20lower%20limb%20muscle%20damage%2C%20jump%20performance%20and%20muscle%20soreness%20in%20men%20and%20women%26%23x2019%3B%2C%20%3Ci%3EScandinavian%20Journal%20of%20Medicine%20%26amp%3B%20Science%20in%20Sports%3C%5C%2Fi%3E%2C%2034%285%29%2C%20p.%20e14643.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2Fsms.14643%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2Fsms.14643%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Effect%20of%20a%20graded%20running%20race%20on%20lower%20limb%20muscle%20damage%2C%20jump%20performance%20and%20muscle%20soreness%20in%20men%20and%20women%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robin%22%2C%22lastName%22%3A%22Macchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yoko%22%2C%22lastName%22%3A%22Kunimasa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pascale%22%2C%22lastName%22%3A%22Chavet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Baptiste%22%2C%22lastName%22%3A%22Corcelle%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laura%22%2C%22lastName%22%3A%22Pomportes%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Camille%22%2C%22lastName%22%3A%22Fazzari%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Hays%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fabrice%22%2C%22lastName%22%3A%22Vercruyssen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Francesca%22%2C%22lastName%22%3A%22Rossi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Caroline%22%2C%22lastName%22%3A%22Nicol%22%7D%5D%2C%22abstractNote%22%3A%22PURPOSE%3A%20Delayed%20structural%20and%20functional%20recovery%20after%20a%2020%5Cu2009km%20graded%20running%20race%20was%20analyzed%20with%20respect%20to%20the%20sex%20effect.%5CnMETHODS%3A%20Thirteen%20female%20and%2014%20male%20recreational%20runners%20completed%20the%20race%20and%20three%20test%20sessions%3A%20one%20before%20%28PRE%29%20and%20two%20after%2C%20once%20on%20Day%201%20or%202%20%28D1-2%29%20and%20then%20on%20Day%203%20or%204%20%28D3-4%29.%20Muscle%20damage%20was%20assessed%20indirectly%20using%20ultrasonography%20to%20quantify%20changes%20in%20cross-sectional%20area%20%28CSA%29%20of%2010%20lower-limb%20muscles.%20Delayed%20onset%20of%20muscle%20soreness%20%28DOMS%29%20was%20assessed%20for%20three%20muscle%20groups.%20Functional%20recovery%20was%20quantified%20by%20kinetic%20analysis%20of%20a%20squat%20jump%20%28SJ%29%20and%20a%20drop%20jump%20%28DJ%29%20test%20performed%20on%20a%20sledge%20ergometer.%20Linear%20mixed%20models%20were%20used%20to%20assess%20control%20group%20reproducibility%20and%20recovery%20patterns%20according%20to%20sex.%5CnRESULTS%3A%20Regardless%20of%20sex%2C%20DOMS%20peaked%20at%20D1-2%20for%20all%20muscle%20groups%20and%20resolved%20at%20D3-4.%20CSA%20was%20increased%20in%20each%20muscle%20group%20until%20D3-4%2C%20especially%20in%20the%20semimembranosus%20muscle.%20A%20specific%20increase%20was%20found%20in%20the%20short%20head%20of%20the%20biceps%20femoris%20in%20women.%20Regardless%20of%20sex%2C%20SJ%20and%20DJ%20performances%20declined%20up%20to%20D3-4.%20Depending%20on%20the%20muscle%2C%20positive%20and%5C%2For%20negative%20correlations%20were%20found%20between%20structural%20and%20functional%20changes.%20Some%20of%20these%20were%20sex-specific.%5CnCONCLUSION%3A%20Structural%20and%20functional%20recovery%20was%20incomplete%20in%20both%20sexes%20up%20to%20D3-4%2C%20although%20DOMS%20had%20disappeared.%20More%20emphasis%20should%20be%20placed%20on%20hamstring%20muscle%20recovery.%20Highlighting%20the%20intermuscular%20compensations%20that%20can%20occur%20during%20multi-joint%20testing%20tasks%2C%20the%20structural-functional%20relationships%20were%20either%20positive%20or%20negative%2C%20muscle-%20and%20sex-dependent.%22%2C%22date%22%3A%222024-05%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1111%5C%2Fsms.14643%22%2C%22ISSN%22%3A%221600-0838%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-05-13T08%3A45%3A47Z%22%7D%7D%2C%7B%22key%22%3A%22S2J8WZ96%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Michel%20et%20al.%22%2C%22parsedDate%22%3A%222024-03-29%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMichel%2C%20C.P.%2C%20Messonnier%2C%20L.A.%2C%20Giannesini%2C%20B.%2C%20Vilmen%2C%20C.%2C%20Sourdon%2C%20J.%2C%20Le%20Fur%2C%20Y.%20and%20Bendahan%2C%20D.%20%282024%29%20%26%23x2018%3BEndurance%20training%20and%20hydroxyurea%20have%20synergistic%20effects%20on%20muscle%20function%20and%20energetics%20in%20sickle%20cell%20disease%20mice%26%23x2019%3B%2C%20%3Ci%3EBlood%20Cells%2C%20Molecules%20%26amp%3B%20Diseases%3C%5C%2Fi%3E%2C%20107%2C%20p.%20102853.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.bcmd.2024.102853%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.bcmd.2024.102853%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Endurance%20training%20and%20hydroxyurea%20have%20synergistic%20effects%20on%20muscle%20function%20and%20energetics%20in%20sickle%20cell%20disease%20mice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laurent%20A.%22%2C%22lastName%22%3A%22Messonnier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Giannesini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Vilmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joevin%22%2C%22lastName%22%3A%22Sourdon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%22%2C%22lastName%22%3A%22Le%20Fur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Sickle%20cell%20disease%20%28SCD%29%20is%20an%20hemoglobinopathy%20resulting%20in%20the%20production%20of%20an%20abnormal%20Hb%20%28HbS%29%20which%20can%20polymerize%20in%20deoxygenated%20conditions%2C%20leading%20to%20the%20sickling%20of%20red%20blood%20cells%20%28RBC%29.%20These%20alterations%20can%20decrease%20the%20oxygen-carrying%20capacity%20leading%20to%20impaired%20function%20and%20energetics%20of%20skeletal%20muscle.%20Any%20strategy%20which%20could%20reverse%20the%20corresponding%20defects%20could%20be%20of%20interest.%20In%20SCD%2C%20endurance%20training%20is%20known%20to%20improve%20multiples%20muscle%20properties%20which%20restores%20patient%27s%20exercise%20capacity%20but%20present%20reduced%20effects%20in%20anemic%20patients.%20Hydroxyurea%20%28HU%29%20can%20increase%20fetal%20hemoglobin%20production%20which%20can%20reduce%20anemia%20in%20patients.%20The%20present%20study%20was%20conducted%20to%20determine%20whether%20HU%20can%20improve%20the%20effects%20of%20endurance%20training%20to%20improve%20muscle%20function%20and%20energetics.%20Twenty%20SCD%20Townes%20mice%20have%20been%20trained%20for%208%5Cu00a0weeks%20with%20%28n%5Cu00a0%3D%5Cu00a011%29%20or%20without%20%28n%5Cu00a0%3D%5Cu00a09%29%20HU.%20SCD%20mice%20muscle%20function%20and%20energetics%20were%20analyzed%20during%20a%20standardized%20rest-exercise-recovery%20protocol%2C%20using%20Phosphorus-31%20Magnetic%20resonance%20spectroscopy%20%2831P-MRS%29%20and%20transcutaneous%20stimulation.%20The%20combination%20of%20training%20and%20HU%20specifically%20decreased%20fatigue%20index%20and%20PCr%20consumption%20while%20muscle%20oxidative%20capacity%20was%20improved.%20These%20results%20illustrate%20the%20potential%20synergistic%20effects%20of%20endurance%20training%20and%20HU%20on%20muscle%20function%20and%20energetics%20in%20sickle%20cell%20disease.%22%2C%22date%22%3A%222024-03-29%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.bcmd.2024.102853%22%2C%22ISSN%22%3A%221096-0961%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22ZP8JD3DQ%22%5D%2C%22dateModified%22%3A%222025-01-15T08%3A58%3A17Z%22%7D%7D%2C%7B%22key%22%3A%22YG4NEEFH%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Brui%20et%20al.%22%2C%22parsedDate%22%3A%222024%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EBrui%2C%20E.A.%2C%20Badrieva%2C%20Z.%2C%20de%20Mayenne%2C%20C.-A.%2C%20Rapacchi%2C%20S.%2C%20Troalen%2C%20T.%20and%20Bendahan%2C%20D.%20%282024%29%20%26%23x2018%3BMitigating%20slice%20cross-talk%20in%20multi-slice%20multi-echo%20spin%20echo%20T2%20mapping%26%23x2019%3B%2C%20%3Ci%3EMagnetic%20Resonance%20in%20Medicine%3C%5C%2Fi%3E%2C%2091%285%29%2C%20pp.%202089%26%23x2013%3B2103.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmrm.29987%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmrm.29987%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Mitigating%20slice%20cross-talk%20in%20multi-slice%20multi-echo%20spin%20echo%20T2%20mapping%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ekaterina%20A.%22%2C%22lastName%22%3A%22Brui%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Zilya%22%2C%22lastName%22%3A%22Badrieva%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charles-Alexis%22%2C%22lastName%22%3A%22de%20Mayenne%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanislas%22%2C%22lastName%22%3A%22Rapacchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Troalen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Purpose%20To%20investigate%20whether%20a%20T2%20inter-slice%20variation%20could%20occur%20when%20a%20multi-slice%20multi-echo%20spin%20echo%20%28MESE%29%20sequence%20is%20used%20for%20image%20acquisition%20and%20to%20propose%20an%20enhanced%20method%20for%20reconstructing%20T2%20maps%20that%20can%20effectively%20address%20and%20correct%20these%20variations.%20Methods%20Bloch%20simulations%20were%20performed%20accounting%20for%20the%20direct%20saturation%20effect%20to%20evaluate%20magnetization%20changes%20in%20multi-slice%202D%20MESE%20sequence.%20Experimental%20phantom%20scans%20were%20performed%20to%20validate%20these%20simulations.%20An%20improved%20version%20of%20the%20dictionary-based%20reconstruction%20approach%20was%20proposed%2C%20enabling%20the%20creation%20of%20a%20multi-slice%20dictionary%20of%20echo%20modulation%20curves%20%28EMC%29.%20The%20corresponding%20method%20has%20been%20assayed%20considering%20inter-slice%20T2%20variation%20with%20phantoms%20and%20in%20lower%20leg.%20Results%20Experimental%20and%20numerical%20study%20illustrate%20that%20direct%20saturation%20leads%20to%20a%20bias%20of%20EMCs.%20This%20bias%20during%20the%20T2%20maps%20reconstructions%20using%20original%20single-slice%20EMC-dictionary%20method%20led%20to%20inter-slice%20T2%20variation%20of%202.03%25%20in%20average%20coefficient%20of%20variation%20%28CV%29%20in%20agarose%20phantoms%2C%20and%20up%20to%202.8%25%20in%20vivo%20%28for%20TR%20%3D%202%20s%2C%20slice%20gap%20%3D%200%25%29.%20A%20reduction%20of%20CV%20was%20observed%20when%20increasing%20the%20gap%20up%20to%20100%25%20%280.36%25%20in%20phantoms%2C%20and%20up%20to%201.5%25%20in%20vivo%29%20or%20increasing%20TR%20up%20to%204%20s%20%280.76%25%20in%20phantoms%2C%20and%20up%20to%201.9%25%20in%20vivo%29.%20Matching%20the%20multi-slice%20experimental%20data%20with%20multi-slice%20dictionaries%20provided%20a%20reduced%20CV%20of%200.54%25%20in%20phantoms%20and%20up%20to%202.3%25%20in%20vivo.%20Conclusion%20T2%20values%20quantified%20from%20multi-slice%20MESE%20images%20using%20single-slice%20dictionaries%20are%20biased.%20A%20dedicated%20multi-slice%20EMC%20method%20providing%20the%20appropriate%20dictionaries%20can%20reduce%20the%20inter-slice%20T2%20variation.%22%2C%22date%22%3A%222024%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fmrm.29987%22%2C%22ISSN%22%3A%221522-2594%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2Fabs%5C%2F10.1002%5C%2Fmrm.29987%22%2C%22collections%22%3A%5B%226GBQDAVI%22%2C%22NW6SZQBR%22%2C%22SK6VWU7K%22%5D%2C%22dateModified%22%3A%222024-03-21T13%3A25%3A42Z%22%7D%7D%2C%7B%22key%22%3A%227FHVK5PB%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Guenoun%20et%20al.%22%2C%22parsedDate%22%3A%222023-08-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EGuenoun%2C%20D.%2C%20Wirth%2C%20T.%2C%20Roche%2C%20D.%2C%20Michel%2C%20C.P.%2C%20Daud%26%23xE9%3B%2C%20P.%2C%20Ogier%2C%20A.C.%2C%20Chagnaud%2C%20C.%2C%20Mattei%2C%20J.P.%2C%20Pini%2C%20L.%2C%20Guye%2C%20M.%2C%20Ollivier%2C%20M.%2C%20Bendahan%2C%20D.%20and%20Guis%2C%20S.%20%282023%29%20%26%23x2018%3BUltra-high%20field%20magnetic%20resonance%20imaging%20of%20the%20quadriceps%20tendon%20enthesis%20in%20healthy%20subjects%26%23x2019%3B%2C%20%3Ci%3ESurgical%20and%20Radiologic%20Anatomy%3C%5C%2Fi%3E%2C%2045%288%29%2C%20pp.%201049%26%23x2013%3B1054.%20Available%20at%3A%20%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00276-023-03175-y%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00276-023-03175-y%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Ultra-high%20field%20magnetic%20resonance%20imaging%20of%20the%20quadriceps%20tendon%20enthesis%20in%20healthy%20subjects%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daphne%22%2C%22lastName%22%3A%22Guenoun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Theo%22%2C%22lastName%22%3A%22Wirth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Damien%22%2C%22lastName%22%3A%22Roche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pierre%22%2C%22lastName%22%3A%22Daud%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Chagnaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean%20Pierre%22%2C%22lastName%22%3A%22Mattei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lauriane%22%2C%22lastName%22%3A%22Pini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthieu%22%2C%22lastName%22%3A%22Ollivier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sandrine%22%2C%22lastName%22%3A%22Guis%22%7D%5D%2C%22abstractNote%22%3A%22Although%20enthesitis%20is%20a%20hallmark%20of%20several%20rheumatologic%20conditions%2C%20current%20imaging%20methods%20are%20still%20unable%20to%20characterize%20entheses%20changes%20because%20of%20the%20corresponding%20short%20transverse%20relaxation%20times%20%28T2%29.%20A%20growing%20number%20of%20MR%20studies%20have%20used%20Ultra-High%20Field%20%28UHF%29%20MRI%20in%20order%20to%20assess%20low-T2%20tissues%20e.g.%2C%20tendon%20but%20never%20in%20humans.%20The%20purpose%20of%20the%20present%20study%20was%20to%20assess%20in%20vivo%20the%20enthesis%20of%20the%20quadriceps%20tendon%20in%20healthy%20subjects%20using%20UHF%20MRI.%22%2C%22date%22%3A%222023-08-01%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1007%5C%2Fs00276-023-03175-y%22%2C%22ISSN%22%3A%221279-8517%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00276-023-03175-y%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%226BEMAGEW%22%2C%2248SZ2I24%22%2C%22ZP8JD3DQ%22%2C%22ACGLJ26R%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-12-05T16%3A12%3A38Z%22%7D%7D%2C%7B%22key%22%3A%223YUCALSM%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22lastModifiedByUser%22%3A%7B%22id%22%3A1497928%2C%22username%22%3A%22fkober%22%2C%22name%22%3A%22Frank%20Kober%22%2C%22links%22%3A%7B%22alternate%22%3A%7B%22href%22%3A%22https%3A%5C%2F%5C%2Fwww.zotero.org%5C%2Ffkober%22%2C%22type%22%3A%22text%5C%2Fhtml%22%7D%7D%7D%2C%22creatorSummary%22%3A%22Vladimirov%20et%20al.%22%2C%22parsedDate%22%3A%222023-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EVladimirov%2C%20N.%2C%20Brui%2C%20E.%2C%20Levchuk%2C%20A.%2C%20Al-Haidri%2C%20W.%2C%20Fokin%2C%20V.%2C%20Efimtcev%2C%20A.%20and%20Bendahan%2C%20D.%20%282023%29%20%26%23x2018%3BCNN-based%20fully%20automatic%20wrist%20cartilage%20volume%20quantification%20in%20MR%20images%3A%20A%20comparative%20analysis%20between%20different%20CNN%20architectures%26%23x2019%3B%2C%20%3Ci%3EMagnetic%20Resonance%20in%20Medicine%3C%5C%2Fi%3E%2C%2090%282%29%2C%20pp.%20737%26%23x2013%3B751.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmrm.29671%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmrm.29671%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22CNN-based%20fully%20automatic%20wrist%20cartilage%20volume%20quantification%20in%20MR%20images%3A%20A%20comparative%20analysis%20between%20different%20CNN%20architectures%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nikita%22%2C%22lastName%22%3A%22Vladimirov%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ekaterina%22%2C%22lastName%22%3A%22Brui%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anatoliy%22%2C%22lastName%22%3A%22Levchuk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Walid%22%2C%22lastName%22%3A%22Al-Haidri%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vladimir%22%2C%22lastName%22%3A%22Fokin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aleksandr%22%2C%22lastName%22%3A%22Efimtcev%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22PURPOSE%3A%20Automatic%20measurement%20of%20wrist%20cartilage%20volume%20in%20MR%20images.%5CnMETHODS%3A%20We%20assessed%20the%20performance%20of%20four%20manually%20optimized%20variants%20of%20the%20U-Net%20architecture%2C%20nnU-Net%20and%20Mask%20R-CNN%20frameworks%20for%20the%20segmentation%20of%20wrist%20cartilage.%20The%20results%20were%20compared%20to%20those%20from%20a%20patch-based%20convolutional%20neural%20network%20%28CNN%29%20we%20previously%20designed.%20The%20segmentation%20quality%20was%20assessed%20on%20the%20basis%20of%20a%20comparative%20analysis%20with%20manual%20segmentation.%20The%20best%20networks%20were%20compared%20using%20a%20cross-validation%20approach%20on%20a%20dataset%20of%2033%203D%20VIBE%20images%20of%20mostly%20healthy%20volunteers.%20Influence%20of%20some%20image%20parameters%20on%20the%20segmentation%20reproducibility%20was%20assessed.%5CnRESULTS%3A%20The%20U-Net-based%20networks%20outperformed%20the%20patch-based%20CNN%20in%20terms%20of%20segmentation%20homogeneity%20and%20quality%2C%20while%20Mask%20R-CNN%20did%20not%20show%20an%20acceptable%20performance.%20The%20median%203D%20DSC%20value%20computed%20with%20the%20U-Net_AL%20%280.817%29%20was%20significantly%20larger%20than%20DSC%20values%20computed%20with%20the%20other%20networks.%20In%20addition%2C%20the%20U-Net_AL%20provided%20the%20lowest%20mean%20volume%20error%20%2817%25%29%20and%20the%20highest%20Pearson%20correlation%20coefficient%20%280.765%29%20with%20respect%20to%20the%20ground%20truth%20values.%20Of%20interest%2C%20the%20reproducibility%20computed%20using%20U-Net_AL%20was%20larger%20than%20the%20reproducibility%20of%20the%20manual%20segmentation.%20Moreover%2C%20the%20results%20indicate%20that%20the%20MRI-based%20wrist%20cartilage%20volume%20is%20strongly%20affected%20by%20the%20image%20resolution.%5CnCONCLUSIONS%3A%20U-Net%20CNN%20with%20attention%20layers%20provided%20the%20best%20wrist%20cartilage%20segmentation%20performance.%20In%20order%20to%20be%20used%20in%20clinical%20conditions%2C%20the%20trained%20network%20can%20be%20fine-tuned%20on%20a%20dataset%20representing%20a%20group%20of%20specific%20patients.%20The%20error%20of%20cartilage%20volume%20measurement%20should%20be%20assessed%20independently%20using%20a%20non-MRI%20method.%22%2C%22date%22%3A%222023-08%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fmrm.29671%22%2C%22ISSN%22%3A%221522-2594%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-03-22T09%3A22%3A14Z%22%7D%7D%2C%7B%22key%22%3A%22TAQA93I8%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Michel%20et%20al.%22%2C%22parsedDate%22%3A%222023-02%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMichel%2C%20C.P.%2C%20Bendahan%2C%20D.%2C%20Giannesini%2C%20B.%2C%20Vilmen%2C%20C.%2C%20Le%20Fur%2C%20Y.%20and%20Messonnier%2C%20L.A.%20%282023%29%20%26%23x2018%3BEffects%20of%20hydroxyurea%20on%20skeletal%20muscle%20energetics%20and%20force%20production%20in%20a%20sickle%20cell%20disease%20murine%20model%26%23x2019%3B%2C%20%3Ci%3EJournal%20of%20Applied%20Physiology%3C%5C%2Fi%3E%2C%20134%282%29%2C%20pp.%20415%26%23x2013%3B425.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1152%5C%2Fjapplphysiol.00333.2022%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1152%5C%2Fjapplphysiol.00333.2022%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Effects%20of%20hydroxyurea%20on%20skeletal%20muscle%20energetics%20and%20force%20production%20in%20a%20sickle%20cell%20disease%20murine%20model%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Giannesini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Vilmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%22%2C%22lastName%22%3A%22Le%20Fur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laurent%20A.%22%2C%22lastName%22%3A%22Messonnier%22%7D%5D%2C%22abstractNote%22%3A%22Download%20figureDownload%20PowerPoint%22%2C%22date%22%3A%222023-02%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1152%5C%2Fjapplphysiol.00333.2022%22%2C%22ISSN%22%3A%228750-7587%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.physiology.org%5C%2Fdoi%5C%2Fabs%5C%2F10.1152%5C%2Fjapplphysiol.00333.2022%22%2C%22collections%22%3A%5B%22SVI8UJ6H%22%2C%227FK4UDH9%22%2C%22NW6SZQBR%22%2C%226DHTGFMA%22%2C%22ZP8JD3DQ%22%5D%2C%22dateModified%22%3A%222024-05-03T05%3A40%3A15Z%22%7D%7D%2C%7B%22key%22%3A%22DIAU28DV%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Heskamp%20et%20al.%22%2C%22parsedDate%22%3A%222023-01-12%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHeskamp%2C%20L.%2C%20Ogier%2C%20A.%2C%20Bendahan%2C%20D.%20and%20Heerschap%2C%20A.%20%282023%29%20%26%23x2018%3BAuthor%20Correction%3A%20Whole-muscle%20fat%20analysis%20identifies%20distal%20muscle%20end%20as%20disease%20initiation%20site%20in%20facioscapulohumeral%20muscular%20dystrophy%26%23x2019%3B%2C%20%3Ci%3ECommunications%20Medicine%3C%5C%2Fi%3E%2C%203%281%29%2C%20p.%206.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs43856-023-00236-6%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs43856-023-00236-6%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Author%20Correction%3A%20Whole-muscle%20fat%20analysis%20identifies%20distal%20muscle%20end%20as%20disease%20initiation%20site%20in%20facioscapulohumeral%20muscular%20dystrophy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Linda%22%2C%22lastName%22%3A%22Heskamp%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arend%22%2C%22lastName%22%3A%22Heerschap%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222023-01-12%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1038%5C%2Fs43856-023-00236-6%22%2C%22ISSN%22%3A%222730-664X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%2248SZ2I24%22%5D%2C%22dateModified%22%3A%222023-11-06T09%3A37%3A40Z%22%7D%7D%2C%7B%22key%22%3A%2237VZFDGX%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Durelle%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDurelle%2C%20C.%2C%20Delmont%2C%20E.%2C%20Michel%2C%20C.%2C%20Trabelsi%2C%20A.%2C%20Hostin%2C%20M.-A.%2C%20Ogier%2C%20A.%2C%20Bendahan%2C%20D.%20and%20Attarian%2C%20S.%20%282023%29%20%26%23x2018%3BQuantification%20of%20muscle%20involvement%20in%20familial%20amyloid%20polyneuropathy%20using%20MRI%26%23x2019%3B%2C%20%3Ci%3EEuropean%20Journal%20of%20Neurology%3C%5C%2Fi%3E%2C%2030%2810%29%2C%20pp.%203286%26%23x2013%3B3295.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2Fene.15970%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2Fene.15970%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantification%20of%20muscle%20involvement%20in%20familial%20amyloid%20polyneuropathy%20using%20MRI%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cl%5Cu00e9mence%22%2C%22lastName%22%3A%22Durelle%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emilien%22%2C%22lastName%22%3A%22Delmont%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amira%22%2C%22lastName%22%3A%22Trabelsi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc-Adrien%22%2C%22lastName%22%3A%22Hostin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shahram%22%2C%22lastName%22%3A%22Attarian%22%7D%5D%2C%22abstractNote%22%3A%22Background%20and%20purpose%20Transthyretin%20familial%20amyloid%20polyneuropathy%20%28TTR-FAP%29%20is%20a%20rare%20genetic%20disease%20with%20autosomal-dominant%20inheritance.%20In%20this%20study%2C%20we%20aimed%20to%20quantify%20fatty%20infiltration%20%28fat%20fraction%20%5BFF%5D%29%20and%20magnetization%20transfer%20ratio%20%28MTR%29%20in%20individual%20muscles%20of%20patients%20with%20symptomatic%20and%20asymptomatic%20TTR-FAP%20using%20magnetic%20resonance%20imaging.%20Secondarily%2C%20we%20aimed%20to%20assess%20correlations%20with%20clinical%20and%20electrophysiological%20variables.%20Methods%20A%20total%20of%2039%20patients%20with%20a%20confirmed%20mutation%20in%20the%20TTR%20gene%20%2825%20symptomatic%20and%2014%20asymptomatic%29%20and%2014%20healthy%20volunteers%20were%20included.%20A%20total%20of%2016%20muscles%20were%20manually%20delineated%20in%20the%20nondominant%20lower%20limb%20from%20T1-weighted%20anatomical%20images.%20The%20corresponding%20masks%20were%20propagated%20on%20the%20MTR%20and%20FF%20maps.%20Detailed%20neurological%20and%20electrophysiological%20examinations%20were%20conducted%20in%20each%20group.%20Results%20The%20MTR%20was%20decreased%20%2842.6%20AU%3B%20p%20%3D%200.001%29%20and%20FF%20was%20elevated%20%2814%25%3B%20p%20%3D%200.003%29%20in%20the%20lower%20limbs%20of%20the%20symptomatic%20group%2C%20with%20preferential%20posterior%20and%20lateral%20involvement.%20In%20the%20asymptomatic%20group%2C%20elevated%20FF%20was%20quantified%20in%20the%20gastrocnemius%20lateralis%20muscle%20%2811%25%3B%20p%20%3D%200.021%29.%20FF%20was%20significantly%20correlated%20with%20disease%20duration%20%28r%20%3D%200.49%2C%20p%20%3D%200.015%29%2C%20neuropathy%20impairment%20score%20for%20the%20lower%20limb%20%28r%20%3D%200.42%2C%20p%20%3D%200.041%29%2C%20Overall%20Neuropathy%20Limitations%20Scale%20score%20%28r%20%3D%200.49%2C%20p%20%3D%200.013%29%2C%20polyneuropathy%20disability%20score%20%28r%20%3D%200.57%2C%20p%20%3D%200.03%29%20and%20the%20sum%20of%20compound%20muscle%20action%20potential%20%28r%20%3D%200.52%2C%20p%20%3D%200.009%29.%20MTR%20was%20strongly%20correlated%20to%20FF%20%28r%20%3D%200.78%2C%20p%20%3C%200.0001%29%2C%20and%20a%20few%20muscles%20with%20an%20FF%20within%20the%20normal%20range%20had%20a%20reduced%20MTR.%20Conclusion%20These%20observations%20suggest%20that%20FF%20and%20MTR%20could%20be%20interesting%20biomarkers%20in%20TTR-FAP.%20In%20asymptomatic%20patients%2C%20FF%20in%20the%20gastrocnemius%20lateralis%20muscle%20could%20be%20a%20good%20indicator%20of%20the%20transition%20from%20an%20asymptomatic%20to%20a%20symptomatic%20form%20of%20the%20disease.%20MTR%20could%20be%20an%20early%20biomarker%20of%20muscle%20alterations.%22%2C%22date%22%3A%222023%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1111%5C%2Fene.15970%22%2C%22ISSN%22%3A%221468-1331%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2Fabs%5C%2F10.1111%5C%2Fene.15970%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%2248SZ2I24%22%5D%2C%22dateModified%22%3A%222024-11-21T08%3A40%3A54Z%22%7D%7D%2C%7B%22key%22%3A%22QUUBG9E5%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hostin%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHostin%2C%20M.-A.%2C%20Ogier%2C%20A.C.%2C%20Michel%2C%20C.P.%2C%20Le%20Fur%2C%20Y.%2C%20Guye%2C%20M.%2C%20Attarian%2C%20S.%2C%20Fortanier%2C%20E.%2C%20Bellemare%2C%20M.-E.%20and%20Bendahan%2C%20D.%20%282023%29%20%26%23x2018%3BThe%20Impact%20of%20Fatty%20Infiltration%20on%20MRI%20Segmentation%20of%20Lower%20Limb%20Muscles%20in%20Neuromuscular%20Diseases%3A%20A%20Comparative%20Study%20of%20Deep%20Learning%20Approaches%26%23x2019%3B%2C%20%3Ci%3EJournal%20of%20Magnetic%20Resonance%20Imaging%3C%5C%2Fi%3E%2C%2058%286%29%2C%20pp.%201826%26%23x2013%3B1835.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fjmri.28708%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fjmri.28708%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Impact%20of%20Fatty%20Infiltration%20on%20MRI%20Segmentation%20of%20Lower%20Limb%20Muscles%20in%20Neuromuscular%20Diseases%3A%20A%20Comparative%20Study%20of%20Deep%20Learning%20Approaches%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc-Adrien%22%2C%22lastName%22%3A%22Hostin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%22%2C%22lastName%22%3A%22Le%20Fur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shahram%22%2C%22lastName%22%3A%22Attarian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Etienne%22%2C%22lastName%22%3A%22Fortanier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc-Emmanuel%22%2C%22lastName%22%3A%22Bellemare%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Background%20Deep%20learning%20methods%20have%20been%20shown%20to%20be%20useful%20for%20segmentation%20of%20lower%20limb%20muscle%20MRIs%20of%20healthy%20subjects%20but%2C%20have%20not%20been%20sufficiently%20evaluated%20on%20neuromuscular%20disease%20%28NDM%29%20patients.%20Purpose%20Evaluate%20the%20influence%20of%20fat%20infiltration%20on%20convolutional%20neural%20network%20%28CNN%29%20segmentation%20of%20MRIs%20from%20NMD%20patients.%20Study%20Type%20Retrospective%20study.%20Subjects%20Data%20were%20collected%20from%20a%20hospital%20database%20of%2067%20patients%20with%20NMDs%20and%2014%20controls%20%28age%3A%2053%20%5Cu00b1%2017%20years%2C%20sex%3A%2048%20M%2C%2033%20F%29.%20Ten%20individual%20muscles%20were%20segmented%20from%20the%20thigh%20and%20six%20from%20the%20calf%20%2820%20slices%2C%20200%20cm%20section%29.%20Field%20Strength%5C%2FSequence%20A%201.5%20T.%20Sequences%3A%202D%20T1-weighted%20fast%20spin%20echo.%20Fat%20fraction%20%28FF%29%3A%20three-point%20Dixon%203D%20GRE%2C%20magnetization%20transfer%20ratio%20%28MTR%29%3A%203D%20MT-prepared%20GRE%2C%20T2%3A%202D%20multispin-echo%20sequence.%20Assessment%20U-Net%202D%2C%20U-Net%203D%2C%20TransUNet%2C%20and%20HRNet%20were%20trained%20to%20segment%20thigh%20and%20leg%20muscles%20%28101%5C%2F11%20and%2095%5C%2F11%20training%5C%2Fvalidation%20images%2C%2010-fold%20cross-validation%29.%20Automatic%20and%20manual%20segmentations%20were%20compared%20based%20on%20geometric%20criteria%20%28Dice%20coefficient%20%5BDSC%5D%2C%20outlier%20rate%2C%20absence%20rate%29%20and%20reliability%20of%20measured%20MRI%20quantities%20%28FF%2C%20MTR%2C%20T2%2C%20volume%29.%20Statistical%20Tests%20Bland%5Cu2013Altman%20plots%20were%20chosen%20to%20describe%20agreement%20between%20manual%20vs.%20automatic%20estimated%20FF%2C%20MTR%2C%20T2%20and%20volume.%20Comparisons%20were%20made%20between%20muscle%20populations%20with%20an%20FF%20greater%20than%2020%25%20%28G20%2B%29%20and%20lower%20than%2020%25%20%28G20%5Cu2212%29.%20Results%20The%20CNNs%20achieved%20equivalent%20results%2C%20yet%20only%20HRNet%20recognized%20every%20muscle%20in%20the%20database%2C%20with%20a%20DSC%20of%200.91%20%5Cu00b1%200.08%2C%20and%20measurement%20biases%20reaching%20%5Cu22120.32%25%20%5Cu00b1%200.92%25%20for%20FF%2C%200.19%20%5Cu00b1%200.77%20for%20MTR%2C%20%5Cu22120.55%20%5Cu00b1%201.95%20msec%20for%20T2%2C%20and%20%5Cu2212%200.38%20%5Cu00b1%203.67%20cm3%20for%20volume.%20The%20performances%20of%20HRNet%2C%20between%20G20%5Cu2212%20and%20G20%2B%20decreased%20significantly.%20Data%20Conclusion%20HRNet%20was%20the%20most%20appropriate%20network%2C%20as%20it%20did%20not%20omit%20any%20muscle.%20The%20accuracy%20obtained%20shows%20that%20CNNs%20could%20provide%20fully%20automated%20methods%20for%20studying%20NMDs.%20However%2C%20the%20accuracy%20of%20the%20methods%20may%20be%20degraded%20on%20the%20most%20infiltrated%20muscles%20%28%3E20%25%29.%20Evidence%20Level%204.%20Technical%20Efficacy%20Stage%201.%22%2C%22date%22%3A%222023%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fjmri.28708%22%2C%22ISSN%22%3A%221522-2586%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2Fabs%5C%2F10.1002%5C%2Fjmri.28708%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-11-21T08%3A40%3A53Z%22%7D%7D%2C%7B%22key%22%3A%2278WZLEDK%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Nassar%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ENassar%2C%20J.%2C%20Trabelsi%2C%20A.%2C%20Amer%2C%20R.%2C%20Le%20Fur%2C%20Y.%2C%20Attarian%2C%20S.%2C%20Radunsky%2C%20D.%2C%20Blumenfeld-Katzir%2C%20T.%2C%20Greenspan%2C%20H.%2C%20Bendahan%2C%20D.%20and%20Ben-Eliezer%2C%20N.%20%282023%29%20%26%23x2018%3BEstimation%20of%20subvoxel%20fat%20infiltration%20in%20neurodegenerative%20muscle%20disorders%20using%20quantitative%20multi-T2%20analysis%26%23x2019%3B%2C%20%3Ci%3ENMR%20in%20Biomedicine%3C%5C%2Fi%3E%2C%2036%289%29%2C%20p.%20e4947.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4947%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4947%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Estimation%20of%20subvoxel%20fat%20infiltration%20in%20neurodegenerative%20muscle%20disorders%20using%20quantitative%20multi-T2%20analysis%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jannette%22%2C%22lastName%22%3A%22Nassar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amira%22%2C%22lastName%22%3A%22Trabelsi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rula%22%2C%22lastName%22%3A%22Amer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%22%2C%22lastName%22%3A%22Le%20Fur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shahram%22%2C%22lastName%22%3A%22Attarian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dvir%22%2C%22lastName%22%3A%22Radunsky%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tamar%22%2C%22lastName%22%3A%22Blumenfeld-Katzir%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hayit%22%2C%22lastName%22%3A%22Greenspan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Noam%22%2C%22lastName%22%3A%22Ben-Eliezer%22%7D%5D%2C%22abstractNote%22%3A%22MRI%27s%20T2%20relaxation%20time%20is%20a%20valuable%20biomarker%20for%20neuromuscular%20disorders%20and%20muscle%20dystrophies.%20One%20of%20the%20hallmarks%20of%20these%20pathologies%20is%20the%20infiltration%20of%20adipose%20tissue%20and%20a%20loss%20of%20muscle%20volume.%20This%20leads%20to%20a%20mixture%20of%20two%20signal%20components%2C%20from%20fat%20and%20from%20water%2C%20to%20appear%20in%20each%20imaged%20voxel%2C%20each%20having%20a%20specific%20T2%20relaxation%20time.%20In%20this%20proof-of-concept%20work%2C%20we%20present%20a%20technique%20that%20can%20separate%20the%20signals%20from%20water%20and%20from%20fat%20within%20each%20voxel%2C%20measure%20their%20separate%20T2%20values%2C%20and%20calculate%20their%20relative%20fractions.%20The%20echo%20modulation%20curve%20%28EMC%29%20algorithm%20is%20a%20dictionary-based%20technique%20that%20offers%20accurate%20and%20reproducible%20mapping%20of%20T2%20relaxation%20times.%20We%20present%20an%20extension%20of%20the%20EMC%20algorithm%20for%20estimating%20subvoxel%20fat%20and%20water%20fractions%2C%20alongside%20the%20T2%20and%20proton-density%20values%20of%20each%20component.%20To%20facilitate%20data%20processing%2C%20calf%20and%20thigh%20anatomy%20were%20automatically%20segmented%20using%20a%20fully%20convolutional%20neural%20network%20and%20FSLeyes%20software.%20The%20preprocessing%20included%20creating%20two%20signal%20dictionaries%2C%20for%20water%20and%20for%20fat%2C%20using%20Bloch%20simulations%20of%20the%20prospective%20protocol.%20Postprocessing%20included%20voxelwise%20fitting%20for%20two%20components%2C%20by%20matching%20the%20experimental%20decay%20curve%20to%20a%20linear%20combination%20of%20the%20two%20simulated%20dictionaries.%20Subvoxel%20fat%20and%20water%20fractions%20and%20relaxation%20times%20were%20generated%20and%20used%20to%20calculate%20a%20new%20quantitative%20biomarker%2C%20termed%20viable%20muscle%20index%2C%20and%20reflecting%20disease%20severity.%20This%20biomarker%20indicates%20the%20fraction%20of%20remaining%20muscle%20out%20of%20the%20entire%20muscle%20region.%20The%20results%20were%20compared%20with%20those%20using%20the%20conventional%20Dixon%20technique%2C%20showing%20high%20agreement%20%28R%20%3D%200.98%2C%20p%20%3C%200.001%29.%20It%20was%20concluded%20that%20the%20new%20extension%20of%20the%20EMC%20algorithm%20can%20be%20used%20to%20quantify%20abnormal%20fat%20infiltration%20as%20well%20as%20identify%20early%20inflammatory%20processes%20corresponding%20to%20elevation%20in%20the%20T2%20value%20of%20the%20water%20%28muscle%29%20component.%20This%20new%20ability%20may%20improve%20the%20diagnostic%20accuracy%20of%20neuromuscular%20diseases%2C%20help%20stratification%20of%20patients%20according%20to%20disease%20severity%2C%20and%20offer%20an%20efficient%20tool%20for%20tracking%20disease%20progression.%22%2C%22date%22%3A%222023%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fnbm.4947%22%2C%22ISSN%22%3A%221099-1492%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2Fabs%5C%2F10.1002%5C%2Fnbm.4947%22%2C%22collections%22%3A%5B%22SVI8UJ6H%22%2C%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-07-26T08%3A15%3A28Z%22%7D%7D%2C%7B%22key%22%3A%22PB82YLPA%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Poullain%20et%20al.%22%2C%22parsedDate%22%3A%222022-12-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPoullain%2C%20F.%2C%20Champsaur%2C%20P.%2C%20Pauly%2C%20V.%2C%20Knoepflin%2C%20P.%2C%20Le%20Corroller%2C%20T.%2C%20Creze%2C%20M.%2C%20Pithioux%2C%20M.%2C%20Bendahan%2C%20D.%20and%20Guenoun%2C%20D.%20%282022%29%20%26%23x2018%3BVertebral%20trabecular%20bone%20texture%20analysis%20in%20opportunistic%20MRI%20and%20CT%20scan%20can%20distinguish%20patients%20with%20and%20without%20osteoporotic%20vertebral%20fracture%3A%20A%20preliminary%20study%26%23x2019%3B%2C%20%3Ci%3EEuropean%20Journal%20of%20Radiology%3C%5C%2Fi%3E%2C%20158%2C%20p.%20110642.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.ejrad.2022.110642%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.ejrad.2022.110642%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Vertebral%20trabecular%20bone%20texture%20analysis%20in%20opportunistic%20MRI%20and%20CT%20scan%20can%20distinguish%20patients%20with%20and%20without%20osteoporotic%20vertebral%20fracture%3A%20A%20preliminary%20study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fran%5Cu00e7ois%22%2C%22lastName%22%3A%22Poullain%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pierre%22%2C%22lastName%22%3A%22Champsaur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vanessa%22%2C%22lastName%22%3A%22Pauly%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Knoepflin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Le%20Corroller%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maud%22%2C%22lastName%22%3A%22Creze%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martine%22%2C%22lastName%22%3A%22Pithioux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daphne%22%2C%22lastName%22%3A%22Guenoun%22%7D%5D%2C%22abstractNote%22%3A%22PURPOSE%3A%20To%20investigate%20the%20potential%20of%20texture%20parameters%20from%20opportunistic%20MRI%20and%20CT%20for%20the%20detection%20of%20patients%20with%20vertebral%20fragility%20fracture%2C%20to%20design%20a%20decision%20tree%20and%20to%20compute%20a%20Random%20Forest%20analysis%20for%20the%20prediction%20of%20fracture%20risk.%5CnMETHODS%3A%20One%20hundred%20and%20eighty%20vertebrae%20of%20sixty%20patients%20with%20at%20least%20one%20%2830%29%20or%20without%20%2830%29%20a%20fragility%20fracture%20were%20retrospectively%20assessed.%20Patients%20had%20a%20DXA%2C%20an%20MRI%20and%20a%20CT%20scan%20from%20the%20three%20first%20lumbar%20vertebrae.%20Vertebrae%20texture%20analysis%20was%20performed%20in%20routine%20abdominal%20or%20lumbar%20CT%20and%20lumbar%20MRI%20using%201st%20and%202nd%20order%20texture%20parameters.%20Hounsfield%20Unit%20Bone%20density%20%28HU%20BD%29%20was%20also%20measured%20on%20CT-scan%20images.%5CnRESULTS%3A%20Twelve%20texture%20parameters%2C%20Z-score%20and%20HU%20BD%20were%20significantly%20different%20between%20the%20two%20groups%20whereas%20T%20score%20and%20BMD%20were%20not.%20The%20inter%20observer%20reproducibility%20was%20good%20to%20excellent.%20Decision%20tree%20showed%20that%20age%20and%20HU%20BD%20were%20the%20most%20relevant%20factors%20to%20predict%20the%20fracture%20risk%20with%20a%2093%5Cu00a0%25%20sensitivity%20and%2056%5Cu00a0%25%20specificity.%20AUC%20was%200.91%20in%20MRI%20and%200.92%20in%20CT-scan%20using%20the%20Random%20Forest%20analysis.%20The%20corresponding%20sensitivity%20and%20specificity%20were%2072%5Cu00a0%25%20and%2093%5Cu00a0%25%20in%20MRI%20and%2083%20and%2089%5Cu00a0%25%20in%20CT.%5CnCONCLUSIONS%3A%20This%20study%20is%20the%20first%20to%20compare%20texture%20indices%20computed%20from%20opportunistic%20CT%20and%20MR%20images.%20Age%20and%20HU-BD%20together%20with%20selected%20texture%20parameters%20could%20be%20used%20to%20assess%20risk%20fracture.%20Machine%20learning%20algorithm%20can%20detect%20fracture%20risk%20in%20opportunistic%20CT%20and%20MR%20imaging%20and%20might%20be%20of%20high%20interest%20for%20the%20diagnosis%20of%20osteoporosis.%22%2C%22date%22%3A%222022-12-06%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.ejrad.2022.110642%22%2C%22ISSN%22%3A%221872-7727%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-10-29T10%3A45%3A26Z%22%7D%7D%2C%7B%22key%22%3A%22PGE49PFJ%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Heskamp%20et%20al.%22%2C%22parsedDate%22%3A%222022-12-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHeskamp%2C%20L.%2C%20Ogier%2C%20A.%2C%20Bendahan%2C%20D.%20and%20Heerschap%2C%20A.%20%282022%29%20%26%23x2018%3BWhole-muscle%20fat%20analysis%20identifies%20distal%20muscle%20end%20as%20disease%20initiation%20site%20in%20facioscapulohumeral%20muscular%20dystrophy%26%23x2019%3B%2C%20%3Ci%3ECommunications%20Medicine%3C%5C%2Fi%3E%2C%202%281%29%2C%20p.%20155.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs43856-022-00217-1%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs43856-022-00217-1%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Whole-muscle%20fat%20analysis%20identifies%20distal%20muscle%20end%20as%20disease%20initiation%20site%20in%20facioscapulohumeral%20muscular%20dystrophy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Linda%22%2C%22lastName%22%3A%22Heskamp%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arend%22%2C%22lastName%22%3A%22Heerschap%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Facioscapulohumeral%20dystrophy%20%28FSHD%29%20is%20a%20major%20muscular%20dystrophy%20characterized%20by%20asymmetric%20fatty%20replacement%20of%20muscles.%20We%20aimed%20to%20determine%20the%20initiation%20site%20and%20progression%20profile%20of%20the%20disease%20in%20lower%20extremity%20muscles%20of%20FSHD%20patients%20by%20assessing%20fat%20infiltration%20along%20their%20full%20proximo-distal%20axis%20using%20quantitative%20MRI.%5CnMETHODS%3A%20Nine%20patients%20underwent%20MRI%20of%20lower%20extremities%20to%20assess%20end-to-end%20muscle%20fat%20fractions%20%28FFs%29%20and%20inflammatory%20lesions.%20Seven%20patients%20underwent%20the%20same%20MRI%20~3.5%20years%20later.%20Individual%20muscles%20%28n%5Cu2009%3D%5Cu2009396%29%20were%20semi-automatically%20segmented%20to%20calculate%20average%20FFs%20over%20all%20slices%20covering%20whole%20muscles.%20To%20assess%20disease%20progression%20we%20determined%20FF%20changes%20in%205%20adjacent%20muscle%20segments.%5CnRESULTS%3A%20We%20provide%20evidence%20that%20fat%20replacement%20commonly%20starts%20at%20the%20distal%20end%20of%20affected%20muscles%20where%20the%20highest%20FFs%20occur%20%28p%5Cu2009%3C%5Cu20090.001%29.%20It%20progresses%20in%20a%20wave-like%20manner%20in%20the%20proximal%20direction%20at%20an%20increasing%20rate%20with%20the%20highest%20value%20%284.9%5Cu2009%5Cu00b1%5Cu20092.7%25%5C%2Fyear%29%20for%20muscles%20with%20baseline%20FFs%20of%2030-40%25.%20Thereafter%20it%20proceeds%20at%20a%20slower%20pace%20towards%20the%20proximal%20muscle%20end.%20In%20early%20phases%20of%20disease%2C%20inflammatory%20lesions%20preferentially%20occur%20at%20the%20distal%20muscle%20end.%20Compared%20with%20whole-muscle%20analysis%2C%20the%20common%20FF%20assessments%20using%20only%20few%20MR%20slices%20centrally%20placed%20in%20muscles%20are%20significantly%20biased%20%28~50%25%20in%20progression%20rate%29.%5CnCONCLUSIONS%3A%20These%20findings%20identify%20the%20distal%20end%20of%20leg%20muscles%20as%20a%20prime%20location%20for%20disease%20initiation%20in%20FSHD%20and%20demonstrate%20a%20wave-like%20progression%20towards%20the%20proximal%20end%2C%20consistent%20with%20proposed%20disease%20mechanisms.%20End-to-end%20whole-muscle%20fat%20assessment%20is%20essential%20to%20properly%20diagnose%20FSHD%20and%20its%20progression.%22%2C%22date%22%3A%222022-12-01%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1038%5C%2Fs43856-022-00217-1%22%2C%22ISSN%22%3A%222730-664X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%2248SZ2I24%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A34Z%22%7D%7D%2C%7B%22key%22%3A%22JSQ95LK6%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Knoepflin%20et%20al.%22%2C%22parsedDate%22%3A%222022-12%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKnoepflin%2C%20P.%2C%20Pithioux%2C%20M.%2C%20Bendahan%2C%20D.%2C%20Poullain%2C%20F.%2C%20Le%20Corroller%2C%20T.%2C%20Fabre%2C%20C.%2C%20Pauly%2C%20V.%2C%20Creze%2C%20M.%2C%20Soldati%2C%20E.%2C%20Champsaur%2C%20P.%20and%20Guenoun%2C%20D.%20%282022%29%20%26%23x2018%3BTexture%20Parameters%20Measured%20by%20UHF-MRI%20and%20CT%20Scan%20Provide%20Information%20on%20Bone%20Quality%20in%20Addition%20to%20BMD%3A%20A%20Biomechanical%20Ex%20Vivo%20Study%26%23x2019%3B%2C%20%3Ci%3EDiagnostics%3C%5C%2Fi%3E%2C%2012%2812%29%2C%20p.%203143.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fdiagnostics12123143%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fdiagnostics12123143%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Texture%20Parameters%20Measured%20by%20UHF-MRI%20and%20CT%20Scan%20Provide%20Information%20on%20Bone%20Quality%20in%20Addition%20to%20BMD%3A%20A%20Biomechanical%20Ex%20Vivo%20Study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Knoepflin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martine%22%2C%22lastName%22%3A%22Pithioux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fran%5Cu00e7ois%22%2C%22lastName%22%3A%22Poullain%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Le%20Corroller%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cyprien%22%2C%22lastName%22%3A%22Fabre%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vanessa%22%2C%22lastName%22%3A%22Pauly%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maud%22%2C%22lastName%22%3A%22Creze%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Enrico%22%2C%22lastName%22%3A%22Soldati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pierre%22%2C%22lastName%22%3A%22Champsaur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daphne%22%2C%22lastName%22%3A%22Guenoun%22%7D%5D%2C%22abstractNote%22%3A%22The%20current%20definition%20of%20osteoporosis%20includes%20alteration%20of%20bone%20quality.%20The%20assessment%20of%20bone%20quality%20is%20improved%20by%20the%20development%20of%20new%20texture%20analysis%20softwares.%20Our%20objectives%20were%20to%20assess%20if%20proximal%20femoral%20trabecular%20bone%20texture%20measured%20in%20Ultra%20high%20field%20%28UHF%29%207%20Tesla%20MRI%20and%20CT%20scan%20were%20related%20to%20biomechanical%20parameters%2C%20and%20if%20the%20combination%20of%20texture%20parameters%20and%20areal%20bone%20mineral%20density%20%28aBMD%29%20measured%20by%20dual-energy%20X-ray%20absorptiometry%20provided%20a%20better%20prediction%20of%20femoral%20failure%20than%20aBMD%20alone.%20The%20aBMD%20of%2016%20proximal%20femur%20ends%20from%20eight%20cadavers%20were%20investigated.%20Nineteen%20textural%20parameters%20were%20computed%20in%20three%20regions%20or%20volumes%20of%20interest%20for%20each%20specimen%20on%20UHF%20MRI%20and%20CT%20scan.%20Then%2C%20the%20corresponding%20failure%20load%20and%20failure%20stress%20were%20calculated%20thanks%20to%20mechanical%20compression%20test.%20aBMD%20was%20not%20correlated%20to%20failure%20load%20%28R2%20%3D%200.206%29%20and%20stress%20%28R2%20%3D%200.153%29.%20The%20failure%20load%20was%20significantly%20correlated%20with%20ten%20parameters%20in%20the%20greater%20trochanter%20using%20UHF%20MRI%2C%20and%20with%20one%20parameter%20in%20the%20neck%20and%20the%20greater%20trochanter%20using%20CT%20scan.%20Eight%20parameters%20in%20the%20greater%20trochanter%20using%20UHF%20MRI%20combined%20with%20aBMD%20improved%20the%20failure%20load%20prediction%2C%20and%20seven%20parameters%20improved%20the%20failure%20stress%20prediction.%20Our%20results%20suggest%20that%20textural%20parameters%20provide%20additional%20information%20on%20the%20fracture%20risk%20of%20the%20proximal%20femur%20when%20aBMD%20is%20not%20contributive.%22%2C%22date%22%3A%222022%5C%2F12%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fdiagnostics12123143%22%2C%22ISSN%22%3A%222075-4418%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2075-4418%5C%2F12%5C%2F12%5C%2F3143%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-03-06T09%3A38%3A46Z%22%7D%7D%2C%7B%22key%22%3A%22HS6XZS5I%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Soldati%20et%20al.%22%2C%22parsedDate%22%3A%222022-11-14%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ESoldati%2C%20E.%2C%20Roseren%2C%20F.%2C%20Guenoun%2C%20D.%2C%20Mancini%2C%20L.%2C%20Catelli%2C%20E.%2C%20Prati%2C%20S.%2C%20Sciutto%2C%20G.%2C%20Vicente%2C%20J.%2C%20Iotti%2C%20S.%2C%20Bendahan%2C%20D.%2C%20Malucelli%2C%20E.%20and%20Pithioux%2C%20M.%20%282022%29%20%26%23x2018%3BMultiscale%20Femoral%20Neck%20Imaging%20and%20Multimodal%20Trabeculae%20Quality%20Characterization%20in%20an%20Osteoporotic%20Bone%20Sample%26%23x2019%3B%2C%20%3Ci%3EMaterials%20%28Basel%2C%20Switzerland%29%3C%5C%2Fi%3E%2C%2015%2822%29%2C%20p.%208048.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fma15228048%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fma15228048%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Multiscale%20Femoral%20Neck%20Imaging%20and%20Multimodal%20Trabeculae%20Quality%20Characterization%20in%20an%20Osteoporotic%20Bone%20Sample%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Enrico%22%2C%22lastName%22%3A%22Soldati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Flavy%22%2C%22lastName%22%3A%22Roseren%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daphne%22%2C%22lastName%22%3A%22Guenoun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lucia%22%2C%22lastName%22%3A%22Mancini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emilio%22%2C%22lastName%22%3A%22Catelli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Silvia%22%2C%22lastName%22%3A%22Prati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Giorgia%22%2C%22lastName%22%3A%22Sciutto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jerome%22%2C%22lastName%22%3A%22Vicente%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefano%22%2C%22lastName%22%3A%22Iotti%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emil%22%2C%22lastName%22%3A%22Malucelli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martine%22%2C%22lastName%22%3A%22Pithioux%22%7D%5D%2C%22abstractNote%22%3A%22Although%20multiple%20structural%2C%20mechanical%2C%20and%20molecular%20factors%20are%20definitely%20involved%20in%20osteoporosis%2C%20the%20assessment%20of%20subregional%20bone%20mineral%20density%20remains%20the%20most%20commonly%20used%20diagnostic%20index.%20In%20this%20study%2C%20we%20characterized%20bone%20quality%20in%20the%20femoral%20neck%20of%20one%20osteoporotic%20patients%20as%20compared%20to%20an%20age-matched%20control%20subject%2C%20and%20so%20used%20a%20multiscale%20and%20multimodal%20approach%20including%20X-ray%20computed%20microtomography%20at%20different%20spatial%20resolutions%20%28pixel%20size%3A%2051.0%2C%204.95%20and%200.9%20%5Cu00b5m%29%2C%20microindentation%20and%20Fourier%20transform%20infrared%20spectroscopy.%20Our%20results%20showed%20abnormalities%20in%20the%20osteocytes%20lacunae%20volume%20%28358.08%20%5Cu00b1%20165.00%20for%20the%20osteoporotic%20sample%20vs.%20287.10%20%5Cu00b1%20160.00%20for%20the%20control%29%2C%20whereas%20a%20statistical%20difference%20was%20found%20neither%20for%20shape%20nor%20for%20density.%20The%20osteoporotic%20femoral%20head%20and%20great%20trochanter%20reported%20reduced%20elastic%20modulus%20%28Es%29%20and%20hardness%20%28H%29%20compared%20to%20the%20control%20reference%20%28-48%25%20%28p%20%26lt%3B%200.0001%29%20and%20-34%25%20%28p%20%26lt%3B%200.0001%29%2C%20respectively%20for%20Es%20and%20H%20in%20the%20femoral%20head%20and%20-29%25%20%28p%20%26lt%3B%200.01%29%20and%20-22%25%20%28p%20%26lt%3B%200.05%29%2C%20respectively%20for%20Es%20and%20H%20in%20the%20great%20trochanter%29%2C%20whereas%20the%20corresponding%20values%20in%20the%20femoral%20neck%20were%20in%20the%20same%20range.%20The%20spectral%20analysis%20could%20distinguish%20neither%20subregional%20differences%20in%20the%20osteoporotic%20sample%20nor%20between%20the%20osteoporotic%20and%20healthy%20samples.%20Although%2C%20infrared%20spectroscopic%20measurements%20were%20comparable%20among%20subregions%2C%20and%20so%20regardless%20of%20the%20bone%20osteoporotic%20status%2C%20the%20trabecular%20mechanical%20properties%20were%20comparable%20only%20in%20the%20femoral%20neck.%20These%20results%20illustrate%20that%20bone%20remodeling%20in%20osteoporosis%20is%20a%20non-uniform%20process%20with%20different%20rates%20in%20different%20bone%20anatomical%20regions%2C%20hence%20showing%20the%20interest%20of%20a%20clear%20analysis%20of%20the%20bone%20microarchitecture%20in%20the%20case%20of%20patients%27%20osteoporotic%20evaluation.%22%2C%22date%22%3A%222022-11-14%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.3390%5C%2Fma15228048%22%2C%22ISSN%22%3A%221996-1944%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22GU2DNQEE%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Mayoly%20et%20al.%22%2C%22parsedDate%22%3A%222022-09-29%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMayoly%2C%20A.%2C%20Witters%2C%20M.%2C%20Jouve%2C%20E.%2C%20Bec%2C%20C.%2C%20Iniesta%2C%20A.%2C%20Kachouh%2C%20N.%2C%20Veran%2C%20J.%2C%20Grimaud%2C%20F.%2C%20Zavarro%2C%20A.C.%2C%20Fernandez%2C%20R.%2C%20Bendahan%2C%20D.%2C%20Giraudo%2C%20L.%2C%20Dumoulin%2C%20C.%2C%20Chagnaud%2C%20C.%2C%20Casanova%2C%20D.%2C%20Sabatier%2C%20F.%2C%20Legr%26%23xE9%3B%2C%20R.%2C%20Jaloux%2C%20C.%20and%20Magalon%2C%20J.%20%282022%29%20%26%23x2018%3BIntra%20Articular%20Injection%20of%20Autologous%20Microfat%20and%20Platelets-Rich%20Plasma%20in%20the%20Treatment%20of%20Wrist%20Osteoarthritis%3A%20A%20Pilot%20Study%26%23x2019%3B%2C%20%3Ci%3EJournal%20of%20Clinical%20Medicine%3C%5C%2Fi%3E%2C%2011%2819%29%2C%20p.%205786.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fjcm11195786%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fjcm11195786%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Intra%20Articular%20Injection%20of%20Autologous%20Microfat%20and%20Platelets-Rich%20Plasma%20in%20the%20Treatment%20of%20Wrist%20Osteoarthritis%3A%20A%20Pilot%20Study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alice%22%2C%22lastName%22%3A%22Mayoly%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marie%22%2C%22lastName%22%3A%22Witters%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elisabeth%22%2C%22lastName%22%3A%22Jouve%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%5Cu00e9cilia%22%2C%22lastName%22%3A%22Bec%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aur%5Cu00e9lie%22%2C%22lastName%22%3A%22Iniesta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Najib%22%2C%22lastName%22%3A%22Kachouh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julie%22%2C%22lastName%22%3A%22Veran%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fanny%22%2C%22lastName%22%3A%22Grimaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anouck%20Coulange%22%2C%22lastName%22%3A%22Zavarro%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R%5Cu00e9mi%22%2C%22lastName%22%3A%22Fernandez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laurent%22%2C%22lastName%22%3A%22Giraudo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chlo%5Cu00e9%22%2C%22lastName%22%3A%22Dumoulin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Chagnaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dominique%22%2C%22lastName%22%3A%22Casanova%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florence%22%2C%22lastName%22%3A%22Sabatier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R%5Cu00e9gis%22%2C%22lastName%22%3A%22Legr%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charlotte%22%2C%22lastName%22%3A%22Jaloux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%5Cu00e9r%5Cu00e9my%22%2C%22lastName%22%3A%22Magalon%22%7D%5D%2C%22abstractNote%22%3A%22No%20injection%20treatment%20has%20been%20proven%20to%20be%20effective%20in%20wrist%20osteoarthritis.%20When%20conservative%20measures%20fail%2C%20its%20management%20involves%20invasive%20surgery.%20Emergence%20of%20biotherapies%20based%20on%20adipose%20derived%20stem%20cells%20%28ADSC%29%20offers%20promising%20treatments%20for%20chondral%20degenerative%20diseases.%20Microfat%20%28MF%29%20and%20platelets-rich%20plasma%20%28PRP%29%20mixture%2C%20rich%20in%20growth%20factors%20and%20ADSC%20could%20be%20a%20minimally%20invasive%20injectable%20option%20in%20the%20treatment%20of%20wrist%20osteoarthritis.%20The%20aim%20of%20this%20uncontrolled%20prospective%20study%20was%20to%20evaluate%20the%20safety%20of%20a%204%20mL%20autologous%20MF-PRP%20intra-articular%20injection%2C%20performed%20under%20local%20anesthesia.%20The%20secondary%20purpose%20was%20to%20describe%20the%20clinical%20and%20MRI%20results%20at%2012%20months%20of%20follow-up.%20Patients%5Cu2019%20data%20collected%20were%3A%20occurrence%20of%20adverse%20effects%2C%20Visual%20analog%20scale%20%28VAS%29%2C%20Disabilities%20of%20the%20Arm%2C%20Shoulder%20and%20Hand%20score%20%28DASH%29%20and%20Patient-Rated%20Wrist%20Evaluation%20%28PRWE%29%20scores%2C%20wrist%20strength%2C%20wrist%20range%20of%20motion%20and%205-level%20satisfaction%20scale.%20No%20serious%20adverse%20event%20was%20recorded.%20A%20statistically%20significant%20decrease%20in%20pain%2C%20DASH%2C%20PRWE%20and%20force%20was%20observed%20at%20each%20follow-up.%20Our%20preliminary%20results%20suggest%20that%20intra-articular%20autologous%20MF%20and%20PRP%20injection%20may%20be%20a%20new%20therapeutic%20strategy%20for%20wrist%20osteoarthritis%20resistant%20to%20medical%20symptomatic%20treatment%20prior%20to%20surgical%20interventions.%22%2C%22date%22%3A%222022-09-29%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fjcm11195786%22%2C%22ISSN%22%3A%222077-0383%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2077-0383%5C%2F11%5C%2F19%5C%2F5786%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22H9RAVRWA%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meimoun%20et%20al.%22%2C%22parsedDate%22%3A%222022-09-02%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMeimoun%2C%20L.%2C%20Pecchi%2C%20%26%23xC9%3B.%2C%20Vilmen%2C%20C.%2C%20Bendahan%2C%20D.%20and%20Giannesini%2C%20B.%20%282022%29%20%26%23x2018%3BEffect%20of%20citrulline%20malate%20supplementation%20on%20muscle%20function%20and%20bioenergetics%20during%20short-term%20repeated%20bouts%20of%20fatiguing%20exercise%26%23x2019%3B%2C%20%3Ci%3EJournal%20of%20Sports%20Sciences%3C%5C%2Fi%3E%2C%2040%2817%29%2C%20pp.%201981%26%23x2013%3B1990.%20Available%20at%3A%20%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1080%5C%2F02640414.2022.2123527%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1080%5C%2F02640414.2022.2123527%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Effect%20of%20citrulline%20malate%20supplementation%20on%20muscle%20function%20and%20bioenergetics%20during%20short-term%20repeated%20bouts%20of%20fatiguing%20exercise%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laura%22%2C%22lastName%22%3A%22Meimoun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%5Cu00c9milie%22%2C%22lastName%22%3A%22Pecchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Vilmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Beno%5Cu00eet%22%2C%22lastName%22%3A%22Giannesini%22%7D%5D%2C%22abstractNote%22%3A%22Citrulline%20malate%20%28CM%29%20has%20been%20shown%20to%20improve%20muscle%20performance%20in%20healthy%20participants%20during%20a%20single%20exercise%20session.%20Yet%2C%20within%20the%20framework%20of%20exercises%20repeated%20at%20close%20time%20interval%2C%20the%20consequences%20of%20CM%20ingestion%20on%20mechanical%20performance%20are%20controversial%20and%20the%20bioenergetics%20side%20remains%20undocumented.%20The%20aim%20of%20this%20double-blind%20placebo-controlled%20study%20was%20to%20evaluate%20in%20vivo%20the%20effect%20of%20short-term%20%287%20doses%20in%2048%20h%29%20oral%20administration%20of%20CM%20upon%20gastrocnemius%20muscle%20function%20and%20bioenergetics%20using%20non-invasive%20multimodal%20NMR%20techniques%20in%20healthy%20rats.%20The%20experimental%20protocol%20consisted%20of%20two%206-min%20bouts%20of%20fatiguing%20exercise%20spaced%20by%20an%208-min%20recovery%20period.%20CM%20treatment%20did%20not%20affect%20the%20basal%20bioenergetics%20status%20and%20increased%20the%20half-fatigue%20time%20during%20the%20first%20exercise%20bout.%20With%20exercise%20repetition%2C%20it%20prevented%20PCr%20cost%20alteration%20and%20decreased%20both%20the%20glycolytic%20ATP%20production%20and%20the%20contractile%20ATP%20cost%20in%20working%20muscle%2C%20but%20these%20changes%20were%20not%20associated%20to%20any%20improvement%20in%20mechanical%20performance.%20In%20addition%2C%20CM%20did%20not%20influence%20the%20replenishment%20of%20high-energy%20phosphorylated%20compounds%20during%20the%20post-exercise%20recovery%20periods.%20Therefore%2C%20short-term%20CM%20administration%20enhances%20muscle%20bioenergetics%20throughout%20fatiguing%20bouts%20of%20exercise%20repeated%20at%20close%20time%20interval%20but%20this%20enhancement%20does%20not%20benefit%20to%20mechanical%20performance.%22%2C%22date%22%3A%222022-09-02%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1080%5C%2F02640414.2022.2123527%22%2C%22ISSN%22%3A%220264-0414%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1080%5C%2F02640414.2022.2123527%22%2C%22collections%22%3A%5B%227FK4UDH9%22%2C%22NW6SZQBR%22%2C%226DHTGFMA%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22CUDJ6CSH%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Amer%20et%20al.%22%2C%22parsedDate%22%3A%222022-07-14%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAmer%2C%20R.%2C%20Nassar%2C%20J.%2C%20Trabelsi%2C%20A.%2C%20Bendahan%2C%20D.%2C%20Greenspan%2C%20H.%20and%20Ben-Eliezer%2C%20N.%20%282022%29%20%26%23x2018%3BQuantification%20of%20Intra-Muscular%20Adipose%20Infiltration%20in%20Calf%5C%2FThigh%20MRI%20Using%20Fully%20and%20Weakly%20Supervised%20Semantic%20Segmentation%26%23x2019%3B%2C%20%3Ci%3EBioengineering%3C%5C%2Fi%3E%2C%209%287%29%2C%20p.%20315.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fbioengineering9070315%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fbioengineering9070315%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantification%20of%20Intra-Muscular%20Adipose%20Infiltration%20in%20Calf%5C%2FThigh%20MRI%20Using%20Fully%20and%20Weakly%20Supervised%20Semantic%20Segmentation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rula%22%2C%22lastName%22%3A%22Amer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jannette%22%2C%22lastName%22%3A%22Nassar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amira%22%2C%22lastName%22%3A%22Trabelsi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hayit%22%2C%22lastName%22%3A%22Greenspan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Noam%22%2C%22lastName%22%3A%22Ben-Eliezer%22%7D%5D%2C%22abstractNote%22%3A%22Purpose%3A%20Infiltration%20of%20fat%20into%20lower%20limb%20muscles%20is%20one%20of%20the%20key%20markers%20for%20the%20severity%20of%20muscle%20pathologies.%20The%20level%20of%20fat%20infiltration%20varies%20in%20its%20severity%20across%20and%20within%20patients%2C%20and%20it%20is%20traditionally%20estimated%20using%20visual%20radiologic%20inspection.%20Precise%20quantification%20of%20the%20severity%20and%20spatial%20distribution%20of%20this%20pathological%20process%20requires%20accurate%20segmentation%20of%20lower%20limb%20anatomy%20into%20muscle%20and%20fat.%20Methods%3A%20Quantitative%20magnetic%20resonance%20imaging%20%28qMRI%29%20of%20the%20calf%20and%20thigh%20muscles%20is%20one%20of%20the%20most%20effective%20techniques%20for%20estimating%20pathological%20accumulation%20of%20intra-muscular%20adipose%20tissue%20%28IMAT%29%20in%20muscular%20dystrophies.%20In%20this%20work%2C%20we%20present%20a%20new%20deep%20learning%20%28DL%29%20network%20tool%20for%20automated%20and%20robust%20segmentation%20of%20lower%20limb%20anatomy%20that%20is%20based%20on%20the%20quantification%20of%20MRI%5Cu2019s%20transverse%20%28T2%29%20relaxation%20time.%20The%20network%20was%20used%20to%20segment%20calf%20and%20thigh%20anatomies%20into%20viable%20muscle%20areas%20and%20IMAT%20using%20a%20weakly%20supervised%20learning%20process.%20A%20new%20disease%20biomarker%20was%20calculated%2C%20reflecting%20the%20level%20of%20abnormal%20fat%20infiltration%20and%20disease%20state.%20A%20biomarker%20was%20then%20applied%20on%20two%20patient%20populations%20suffering%20from%20dysferlinopathy%20and%20Charcot%5Cu2013Marie%5Cu2013Tooth%20%28CMT%29%20diseases.%20Results%3A%20Comparison%20of%20manual%20vs.%20automated%20segmentation%20of%20muscle%20anatomy%2C%20viable%20muscle%20areas%2C%20and%20intermuscular%20adipose%20tissue%20%28IMAT%29%20produced%20high%20Dice%20similarity%20coefficients%20%28DSCs%29%20of%2096.4%25%2C%2091.7%25%2C%20and%2093.3%25%2C%20respectively.%20Linear%20regression%20between%20the%20biomarker%20value%20calculated%20based%20on%20the%20ground%20truth%20segmentation%20and%20based%20on%20automatic%20segmentation%20produced%20high%20correlation%20coefficients%20of%2097.7%25%20and%2095.9%25%20for%20the%20dysferlinopathy%20and%20CMT%20patients%2C%20respectively.%20Conclusions%3A%20Using%20a%20combination%20of%20qMRI%20and%20DL-based%20segmentation%2C%20we%20present%20a%20new%20quantitative%20biomarker%20of%20disease%20severity.%20This%20biomarker%20is%20automatically%20calculated%20and%2C%20most%20importantly%2C%20provides%20a%20spatially%20global%20indication%20for%20the%20state%20of%20the%20disease%20across%20the%20entire%20thigh%20or%20calf.%22%2C%22date%22%3A%222022-07-14%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fbioengineering9070315%22%2C%22ISSN%22%3A%222306-5354%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2306-5354%5C%2F9%5C%2F7%5C%2F315%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A42Z%22%7D%7D%2C%7B%22key%22%3A%22IR8Q9CLD%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Shpringer%20et%20al.%22%2C%22parsedDate%22%3A%222022-04%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EShpringer%2C%20G.%2C%20Bendahan%2C%20D.%20and%20Ben-Eliezer%2C%20N.%20%282022%29%20%26%23x2018%3BAccelerated%20reconstruction%20of%20dictionary-based%20T2%20relaxation%20maps%20based%20on%20dictionary%20compression%20and%20gradient%20descent%20search%20algorithms%26%23x2019%3B%2C%20%3Ci%3EMagnetic%20Resonance%20Imaging%3C%5C%2Fi%3E%2C%2087%2C%20pp.%2056%26%23x2013%3B66.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.mri.2021.12.006%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.mri.2021.12.006%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Accelerated%20reconstruction%20of%20dictionary-based%20T2%20relaxation%20maps%20based%20on%20dictionary%20compression%20and%20gradient%20descent%20search%20algorithms%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Guy%22%2C%22lastName%22%3A%22Shpringer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Noam%22%2C%22lastName%22%3A%22Ben-Eliezer%22%7D%5D%2C%22abstractNote%22%3A%22Background%20Quantitative%20T2-relaxation-based%20contrast%20maps%20have%20shown%20to%20be%20highly%20beneficial%20for%20clinical%20diagnosis%20and%20follow-up.%20The%20generation%20of%20quantitative%20maps%2C%20however%2C%20is%20impaired%20by%20long%20acquisition%20times%2C%20and%20time-consuming%20post-processing%20schemes.%20The%20EMC%20platform%20is%20a%20dictionary-based%20technique%2C%20which%20involves%20simulating%20theoretical%20signal%20curves%20for%20different%20physical%20and%20experimental%20values%2C%20followed%20by%20matching%20the%20experimentally%20acquired%20signals%20to%20the%20set%20simulated%20ones.%20Purpose%20Although%20the%20EMC%20technique%20has%20shown%20to%20produce%20accurate%20T2%20maps%2C%20it%20involves%20computationally%20intensive%20post-processing%20procedures.%20In%20this%20work%20we%20present%20an%20approach%20for%20accelerating%20the%20reconstruction%20of%20T2%20relaxation%20maps.%20Methods%20This%20work%20presents%20two%20alternative%20post-processing%20approaches%20for%20accelerating%20the%20reconstruction%20of%20EMC-based%20T2%20relaxation%20maps.%20These%20are%20%28a%29%20Dictionary%20compression%20using%20principal%20component%20analysis%20%28PCA%29%20and%20%28b%29%20gradient-descent%20search%20algorithm.%20Additional%20acceleration%20was%20achieved%20by%20finding%20the%20optimal%20MATLAB%20C%2B%2B%20compiler.%20The%20utility%20of%20the%20two%20suggested%20approaches%20was%20examined%20by%20calculating%20the%20relative%20error%2C%20produced%20by%20each%20technique.%20Results%20Gradient%20descent%20method%20was%20in%20perfect%20agreement%20with%20the%20ground%20truth%20exhaustive%20search%20matching%20process.%20PCA%20based%20acceleration%20produced%20root%20mean%20square%20error%20%28RMSE%29%20of%20up%20to%204%25%20compared%20to%20exhaustive%20matching%20process.%20Overall%20acceleration%20of%20x16%20was%20achieved%20using%20gradient%20descent%20in%20addition%20to%20x7%20acceleration%20by%20choosing%20the%20optimal%20MATLAB%20C%2B%2B%20compiler.%20Conclusions%20Postprocessing%20of%20EMC-based%20T2%20relaxation%20maps%20can%20be%20accelerated%20without%20impairing%20the%20accuracy%20of%20the%20ensuing%20T2%20values.%22%2C%22date%22%3A%222022-04%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.mri.2021.12.006%22%2C%22ISSN%22%3A%221873-5894%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A29Z%22%7D%7D%2C%7B%22key%22%3A%22YB2JI59E%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Jourdan%20et%20al.%22%2C%22parsedDate%22%3A%222022-01-29%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EJourdan%2C%20A.%2C%20Rapacchi%2C%20S.%2C%20Guye%2C%20M.%2C%20Bendahan%2C%20D.%2C%20Masson%2C%20C.%20and%20B%26%23xE8%3Bge%2C%20T.%20%282022%29%20%26%23x2018%3BDynamic-MRI%20quantification%20of%20abdominal%20wall%20motion%20and%20deformation%20during%20breathing%20and%20muscular%20contraction%26%23x2019%3B%2C%20%3Ci%3EComputer%20Methods%20and%20Programs%20in%20Biomedicine%3C%5C%2Fi%3E%2C%20217%2C%20p.%20106667.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.cmpb.2022.106667%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.cmpb.2022.106667%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Dynamic-MRI%20quantification%20of%20abdominal%20wall%20motion%20and%20deformation%20during%20breathing%20and%20muscular%20contraction%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arthur%22%2C%22lastName%22%3A%22Jourdan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanislas%22%2C%22lastName%22%3A%22Rapacchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Catherine%22%2C%22lastName%22%3A%22Masson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thierry%22%2C%22lastName%22%3A%22B%5Cu00e8ge%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%20AND%20OBJECTIVE%3A%20Biomechanical%20assessment%20of%20the%20abdominal%20wall%20represents%20a%20major%20prerequisite%20for%20a%20better%20understanding%20of%20physiological%20and%20pathological%20situations%20such%20as%20hernia%2C%20post-delivery%20recovery%2C%20muscle%20dystrophy%20or%20sarcopenia.%20Such%20an%20assessment%20is%20challenging%20and%20requires%20muscular%20deformations%20quantification%20which%20have%20been%20very%20scarcely%20reported%20in%20vivo.%20In%20the%20present%20study%2C%20we%20intended%20to%20characterize%20abdominal%20wall%20deformations%20in%20passive%20and%20active%20conditions%20using%20dynamic%20MRI%20combined%20to%20a%20semiautomatic%20segmentation%20procedure.%5CnMETHODS%3A%20Dynamic%20deformations%20resulting%20from%20three%20complementary%20exercises%20i.e.%20forced%20breathing%2C%20coughing%20and%20Valsalva%20maneuver%20were%20mapped%20in%20a%20transversal%20abdominal%20plane%20and%20so%20for%20twenty%20healthy%20volunteers.%20Real-time%20dynamic%20MRI%20series%20were%20acquired%20at%20a%20rate%20of%20182%5Cu00a0ms%20per%20image%2C%20then%20segmented%20semi-automatically%20to%20follow%20muscles%20deformation%20through%20each%20exercise.%20Circumferential%20and%20radial%20strains%20of%20each%20abdominal%20muscle%20were%20computed%20from%20the%20geometrical%20characteristics%27%20quantification%2C%20namely%20the%20medial%20axis%20length%20and%20the%20thickness.%20Muscular%20radial%20displacement%20maps%20were%20computed%20using%20image%20registration.%5CnRESULTS%3A%20Large%20variations%20in%20circumferential%20and%20radial%20strains%20were%20observed%20for%20the%20lateral%20muscles%20%28LM%29%20but%20remained%20low%20for%20the%20rectus%20abdominis%20muscles%20%28RA%29.%20Contraction%20phases%20of%20each%20exercise%20led%20to%20LM%20muscle%20shortening%20down%20to%20-9.6%5Cu00a0%5Cu00b1%5Cu00a05.9%25%20during%20Valsalva%20maneuver%20with%20a%2016.2%5Cu00a0%5Cu00b1%5Cu00a09.6%25%20thickness%20increase.%20Contraction%20also%20led%20to%20inward%20radial%20displacement%20of%20the%20LM%20up%20to%209.9%5Cu00a0%5Cu00b1%5Cu00a04.1%5Cu00a0mm%20during%20coughing.%20During%20maximal%20inhalation%2C%20a%20significant%2010.0%5Cu00a0%5Cu00b1%5Cu00a06.6%25%20lengthening%20was%20quantified%20for%20LM%20while%20a%20significant%20thickness%20decrease%20was%20computed%20for%20the%20whole%20set%20of%20muscles%20%28-14.7%5Cu00a0%5Cu00b1%5Cu00a06.6%25%20for%20LM%20and%20-7.3%5Cu00a0%5Cu00b1%5Cu00a06.5%25%20for%20RA%29.%20The%20largest%20displacement%20was%20observed%20for%20the%20medial%20part%20of%20RA%20%2817.9%5Cu00a0%5Cu00b1%5Cu00a08.0%5Cu00a0mm%29%20whereas%20the%20posterior%20part%20of%20LM%20underwent%20limited%20motion%20%282.8%5Cu00a0%5Cu00b1%5Cu00a02.3%5Cu00a0mm%29.%20Displacement%20rate%20and%20correlation%20between%20muscle%20thickness%20and%20medial%20axis%20length%20during%20each%20exercise%20provided%20insights%20regarding%20subject-specific%20muscle%20function.%5CnCONCLUSIONS%3A%20Dynamic%20MRI%20is%20a%20promising%20tool%20for%20the%20assessment%20of%20the%20abdominal%20wall%20motion%20and%20deformations.%20The%20corresponding%20metrics%20which%20have%20been%20continuously%20recorded%20during%20the%20exercises%20provided%20global%20and%20regional%20quantitative%20information.%20These%20metrics%20offer%20perspectives%20for%20a%20genuine%20clinical%20evaluation%20tool%20dedicated%20to%20the%20assessment%20of%20abdominal%20muscles%20function%20in%20both%20healthy%20subjects%20and%20patients.%22%2C%22date%22%3A%222022-01-29%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.cmpb.2022.106667%22%2C%22ISSN%22%3A%221872-7565%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22KFZ6H27M%22%2C%22SK6VWU7K%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-07-26T08%3A15%3A04Z%22%7D%7D%2C%7B%22key%22%3A%22K7XR38KN%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Trojani%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ETrojani%2C%20M.-C.%2C%20Chorin%2C%20F.%2C%20Gerus%2C%20P.%2C%20Breuil%2C%20V.%2C%20Michel%2C%20C.%2C%20Guis%2C%20S.%2C%20Bendahan%2C%20D.%20and%20Roux%2C%20C.%20%282022%29%20%26%23x2018%3BConcentric%20or%20eccentric%20physical%20activity%20for%20patients%20with%20symptomatic%20osteoarthritis%20of%20the%20knee%3A%20a%20randomized%20prospective%20study%26%23x2019%3B%2C%20%3Ci%3ETherapeutic%20Advances%20in%20Musculoskeletal%20Disease%3C%5C%2Fi%3E%2C%2014%2C%20p.%201759720X221102805.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1177%5C%2F1759720X221102805%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1177%5C%2F1759720X221102805%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Concentric%20or%20eccentric%20physical%20activity%20for%20patients%20with%20symptomatic%20osteoarthritis%20of%20the%20knee%3A%20a%20randomized%20prospective%20study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marie-Charlotte%22%2C%22lastName%22%3A%22Trojani%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fr%5Cu00e9deric%22%2C%22lastName%22%3A%22Chorin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pauline%22%2C%22lastName%22%3A%22Gerus%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22V%5Cu00e9ronique%22%2C%22lastName%22%3A%22Breuil%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sandrine%22%2C%22lastName%22%3A%22Guis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christian%22%2C%22lastName%22%3A%22Roux%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Knee%20osteoarthritis-related%20pain%20limits%20physical%20function%20and%20leads%20to%20functional%20disability.%20Physical%20activity%20is%20one%20of%20the%20central%20recommendations%20for%20the%20management%20of%20knee%20osteoarthritis.%20Although%20concentric%20muscle%20activities%20are%20often%20preferred%20to%20eccentric%20ones%2C%20the%20corresponding%20rationale%20remains%20controversial.%5CnOBJECTIVE%3A%20To%20explore%20the%20effect%20of%20a%206-week%20exercise%20program%20on%20function%2C%20pain%2C%20and%20performance%20in%20patients%20with%20symptomatic%20knee%20osteoarthritis.%5CnMETHODS%3A%20Patients%20with%20symptomatic%20knee%20osteoarthritis%20were%20included%20in%20the%20prospective%20EX-ART%20project%20%28Walking%20performance%20in%20osteoARThritic%20subjects%3A%20effect%20of%20an%20ECCentric%20muscle%20strengthening%20program%29%20and%20randomized%20in%20a%206-week%20rehabilitation%20program%20including%20either%20eccentric%20or%20concentric%20activities.%20Metrics%20of%20interest%20chosen%20as%20end%20points%20measured%20before%20and%20after%20the%20rehabilitation%20were%20WOMAC%20score%2C%20pain%2C%20and%20muscular%20performance%20%28quadriceps%20power%20PMAX%20and%20contraction%20strength%20MMAX%29.%20MRI%20was%20also%20used%20to%20assess%20muscle%20volume%20and%20fat%20infiltration%20changes.%5CnRESULTS%3A%2030%20patients%20were%20included%20in%20each%20group%3B%20mean%20age%20was%2074%20%28%5Cu00b17.6%29%3B%2069%25%20were%20women.%20At%20week%206%2C%20both%20groups%20showed%20a%20significant%20improvement%20in%20the%20WOMAC%20without%20difference%20between%20the%20two%20groups%20%28p%5Cu2009%3D%5Cu20090.7%29.%20No%20difference%20between%20the%20two%20groups%20was%20identified%20for%20the%20pain%20reduction%20%28p%5Cu2009%3D%5Cu20090.7%29.%20A%20significant%20improvement%20in%20the%20change%20in%20PMAX%20and%20MMAX%20at%20high%20velocity%20%28p%5Cu2009%3D%5Cu20090.001%20and%20p%5Cu2009%3D%5Cu20090.002%29%20was%20observed%20in%20the%20eccentric%20group%20only.%20A%20vastus%20medialis%20hypertrophy%20was%20quantified%20in%20the%20eccentric%20group%20only%20%28p%5Cu2009%3D%5Cu20090.002%29%2C%20whereas%20fat%20infiltration%20in%20the%20quadriceps%20muscles%20was%20unchanged.%5CnCONCLUSION%3A%20Physical%20activity%2C%20whether%20eccentric%20or%20concentric%2C%20has%20a%20benefit%20on%20function%20and%20pain%20in%20patients%20with%20symptomatic%20knee%20osteoarthritis.%20A%20few%20differences%20have%20been%20identified%20between%20the%20two%20types%20of%20rehabilitation.%20More%20particularly%2C%20a%20gain%20in%20muscle%20performance%20and%20vastus%20medialis%20volume%20was%20found%20with%20eccentric%20rehabilitation%20only.%5CnREGISTRATION%3A%20www.ClinicalTrials.gov%2C%20registration%20number%20NCT03167502.%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1177%5C%2F1759720X221102805%22%2C%22ISSN%22%3A%221759-720X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-10-29T10%3A45%3A25Z%22%7D%7D%2C%7B%22key%22%3A%22ZWKZEZH3%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Michel%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMichel%2C%20C.P.%2C%20Messonnier%2C%20L.A.%2C%20Giannesini%2C%20B.%2C%20Chatel%2C%20B.%2C%20Vilmen%2C%20C.%2C%20Le%20Fur%2C%20Y.%20and%20Bendahan%2C%20D.%20%282022%29%20%26%23x2018%3BEffects%20of%20Hydroxyurea%20on%20Skeletal%20Muscle%20Energetics%20and%20Function%20in%20a%20Mildly%20Anemic%20Mouse%20Model%26%23x2019%3B%2C%20%3Ci%3EFrontiers%20in%20Physiology%3C%5C%2Fi%3E%2C%2013%2C%20p.%20915640.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3389%5C%2Ffphys.2022.915640%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3389%5C%2Ffphys.2022.915640%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Effects%20of%20Hydroxyurea%20on%20Skeletal%20Muscle%20Energetics%20and%20Function%20in%20a%20Mildly%20Anemic%20Mouse%20Model%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laurent%20A.%22%2C%22lastName%22%3A%22Messonnier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Giannesini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Chatel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Vilmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%22%2C%22lastName%22%3A%22Le%20Fur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Hydroxyurea%20%28HU%29%20is%20a%20ribonucleotide%20reductase%20inhibitor%20most%20commonly%20used%20as%20a%20therapeutic%20agent%20in%20sickle%20cell%20disease%20%28SCD%29%20with%20the%20aim%20of%20reducing%20the%20risk%20of%20vaso-occlusion%20and%20improving%20oxygen%20transport%20to%20tissues.%20Previous%20studies%20suggest%20that%20HU%20may%20be%20even%20beneficial%20in%20mild%20anemia.%20However%2C%20the%20corresponding%20effects%20on%20skeletal%20muscle%20energetics%20and%20function%20have%20never%20been%20reported%20in%20such%20a%20mild%20anemia%20model.%20Seventeen%20mildly%20anemic%20HbAA%20Townes%20mice%20were%20subjected%20to%20a%20standardized%20rest-stimulation%20%28transcutaneous%20stimulation%29-protocol%20while%20muscle%20energetics%20using%2031Phosphorus%20magnetic%20resonance%20spectroscopy%20and%20muscle%20force%20production%20were%20assessed%20and%20recorded.%20Eight%20mice%20were%20supplemented%20with%20hydroxyurea%20%28HU%29%20for%206%20weeks%20while%209%20were%20not%20%28CON%29.%20HU%20mice%20displayed%20a%20higher%20specific%20total%20force%20production%20compared%20to%20the%20CON%2C%20with%20501.35%20%5Cu00b1%2054.12%5Cu00a0N%5C%2Fmm3%20and%20437.43%20%5Cu00b1%2057.10%5Cu00a0N%5C%2Fmm3%20respectively%20%28%2B14.6%25%2C%20p%20%3C%200.05%29.%20Neither%20the%20total%20rate%20of%20energy%20consumption%20nor%20the%20oxidative%20metabolic%20rate%20were%20significantly%20different%20between%20groups.%20The%20present%20results%20illustrated%20a%20positive%20effect%20of%20a%20HU%20chronic%20supplementation%20on%20skeletal%20muscle%20function%20in%20mice%20with%20mild%20anemia.%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.3389%5C%2Ffphys.2022.915640%22%2C%22ISSN%22%3A%221664-042X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22SVI8UJ6H%22%2C%227FK4UDH9%22%2C%22NW6SZQBR%22%2C%226DHTGFMA%22%2C%22HIWENPPK%22%2C%22ZP8JD3DQ%22%5D%2C%22dateModified%22%3A%222024-05-03T05%3A40%3A16Z%22%7D%7D%2C%7B%22key%22%3A%22UAZ9C9KH%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Brui%20et%20al.%22%2C%22parsedDate%22%3A%222021-12-01%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EBrui%2C%20E.A.%2C%20Rapacchi%2C%20S.%2C%20Bendahan%2C%20D.%20and%20Andreychenko%2C%20A.E.%20%282021%29%20%26%23x2018%3BComparative%20analysis%20of%20SINC-shaped%20and%20SLR%20pulses%20performance%20for%20contiguous%20multi-slice%20fast%20spin-echo%20imaging%20using%20metamaterial-based%20MRI%26%23x2019%3B%2C%20%3Ci%3EMagnetic%20Resonance%20Materials%20in%20Physics%2C%20Biology%20and%20Medicine%3C%5C%2Fi%3E%2C%2034%286%29%2C%20pp.%20929%26%23x2013%3B938.%20Available%20at%3A%20%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10334-021-00937-w%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10334-021-00937-w%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Comparative%20analysis%20of%20SINC-shaped%20and%20SLR%20pulses%20performance%20for%20contiguous%20multi-slice%20fast%20spin-echo%20imaging%20using%20metamaterial-based%20MRI%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ekaterina%20A.%22%2C%22lastName%22%3A%22Brui%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanislas%22%2C%22lastName%22%3A%22Rapacchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anna%20E.%22%2C%22lastName%22%3A%22Andreychenko%22%7D%5D%2C%22abstractNote%22%3A%22To%20comparatively%20assess%20the%20performance%20of%20highly%20selective%20pulses%20computed%20with%20the%20SLR%20algorithm%20in%20fast-spin%20echo%20%28FSE%29%20within%20the%20current%20radiofrequency%20safety%20limits%20using%20a%20metamaterial-based%20coil%20for%20wrist%20magnetic%20resonance%20imaging.%22%2C%22date%22%3A%222021-12-01%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1007%5C%2Fs10334-021-00937-w%22%2C%22ISSN%22%3A%221352-8661%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10334-021-00937-w%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22SK6VWU7K%22%5D%2C%22dateModified%22%3A%222024-01-08T12%3A31%3A53Z%22%7D%7D%2C%7B%22key%22%3A%22EFBC8KLH%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Park%20et%20al.%22%2C%22parsedDate%22%3A%222021-11-01%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPark%2C%20J.M.%2C%20Josan%2C%20S.%2C%20Hurd%2C%20R.E.%2C%20Graham%2C%20J.%2C%20Havel%2C%20P.J.%2C%20Bendahan%2C%20D.%2C%20Mayer%2C%20D.%2C%20Chung%2C%20Y.%2C%20Spielman%2C%20D.M.%20and%20Jue%2C%20T.%20%282021%29%20%26%23x2018%3BHyperpolarized%20NMR%20study%20of%20the%20impact%20of%20pyruvate%20dehydrogenase%20kinase%20inhibition%20on%20the%20pyruvate%20dehydrogenase%20and%20TCA%20flux%20in%20type%202%20diabetic%20rat%20muscle%26%23x2019%3B%2C%20%3Ci%3EPfl%26%23xFC%3Bgers%20Archiv%20-%20European%20Journal%20of%20Physiology%3C%5C%2Fi%3E%2C%20473%2811%29%2C%20pp.%201761%26%23x2013%3B1773.%20Available%20at%3A%20%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00424-021-02613-3%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00424-021-02613-3%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Hyperpolarized%20NMR%20study%20of%20the%20impact%20of%20pyruvate%20dehydrogenase%20kinase%20inhibition%20on%20the%20pyruvate%20dehydrogenase%20and%20TCA%20flux%20in%20type%202%20diabetic%20rat%20muscle%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jae%20Mo%22%2C%22lastName%22%3A%22Park%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sonal%22%2C%22lastName%22%3A%22Josan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ralph%20E.%22%2C%22lastName%22%3A%22Hurd%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22James%22%2C%22lastName%22%3A%22Graham%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%20J.%22%2C%22lastName%22%3A%22Havel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dirk%22%2C%22lastName%22%3A%22Mayer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Youngran%22%2C%22lastName%22%3A%22Chung%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20M.%22%2C%22lastName%22%3A%22Spielman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Jue%22%7D%5D%2C%22abstractNote%22%3A%22The%20role%20of%20pyruvate%20dehydrogenase%20in%20mediating%20lipid-induced%20insulin%20resistance%20stands%20as%20a%20central%20question%20in%20the%20pathogenesis%20of%20type%202%20diabetes%20mellitus.%20Many%20researchers%20have%20invoked%20the%20Randle%20hypothesis%20to%20explain%20the%20reduced%20glucose%20disposal%20in%20skeletal%20muscle%20by%20envisioning%20an%20elevated%20acetyl%20CoA%20pool%20arising%20from%20increased%20oxidation%20of%20fatty%20acids.%20Over%20the%20years%2C%20in%20vivo%20NMR%20studies%20have%20challenged%20that%20monolithic%20view.%20The%20advent%20of%20the%20dissolution%20dynamic%20nuclear%20polarization%20NMR%20technique%20and%20a%20unique%20type%202%20diabetic%20rat%20model%20provides%20an%20opportunity%20to%20clarify.%20Dynamic%20nuclear%20polarization%20enhances%20dramatically%20the%20NMR%20signal%20sensitivity%20and%20allows%20the%20measurement%20of%20metabolic%20kinetics%20in%20vivo.%20Diabetic%20muscle%20has%20much%20lower%20pyruvate%20dehydrogenase%20activity%20than%20control%20muscle%2C%20as%20evidenced%20in%20the%20conversion%20of%20%5B1-13C%5Dlactate%20and%20%5B2-13C%5Dpyruvate%20to%20HCO3%5Cu2212%20and%20acetyl%20carnitine.%20The%20pyruvate%20dehydrogenase%20kinase%20inhibitor%2C%20dichloroacetate%2C%20restores%20rapidly%20the%20diabetic%20pyruvate%20dehydrogenase%20activity%20to%20control%20level.%20However%2C%20diabetic%20muscle%20has%20a%20much%20larger%20dynamic%20change%20in%20pyruvate%20dehydrogenase%20flux%20than%20control.%20The%20dichloroacetate-induced%20surge%20in%20pyruvate%20dehydrogenase%20activity%20produces%20a%20differential%20amount%20of%20acetyl%20carnitine%20but%20does%20not%20affect%20the%20tricarboxylic%20acid%20flux.%20Further%20studies%20can%20now%20proceed%20with%20the%20dynamic%20nuclear%20polarization%20approach%20and%20a%20unique%20rat%20model%20to%20interrogate%20closely%20the%20biochemical%20mechanism%20interfacing%20oxidative%20metabolism%20with%20insulin%20resistance%20and%20metabolic%20inflexibility.%22%2C%22date%22%3A%222021-11-01%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1007%5C%2Fs00424-021-02613-3%22%2C%22ISSN%22%3A%221432-2013%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00424-021-02613-3%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-01-30T09%3A01%3A54Z%22%7D%7D%2C%7B%22key%22%3A%22JXRI5Y2H%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Chatel%20et%20al.%22%2C%22parsedDate%22%3A%222021-09-15%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EChatel%2C%20B.%2C%20Ducreux%2C%20S.%2C%20Harhous%2C%20Z.%2C%20Bendridi%2C%20N.%2C%20Varlet%2C%20I.%2C%20Ogier%2C%20A.C.%2C%20Bernard%2C%20M.%2C%20Gondin%2C%20J.%2C%20Rieusset%2C%20J.%2C%20Westerblad%2C%20H.%2C%20Bendahan%2C%20D.%20and%20Gineste%2C%20C.%20%282021%29%20%26%23x2018%3BImpaired%20aerobic%20capacity%20and%20premature%20fatigue%20preceding%20muscle%20weakness%20in%20the%20skeletal%20muscle%20Tfam-knockout%20mouse%20model%26%23x2019%3B%2C%20%3Ci%3EDisease%20Models%20%26amp%3B%20Mechanisms%3C%5C%2Fi%3E%2C%2014%289%29%2C%20p.%20dmm048981.%20Available%20at%3A%20%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1242%5C%2Fdmm.048981%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1242%5C%2Fdmm.048981%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Impaired%20aerobic%20capacity%20and%20premature%20fatigue%20preceding%20muscle%20weakness%20in%20the%20skeletal%20muscle%20Tfam-knockout%20mouse%20model%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Chatel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sylvie%22%2C%22lastName%22%3A%22Ducreux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Zeina%22%2C%22lastName%22%3A%22Harhous%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nadia%22%2C%22lastName%22%3A%22Bendridi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Isabelle%22%2C%22lastName%22%3A%22Varlet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Monique%22%2C%22lastName%22%3A%22Bernard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Gondin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jennifer%22%2C%22lastName%22%3A%22Rieusset%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H%5Cu00e5kan%22%2C%22lastName%22%3A%22Westerblad%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charlotte%22%2C%22lastName%22%3A%22Gineste%22%7D%5D%2C%22abstractNote%22%3A%22Mitochondrial%20diseases%20are%20genetic%20disorders%20that%20lead%20to%20impaired%20mitochondrial%20function%2C%20resulting%20in%20exercise%20intolerance%20and%20muscle%20weakness.%20In%20patients%2C%20muscle%20fatigue%20due%20to%20defects%20in%20mitochondrial%20oxidative%20capacities%20commonly%20precedes%20muscle%20weakness.%20In%20mice%2C%20deletion%20of%20the%20fast-twitch%20skeletal%20muscle-specific%20Tfam%20gene%20%28Tfam%20KO%29%20leads%20to%20a%20deficit%20in%20respiratory%20chain%20activity%2C%20severe%20muscle%20weakness%20and%20early%20death.%20Here%2C%20we%20performed%20a%20time-course%20study%20of%20mitochondrial%20and%20muscular%20dysfunctions%20in%2011-%20and%2014-week-old%20Tfam%20KO%20mice%2C%20i.e.%20before%20and%20when%20mice%20are%20about%20to%20enter%20the%20terminal%20stage%2C%20respectively.%20Although%20force%20in%20the%20unfatigued%20state%20was%20reduced%20in%20Tfam%20KO%20mice%20compared%20to%20control%20littermates%20%28wild%20type%29%20only%20at%2014%5Cu2005weeks%2C%20during%20repeated%20submaximal%20contractions%20fatigue%20was%20faster%20at%20both%20ages.%20During%20fatiguing%20stimulation%2C%20total%20phosphocreatine%20breakdown%20was%20larger%20in%20Tfam%20KO%20muscle%20than%20in%20wild-type%20muscle%20at%20both%20ages%2C%20whereas%20phosphocreatine%20consumption%20was%20faster%20only%20at%2014%5Cu2005weeks.%20In%20conclusion%2C%20the%20Tfam%20KO%20mouse%20model%20represents%20a%20reliable%20model%20of%20lethal%20mitochondrial%20myopathy%20in%20which%20impaired%20mitochondrial%20energy%20production%20and%20premature%20fatigue%20occur%20before%20muscle%20weakness%20and%20early%20death.%22%2C%22date%22%3A%222021-09-15%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1242%5C%2Fdmm.048981%22%2C%22ISSN%22%3A%221754-8403%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1242%5C%2Fdmm.048981%22%2C%22collections%22%3A%5B%225Z6CVJGB%22%2C%22NW6SZQBR%22%2C%228MP7SHDW%22%2C%22HIWENPPK%22%5D%2C%22dateModified%22%3A%222024-12-19T15%3A16%3A38Z%22%7D%7D%2C%7B%22key%22%3A%2256ZXMVDS%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Soldati%20et%20al.%22%2C%22parsedDate%22%3A%222021-09-02%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ESoldati%2C%20E.%2C%20Vicente%2C%20J.%2C%20Guenoun%2C%20D.%2C%20Bendahan%2C%20D.%20and%20Pithioux%2C%20M.%20%282021%29%20%26%23x2018%3BValidation%20and%20Optimization%20of%20Proximal%20Femurs%20Microstructure%20Analysis%20Using%20High%20Field%20and%20Ultra-High%20Field%20MRI%26%23x2019%3B%2C%20%3Ci%3EDiagnostics%20%28Basel%2C%20Switzerland%29%3C%5C%2Fi%3E%2C%2011%289%29%2C%20p.%201603.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fdiagnostics11091603%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fdiagnostics11091603%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Validation%20and%20Optimization%20of%20Proximal%20Femurs%20Microstructure%20Analysis%20Using%20High%20Field%20and%20Ultra-High%20Field%20MRI%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Enrico%22%2C%22lastName%22%3A%22Soldati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jerome%22%2C%22lastName%22%3A%22Vicente%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daphne%22%2C%22lastName%22%3A%22Guenoun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martine%22%2C%22lastName%22%3A%22Pithioux%22%7D%5D%2C%22abstractNote%22%3A%22Trabecular%20bone%20could%20be%20assessed%20non-invasively%20using%20MRI.%20However%2C%20MRI%20does%20not%20yet%20provide%20resolutions%20lower%20than%20trabecular%20thickness%20and%20a%20comparative%20analysis%20between%20different%20MRI%20sequences%20at%20different%20field%20strengths%20and%20X-ray%20microtomography%20%28%5Cu03bcCT%29%20is%20still%20missing.%20In%20this%20study%2C%20we%20compared%20bone%20microstructure%20parameters%20and%20bone%20mineral%20density%20%28BMD%29%20computed%20using%20various%20MRI%20approaches%2C%20i.e.%2C%20turbo%20spin%20echo%20%28TSE%29%20and%20gradient%20recalled%20echo%20%28GRE%29%20images%20used%20at%20different%20magnetic%20fields%2C%20i.e.%2C%207T%20and%203T.%20The%20corresponding%20parameters%20computed%20from%20%5Cu03bcCT%20images%20and%20BMD%20derived%20from%20dual-energy%20X-ray%20absorptiometry%20%28DXA%29%20were%20used%20as%20the%20ground%20truth.%20The%20correlation%20between%20morphological%20parameters%2C%20BMD%20and%20fracture%20load%20assessed%20by%20mechanical%20compression%20tests%20was%20evaluated.%20Histomorphometric%20parameters%20showed%20a%20good%20agreement%20between%207T%20TSE%20and%20%5Cu03bcCT%2C%20with%208%25%20error%20for%20trabecular%20thickness%20with%20no%20significative%20statistical%20difference%20and%20a%20good%20intraclass%20correlation%20coefficient%20%28ICC%20%3E%200.5%29%20for%20all%20the%20extrapolated%20parameters.%20No%20correlation%20was%20found%20between%20DXA-BMD%20and%20all%20morphological%20parameters%2C%20except%20for%20trabecular%20interconnectivity%20%28R2%20%3E%200.69%29.%20Good%20correlation%20%28p-value%20%3C%200.05%29%20was%20found%20between%20failure%20load%20and%20trabecular%20interconnectivity%20%28R2%20%3E%200.79%29.%20These%20results%20suggest%20that%20MRI%20could%20be%20of%20interest%20for%20bone%20microstructure%20assessment.%20Moreover%2C%20the%20combination%20of%20morphological%20parameters%20and%20BMD%20could%20provide%20a%20more%20comprehensive%20view%20of%20bone%20quality.%22%2C%22date%22%3A%222021-09-02%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.3390%5C%2Fdiagnostics11091603%22%2C%22ISSN%22%3A%222075-4418%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A44Z%22%7D%7D%2C%7B%22key%22%3A%225UCW932Q%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Fournel%20et%20al.%22%2C%22parsedDate%22%3A%222021-08-12%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EFournel%2C%20J.%2C%20Bartoli%2C%20A.%2C%20Bendahan%2C%20D.%2C%20Guye%2C%20M.%2C%20Bernard%2C%20M.%2C%20Rauseo%2C%20E.%2C%20Khanji%2C%20M.Y.%2C%20Petersen%2C%20S.E.%2C%20Jacquier%2C%20A.%20and%20Ghattas%2C%20B.%20%282021%29%20%26%23x2018%3BMedical%20image%20segmentation%20automatic%20quality%20control%3A%20A%20multi-dimensional%20approach%26%23x2019%3B%2C%20%3Ci%3EMedical%20Image%20Analysis%3C%5C%2Fi%3E%2C%2074%2C%20p.%20102213.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.media.2021.102213%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.media.2021.102213%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Medical%20image%20segmentation%20automatic%20quality%20control%3A%20A%20multi-dimensional%20approach%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joris%22%2C%22lastName%22%3A%22Fournel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Axel%22%2C%22lastName%22%3A%22Bartoli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Monique%22%2C%22lastName%22%3A%22Bernard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elisa%22%2C%22lastName%22%3A%22Rauseo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mohammed%20Y.%22%2C%22lastName%22%3A%22Khanji%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Steffen%20E.%22%2C%22lastName%22%3A%22Petersen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexis%22%2C%22lastName%22%3A%22Jacquier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Badih%22%2C%22lastName%22%3A%22Ghattas%22%7D%5D%2C%22abstractNote%22%3A%22In%20clinical%20applications%2C%20using%20erroneous%20segmentations%20of%20medical%20images%20can%20have%20dramatic%20consequences.%20Current%20approaches%20dedicated%20to%20medical%20image%20segmentation%20automatic%20quality%20control%20do%20not%20predict%20segmentation%20quality%20at%20slice-level%20%282D%29%2C%20resulting%20in%20sub-optimal%20evaluations.%20Our%202D-based%20deep%20learning%20method%20simultaneously%20performs%20quality%20control%20at%202D-level%20and%203D-level%20for%20cardiovascular%20MR%20image%20segmentations.%20We%20compared%20it%20with%203D%20approaches%20by%20training%20both%20on%2036%2C540%20%282D%29%20%5C%2F%203842%20%283D%29%20samples%20to%20predict%20Dice%20Similarity%20Coefficients%20%28DSC%29%20for%204%20different%20structures%20from%20the%20left%20ventricle%2C%20i.e.%2C%20trabeculations%20%28LVT%29%2C%20myocardium%20%28LVM%29%2C%20papillary%20muscles%20%28LVPM%29%20and%20blood%20%28LVC%29.%20The%202D-based%20method%20outperformed%20the%203D%20method.%20At%20the%202D-level%2C%20the%20mean%20absolute%20errors%20%28MAEs%29%20of%20the%20DSC%20predictions%20for%203823%20samples%2C%20were%200.02%2C%200.02%2C%200.05%20and%200.02%20for%20LVM%2C%20LVC%2C%20LVT%20and%20LVPM%2C%20respectively.%20At%20the%203D-level%2C%20for%20402%20samples%2C%20the%20corresponding%20MAEs%20were%200.02%2C%200.01%2C%200.02%20and%200.04.%20The%20method%20was%20validated%20in%20a%20clinical%20practice%20evaluation%20against%20semi-qualitative%20scores%20provided%20by%20expert%20cardiologists%20for%201016%20subjects%20of%20the%20UK%20BioBank.%20Finally%2C%20we%20provided%20evidence%20that%20a%20multi-level%20QC%20could%20be%20used%20to%20enhance%20clinical%20measurements%20derived%20from%20image%20segmentations.%22%2C%22date%22%3A%222021-08-12%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.media.2021.102213%22%2C%22ISSN%22%3A%221361-8423%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22KFZ6H27M%22%2C%22XTA6KS7L%22%2C%22CXAMISN8%22%5D%2C%22dateModified%22%3A%222024-06-14T08%3A30%3A15Z%22%7D%7D%2C%7B%22key%22%3A%22S5HVYWML%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22de%20Winter%20et%20al.%22%2C%22parsedDate%22%3A%222021-06-26%22%2C%22numChildren%22%3A4%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3Ede%20Winter%2C%20J.M.%2C%20Gineste%2C%20C.%2C%20Minardi%2C%20E.%2C%20Brocca%2C%20L.%2C%20Rossi%2C%20M.%2C%20Borsboom%2C%20T.%2C%20Beggs%2C%20A.H.%2C%20Bernard%2C%20M.%2C%20Bendahan%2C%20D.%2C%20Hwee%2C%20D.T.%2C%20Malik%2C%20F.I.%2C%20Pellegrino%2C%20M.A.%2C%20Bottinelli%2C%20R.%2C%20Gondin%2C%20J.%20and%20Ottenheijm%2C%20C.A.C.%20%282021%29%20%26%23x2018%3BAcute%20and%20chronic%20tirasemtiv%20treatment%20improves%20in%20vivo%20and%20in%20vitro%20muscle%20performance%20in%20actin-based%20nemaline%20myopathy%20mice%26%23x2019%3B%2C%20%3Ci%3EHuman%20Molecular%20Genetics%3C%5C%2Fi%3E%2C%2030%2814%29%2C%20pp.%201305%26%23x2013%3B1320.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Fhmg%5C%2Fddab112%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1093%5C%2Fhmg%5C%2Fddab112%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Acute%20and%20chronic%20tirasemtiv%20treatment%20improves%20in%20vivo%20and%20in%20vitro%20muscle%20performance%20in%20actin-based%20nemaline%20myopathy%20mice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Josine%20M.%22%2C%22lastName%22%3A%22de%20Winter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charlotte%22%2C%22lastName%22%3A%22Gineste%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Elisa%22%2C%22lastName%22%3A%22Minardi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lorenza%22%2C%22lastName%22%3A%22Brocca%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maira%22%2C%22lastName%22%3A%22Rossi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tamara%22%2C%22lastName%22%3A%22Borsboom%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alan%20H.%22%2C%22lastName%22%3A%22Beggs%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Monique%22%2C%22lastName%22%3A%22Bernard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Darren%20T.%22%2C%22lastName%22%3A%22Hwee%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fady%20I.%22%2C%22lastName%22%3A%22Malik%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maria%20Antonietta%22%2C%22lastName%22%3A%22Pellegrino%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roberto%22%2C%22lastName%22%3A%22Bottinelli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Gondin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Coen%20A.%20C.%22%2C%22lastName%22%3A%22Ottenheijm%22%7D%5D%2C%22abstractNote%22%3A%22Nemaline%20myopathy%2C%20a%20disease%20of%20the%20actin-based%20thin%20filament%2C%20is%20one%20of%20the%20most%20frequent%20congenital%20myopathies.%20To%20date%2C%20no%20specific%20therapy%20is%20available%20to%20treat%20muscle%20weakness%20in%20nemaline%20myopathy.%20We%20tested%20the%20ability%20of%20tirasemtiv%2C%20a%20fast%20skeletal%20troponin%20activator%20that%20targets%20the%20thin%20filament%2C%20to%20augment%20muscle%20force-both%20in%20vivo%20and%20in%20vitro-in%20a%20nemaline%20myopathy%20mouse%20model%20with%20a%20mutation%20%28H40Y%29%20in%20Acta1.%20In%20Acta1H40Y%20mice%2C%20treatment%20with%20tirasemtiv%20increased%20the%20force%20response%20of%20muscles%20to%20submaximal%20stimulation%20frequencies.%20This%20resulted%20in%20a%20reduced%20energetic%20cost%20of%20force%20generation%2C%20which%20increases%20the%20force%20production%20during%20a%20fatigue%20protocol.%20The%20inotropic%20effects%20of%20tirasemtiv%20were%20present%20in%20locomotor%20muscles%20and%2C%20albeit%20to%20a%20lesser%20extent%2C%20in%20respiratory%20muscles%2C%20and%20they%20persisted%20during%20chronic%20treatment%2C%20an%20important%20finding%20as%20respiratory%20failure%20is%20the%20main%20cause%20of%20death%20in%20patients%20with%20congenital%20myopathy.%20Finally%2C%20translational%20studies%20on%20permeabilized%20muscle%20fibers%20isolated%20from%20a%20biopsy%20of%20a%20patient%20with%20the%20ACTA1H40Y%20mutation%20revealed%20that%20at%20physiological%20Ca2%2B%20concentrations%2C%20tirasemtiv%20increased%20force%20generation%20to%20values%20that%20were%20close%20to%20those%20generated%20in%20muscle%20fibers%20of%20healthy%20subjects.%20These%20findings%20indicate%20the%20therapeutic%20potential%20of%20fast%20skeletal%20muscle%20troponin%20activators%20to%20improve%20muscle%20function%20in%20nemaline%20myopathy%20due%20to%20the%20ACTA1H40Y%20mutation%2C%20and%20future%20studies%20should%20assess%20their%20merit%20for%20other%20forms%20of%20nemaline%20myopathy%20and%20for%20other%20congenital%20myopathies.%22%2C%22date%22%3A%222021-06-26%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1093%5C%2Fhmg%5C%2Fddab112%22%2C%22ISSN%22%3A%221460-2083%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%226XQENTHJ%22%2C%225Z6CVJGB%22%2C%22NW6SZQBR%22%2C%228MP7SHDW%22%5D%2C%22dateModified%22%3A%222024-12-19T15%3A16%3A39Z%22%7D%7D%2C%7B%22key%22%3A%22TJ4D4BGH%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Soldati%20et%20al.%22%2C%22parsedDate%22%3A%222021-03-02%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ESoldati%2C%20E.%2C%20Rossi%2C%20F.%2C%20Vicente%2C%20J.%2C%20Guenoun%2C%20D.%2C%20Pithioux%2C%20M.%2C%20Iotti%2C%20S.%2C%20Malucelli%2C%20E.%20and%20Bendahan%2C%20D.%20%282021%29%20%26%23x2018%3BSurvey%20of%20MRI%20Usefulness%20for%20the%20Clinical%20Assessment%20of%20Bone%20Microstructure%26%23x2019%3B%2C%20%3Ci%3EInternational%20Journal%20of%20Molecular%20Sciences%3C%5C%2Fi%3E%2C%2022%285%29%2C%20p.%202509.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fijms22052509%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fijms22052509%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Survey%20of%20MRI%20Usefulness%20for%20the%20Clinical%20Assessment%20of%20Bone%20Microstructure%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Enrico%22%2C%22lastName%22%3A%22Soldati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Francesca%22%2C%22lastName%22%3A%22Rossi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jerome%22%2C%22lastName%22%3A%22Vicente%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daphne%22%2C%22lastName%22%3A%22Guenoun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martine%22%2C%22lastName%22%3A%22Pithioux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefano%22%2C%22lastName%22%3A%22Iotti%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emil%22%2C%22lastName%22%3A%22Malucelli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Bone%20microarchitecture%20has%20been%20shown%20to%20provide%20useful%20information%20regarding%20the%20evaluation%20of%20skeleton%20quality%20with%20an%20added%20value%20to%20areal%20bone%20mineral%20density%2C%20which%20can%20be%20used%20for%20the%20diagnosis%20of%20several%20bone%20diseases.%20Bone%20mineral%20density%20estimated%20from%20dual-energy%20X-ray%20absorptiometry%20%28DXA%29%20has%20shown%20to%20be%20a%20limited%20tool%20to%20identify%20patients%27%20risk%20stratification%20and%20therapy%20delivery.%20Magnetic%20resonance%20imaging%20%28MRI%29%20has%20been%20proposed%20as%20another%20technique%20to%20assess%20bone%20quality%20and%20fracture%20risk%20by%20evaluating%20the%20bone%20structure%20and%20microarchitecture.%20To%20date%2C%20MRI%20is%20the%20only%20completely%20non-invasive%20and%20non-ionizing%20imaging%20modality%20that%20can%20assess%20both%20cortical%20and%20trabecular%20bone%20in%20vivo.%20In%20this%20review%20article%2C%20we%20reported%20a%20survey%20regarding%20the%20clinically%20relevant%20information%20MRI%20could%20provide%20for%20the%20assessment%20of%20the%20inner%20trabecular%20morphology%20of%20different%20bone%20segments.%20The%20last%20section%20will%20be%20devoted%20to%20the%20upcoming%20MRI%20applications%20%28MR%20spectroscopy%20and%20chemical%20shift%20encoding%20MRI%2C%20solid%20state%20MRI%20and%20quantitative%20susceptibility%20mapping%29%2C%20which%20could%20provide%20additional%20biomarkers%20for%20the%20assessment%20of%20bone%20microarchitecture.%22%2C%22date%22%3A%222021-03-02%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.3390%5C%2Fijms22052509%22%2C%22ISSN%22%3A%221422-0067%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22IK9SV2R9%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Chatel%20et%20al.%22%2C%22parsedDate%22%3A%222021-03-01%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EChatel%2C%20B.%2C%20Bernit%2C%20E.%2C%20Vilmen%2C%20C.%2C%20Michel%2C%20C.%2C%20Bendahan%2C%20D.%20and%20Messonnier%2C%20L.A.%20%282021%29%20%26%23x2018%3BIn%20vivo%20muscle%20function%20and%20energetics%20in%20women%20with%20sickle%20cell%20anemia%20or%20trait%3A%20a%2031P-magnetic%20resonance%20spectroscopy%20study%26%23x2019%3B%2C%20%3Ci%3EJournal%20of%20Applied%20Physiology%20%28Bethesda%2C%20Md.%3A%201985%29%3C%5C%2Fi%3E%2C%20130%283%29%2C%20pp.%20737%26%23x2013%3B745.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1152%5C%2Fjapplphysiol.00790.2020%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1152%5C%2Fjapplphysiol.00790.2020%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22In%20vivo%20muscle%20function%20and%20energetics%20in%20women%20with%20sickle%20cell%20anemia%20or%20trait%3A%20a%2031P-magnetic%20resonance%20spectroscopy%20study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Chatel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emmanuelle%22%2C%22lastName%22%3A%22Bernit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Vilmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laurent%20A.%22%2C%22lastName%22%3A%22Messonnier%22%7D%5D%2C%22abstractNote%22%3A%22Sickle%20cell%20anemia%20%28SCA%29%20is%20a%20genetic%20hemoglobinopathy%20associated%20with%20an%20impaired%20oxygen%20delivery%20to%20skeletal%20muscle%20that%20could%20alter%20ATP%20production%20processes%20and%20increase%20intramuscular%20acidosis.%20These%20alterations%20have%20been%20already%20reported%20in%20the%20Townes%20mouse%20model%20of%20SCA%20but%20the%20corresponding%20changes%20in%20humans%20have%20not%20been%20documented.%20In%20the%20present%20study%2C%20we%20used%2031-phosphorus%20magnetic%20resonance%20spectroscopy%20to%20investigate%20in%20vivo%20the%20metabolic%20changes%20induced%20by%20a%20moderate-intensity%20exercise%20in%20twelve%20SCA%20patients%2C%20eight%20sickle%20cell%20trait%20%28SCT%29%20carriers%2C%20and%20twelve%20controls%20women.%20The%20rest-exercise-recovery%20protocol%20disclosed%20slight%20differences%20regarding%20phosphocreatine%20%28PCr%29%20consumption%20and%20lactate%20accumulation%20between%20SCA%20patients%20and%20controls%20but%20these%20differences%20did%20not%20reach%20a%20statistical%20significance.%20On%20that%20basis%2C%20the%20in%20vivo%20metabolic%20changes%20associated%20with%20a%20moderate-intensity%20muscle%20exercise%20were%20slightly%20altered%20in%20SCA%20patients%20and%20SCT%20carriers%20but%20within%20a%20normal%20range.%20The%20present%20results%20strongly%20support%20the%20fact%20that%20a%20moderate-intensity%20exercise%20is%20safe%20and%20could%20be%20recommended%20in%20stable%20SCA%20patients%20and%20SCT%20subjects.NEW%20%26%20NOTEWORTHY%20The%20main%20finding%20of%20the%20present%20study%20was%20that%20the%20metabolic%20changes%20associated%20with%20a%20moderate-intensity%20muscle%20exercise%20were%20slightly%20modified%20in%20stable%20sickle%20cell%20anemia%20patients%20and%20sickle%20cell%20trait%20carriers%20as%20compared%20to%20controls%20but%20still%20in%20the%20normal%20range.%20The%20present%20results%20strongly%20support%20the%20safety%20of%20a%20moderate-intensity%20exercise%20for%20stable%20sickle%20cell%20anemia%20patients%20and%20sickle%20cell%20trait%20carriers.%22%2C%22date%22%3A%222021-03-01%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1152%5C%2Fjapplphysiol.00790.2020%22%2C%22ISSN%22%3A%221522-1601%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%227FK4UDH9%22%2C%22NW6SZQBR%22%2C%22HIWENPPK%22%2C%22ZP8JD3DQ%22%5D%2C%22dateModified%22%3A%222024-05-03T05%3A40%3A16Z%22%7D%7D%2C%7B%22key%22%3A%223F9KGBY3%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Secondulfo%20et%20al.%22%2C%22parsedDate%22%3A%222021-01%22%2C%22numChildren%22%3A4%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ESecondulfo%2C%20L.%2C%20Ogier%2C%20A.C.%2C%20Monte%2C%20J.R.%2C%20Aengevaeren%2C%20V.L.%2C%20Bendahan%2C%20D.%2C%20Nederveen%2C%20A.J.%2C%20Strijkers%2C%20G.J.%20and%20Hooijmans%2C%20M.T.%20%282021%29%20%26%23x2018%3BSupervised%20segmentation%20framework%20for%20evaluation%20of%20diffusion%20tensor%20imaging%20indices%20in%20skeletal%20muscle%26%23x2019%3B%2C%20%3Ci%3ENMR%20in%20biomedicine%3C%5C%2Fi%3E%2C%2034%281%29%2C%20p.%20e4406.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4406%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4406%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Supervised%20segmentation%20framework%20for%20evaluation%20of%20diffusion%20tensor%20imaging%20indices%20in%20skeletal%20muscle%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laura%22%2C%22lastName%22%3A%22Secondulfo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jithsa%20R.%22%2C%22lastName%22%3A%22Monte%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vincent%20L.%22%2C%22lastName%22%3A%22Aengevaeren%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aart%20J.%22%2C%22lastName%22%3A%22Nederveen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gustav%20J.%22%2C%22lastName%22%3A%22Strijkers%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Melissa%20T.%22%2C%22lastName%22%3A%22Hooijmans%22%7D%5D%2C%22abstractNote%22%3A%22Diffusion%20tensor%20imaging%20%28DTI%29%20is%20becoming%20a%20relevant%20diagnostic%20tool%20to%20understand%20muscle%20disease%20and%20map%20muscle%20recovery%20processes%20following%20physical%20activity%20or%20after%20injury.%20Segmenting%20all%20the%20individual%20leg%20muscles%2C%20necessary%20for%20quantification%2C%20is%20still%20a%20time-consuming%20manual%20process.%20The%20purpose%20of%20this%20study%20was%20to%20evaluate%20the%20impact%20of%20a%20supervised%20semi-automatic%20segmentation%20pipeline%20on%20the%20quantification%20of%20DTI%20indices%20in%20individual%20upper%20leg%20muscles.%20Longitudinally%20acquired%20MRI%20datasets%20%28baseline%2C%20post-marathon%20and%20follow-up%29%20of%20the%20upper%20legs%20of%2011%20subjects%20were%20used%20in%20this%20study.%20MR%20datasets%20consisted%20of%20a%20DTI%20and%20Dixon%20acquisition.%20Semi-automatic%20segmentations%20for%20the%20upper%20leg%20muscles%20were%20performed%20using%20a%20transversal%20propagation%20approach%20developed%20by%20Ogier%20et%20al%20on%20the%20out-of-phase%20Dixon%20images%20at%20baseline.%20These%20segmentations%20were%20longitudinally%20propagated%20for%20the%20post-marathon%20and%20follow-up%20time%20points.%20Manual%20segmentations%20were%20performed%20on%20the%20water%20image%20of%20the%20Dixon%20for%20each%20of%20the%20time%20points.%20Dice%20similarity%20coefficients%20%28DSCs%29%20were%20calculated%20to%20compare%20the%20manual%20and%20semi-automatic%20segmentations.%20Bland-Altman%20and%20regression%20analyses%20were%20performed%2C%20to%20evaluate%20the%20impact%20of%20the%20two%20segmentation%20methods%20on%20mean%20diffusivity%20%28MD%29%2C%20fractional%20anisotropy%20%28FA%29%20and%20the%20third%20eigenvalue%20%28%5Cu03bb3%20%29.%20The%20average%20DSC%20for%20all%20analyzed%20muscles%20over%20all%20time%20points%20was%200.92%20%5Cu00b1%200.01%2C%20ranging%20between%200.48%20and%200.99.%20Bland-Altman%20analysis%20showed%20that%20the%2095%25%20limits%20of%20agreement%20for%20MD%2C%20FA%20and%20%5Cu03bb3%20ranged%20between%200.5%25%20and%203.0%25%20for%20the%20transversal%20propagation%20and%20between%200.7%25%20and%203.0%25%20for%20the%20longitudinal%20propagations.%20Similarly%2C%20regression%20analysis%20showed%20good%20correlation%20for%20MD%2C%20FA%20and%20%5Cu03bb3%20%28r%20%3D%200.99%2C%20p%20%3C%2060%3B%200.0001%29.%20In%20conclusion%2C%20the%20supervised%20semi-automatic%20segmentation%20framework%20successfully%20quantified%20DTI%20indices%20in%20the%20upper-leg%20muscles%20compared%20with%20manual%20segmentation%20while%20only%20requiring%20manual%20input%20of%2030%25%20of%20the%20slices%2C%20resulting%20in%20a%20threefold%20reduction%20in%20segmentation%20time.%22%2C%22date%22%3A%222021-01%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fnbm.4406%22%2C%22ISSN%22%3A%221099-1492%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222023-11-23T10%3A42%3A43Z%22%7D%7D%2C%7B%22key%22%3A%227R6WI53A%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Jourdan%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A4%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EJourdan%2C%20A.%2C%20Le%20Troter%2C%20A.%2C%20Daude%2C%20P.%2C%20Rapacchi%2C%20S.%2C%20Masson%2C%20C.%2C%20B%26%23xE8%3Bge%2C%20T.%20and%20Bendahan%2C%20D.%20%282021%29%20%26%23x2018%3BSemiautomatic%20quantification%20of%20abdominal%20wall%20muscles%20deformations%20based%20on%20dynamic%20MRI%20image%20registration%26%23x2019%3B%2C%20%3Ci%3ENMR%20in%20Biomedicine%3C%5C%2Fi%3E%2C%2034%284%29%2C%20p.%20e4470.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4470%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4470%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Semiautomatic%20quantification%20of%20abdominal%20wall%20muscles%20deformations%20based%20on%20dynamic%20MRI%20image%20registration%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arthur%22%2C%22lastName%22%3A%22Jourdan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Le%20Troter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pierre%22%2C%22lastName%22%3A%22Daude%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanislas%22%2C%22lastName%22%3A%22Rapacchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Catherine%22%2C%22lastName%22%3A%22Masson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thierry%22%2C%22lastName%22%3A%22B%5Cu00e8ge%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Quantitative%20analysis%20of%20abdominal%20organs%20motion%20and%20deformation%20is%20crucial%20to%20better%20understand%20biomechanical%20alterations%20undermining%20respiratory%2C%20digestive%20or%20perineal%20pathophysiology.%20In%20particular%2C%20biomechanical%20characterization%20of%20the%20antero-lateral%20abdominal%20wall%20is%20central%20in%20the%20diagnosis%20of%20abdominal%20muscle%20deficiency.%20Here%2C%20we%20present%20a%20dedicated%20semiautomatic%20dynamic%20MRI%20postprocessing%20method%20enabling%20the%20quantification%20of%20spatial%20and%20temporal%20deformations%20of%20the%20antero-lateral%20abdominal%20wall%20muscles.%20Ten%20healthy%20participants%20were%20imaged%20during%20a%20controlled%20breathing%20session%20at%20the%20L3%5Cu2013L4%20disc%20level%20using%20real-time%20dynamic%20MRI%20at%203%20T.%20A%20coarse%20feature-tracking%20step%20allowed%20the%20selection%20of%20the%20inhalation%20cycle%20of%20maximum%20abdominal%20excursion.%20Over%20this%20image%20series%2C%20the%20described%20method%20combines%20%281%29%20a%20supervised%202D%2Bt%20segmentation%20procedure%20of%20the%20abdominal%20wall%20muscles%2C%20%282%29%20the%20quantification%20of%20muscle%20deformations%20based%20on%20masks%20registration%2C%20and%20%283%29%20the%20mapping%20of%20deformations%20within%20muscle%20subzones%20leveraging%20a%20dedicated%20automatic%20parcellation.%20The%20supervised%202D%2Bt%20segmentation%20%281%29%20provided%20an%20accurate%20segmentation%20of%20the%20abdominal%20wall%20muscles%20throughout%20maximum%20inhalation%20with%20a%200.95%20%5Cu00b1%200.03%20Dice%20similarity%20coefficient%20%28DSC%29%20value%20and%20a%202.3%20%5Cu00b1%200.7%20mm%20Hausdorff%20distance%20value%20while%20requiring%20only%20manual%20segmentation%20of%2020%25%20of%20the%20data.%20The%20robustness%20of%20the%20deformation%20quantification%20%282%29%20was%20indicated%20by%20high%20indices%20of%20correspondence%20between%20the%20registered%20source%20mask%20and%20the%20target%20mask%20%280.98%20%5Cu00b1%200.01%20DSC%20value%20and%202.1%20%5Cu00b1%201.5%20mm%20Hausdorff%20distance%20value%29.%20Parcellation%20%283%29%20enabled%20the%20distinction%20of%20muscle%20substructures%20that%20are%20anatomically%20relevant%20but%20could%20not%20be%20distinguished%20based%20on%20image%20contrast.%20The%20present%20genuine%20postprocessing%20method%20provides%20a%20quantitative%20analytical%20frame%20that%20could%20be%20used%20in%20further%20studies%20for%20a%20better%20understanding%20of%20abdominal%20wall%20deformations%20in%20physiological%20and%20pathological%20situations.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fnbm.4470%22%2C%22ISSN%22%3A%221099-1492%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2Fabs%5C%2F10.1002%5C%2Fnbm.4470%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22SK6VWU7K%22%2C%225P5FWCR9%22%2C%22ACGLJ26R%22%5D%2C%22dateModified%22%3A%222024-12-05T16%3A12%3A37Z%22%7D%7D%2C%7B%22key%22%3A%22KHLWFN2M%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ogier%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EOgier%2C%20A.C.%2C%20Hostin%2C%20M.-A.%2C%20Bellemare%2C%20M.-E.%20and%20Bendahan%2C%20D.%20%282021%29%20%26%23x2018%3BOverview%20of%20MR%20Image%20Segmentation%20Strategies%20in%20Neuromuscular%20Disorders%26%23x2019%3B%2C%20%3Ci%3EFrontiers%20in%20Neurology%3C%5C%2Fi%3E%2C%2012%2C%20p.%20625308.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3389%5C%2Ffneur.2021.625308%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3389%5C%2Ffneur.2021.625308%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Overview%20of%20MR%20Image%20Segmentation%20Strategies%20in%20Neuromuscular%20Disorders%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc-Adrien%22%2C%22lastName%22%3A%22Hostin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc-Emmanuel%22%2C%22lastName%22%3A%22Bellemare%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Neuromuscular%20disorders%20are%20rare%20diseases%20for%20which%20few%20therapeutic%20strategies%20currently%20exist.%20Assessment%20of%20therapeutic%20strategies%20efficiency%20is%20limited%20by%20the%20lack%20of%20biomarkers%20sensitive%20to%20the%20slow%20progression%20of%20neuromuscular%20diseases%20%28NMD%29.%20Magnetic%20resonance%20imaging%20%28MRI%29%20has%20emerged%20as%20a%20tool%20of%20choice%20for%20the%20development%20of%20qualitative%20scores%20for%20the%20study%20of%20NMD.%20The%20recent%20emergence%20of%20quantitative%20MRI%20has%20enabled%20to%20provide%20quantitative%20biomarkers%20more%20sensitive%20to%20the%20evaluation%20of%20pathological%20changes%20in%20muscle%20tissue.%20However%2C%20in%20order%20to%20extract%20these%20biomarkers%20from%20specific%20regions%20of%20interest%2C%20muscle%20segmentation%20is%20mandatory.%20The%20time-consuming%20aspect%20of%20manual%20segmentation%20has%20limited%20the%20evaluation%20of%20these%20biomarkers%20on%20large%20cohorts.%20In%20recent%20years%2C%20several%20methods%20have%20been%20proposed%20to%20make%20the%20segmentation%20step%20automatic%20or%20semi-automatic.%20The%20purpose%20of%20this%20study%20was%20to%20review%20these%20methods%20and%20discuss%20their%20reliability%2C%20reproducibility%2C%20and%20limitations%20in%20the%20context%20of%20NMD.%20A%20particular%20attention%20has%20been%20paid%20to%20recent%20deep%20learning%20methods%2C%20as%20they%20have%20emerged%20as%20an%20effective%20method%20of%20image%20segmentation%20in%20many%20other%20clinical%20contexts.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.3389%5C%2Ffneur.2021.625308%22%2C%22ISSN%22%3A%221664-2295%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%2248SZ2I24%22%5D%2C%22dateModified%22%3A%222024-11-21T08%3A40%3A54Z%22%7D%7D%2C%7B%22key%22%3A%226B4PH48L%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Soldati%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ESoldati%2C%20E.%2C%20Escoffier%2C%20L.%2C%20Gabriel%2C%20S.%2C%20Ogier%2C%20A.C.%2C%20Chagnaud%2C%20C.%2C%20Mattei%2C%20J.P.%2C%20Cammilleri%2C%20S.%2C%20Bendahan%2C%20D.%20and%20Guis%2C%20S.%20%282021%29%20%26%23x2018%3BAssessment%20of%20in%20vivo%20bone%20microarchitecture%20changes%20in%20an%20anti-TNF%26%23x3B1%3B%20treated%20psoriatic%20arthritic%20patient%26%23x2019%3B%2C%20%3Ci%3EPloS%20One%3C%5C%2Fi%3E%2C%2016%285%29%2C%20p.%20e0251788.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1371%5C%2Fjournal.pone.0251788%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1371%5C%2Fjournal.pone.0251788%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Assessment%20of%20in%20vivo%20bone%20microarchitecture%20changes%20in%20an%20anti-TNF%5Cu03b1%20treated%20psoriatic%20arthritic%20patient%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Enrico%22%2C%22lastName%22%3A%22Soldati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lucas%22%2C%22lastName%22%3A%22Escoffier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Gabriel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Chagnaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean%20P.%22%2C%22lastName%22%3A%22Mattei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Serge%22%2C%22lastName%22%3A%22Cammilleri%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sandrine%22%2C%22lastName%22%3A%22Guis%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20Psoriatic%20arthritis%20%28PsA%29%20is%20an%20inflammatory%20rheumatic%20disease%2C%20mediated%20in%20part%20by%20TNF%5Cu03b1%20and%20associated%20with%20bone%20loss.%20Anti-TNF%5Cu03b1%20treatment%20should%20inhibit%20this%20phenomenon%20and%20reduce%20the%20systemic%20bone%20loss.%20Ultra-high%20field%20MRI%20%28UHF%20MRI%29%20may%20be%20used%20to%20quantify%20bone%20microarchitecture%20%28BM%29%20in-vivo.%20In%20this%20study%2C%20we%20quantified%20BM%20using%20UHF%20MRI%20in%20a%20PsA%20patient%20and%20followed%20up%20the%20changes%20related%20to%20anti-TNF%5Cu03b1%20treatment.%5CnSUBJECTS%20AND%20METHODS%3A%20A%20non-treated%20PsA%20patient%20with%20knee%20arthritis%20and%207%20gender-matched%20controls%20were%20scanned%20using%20a%20gradient%20re-echo%20sequence%20at%20UHF%20MRI.%20After%20a%20year%20of%20Adalimumab%20treatment%2C%20the%20patient%20underwent%20a%20second%20UHF%20MRI.%20A%20PET-FNa%20imaging%20was%20performed%20before%20and%20after%20treatment%20to%20identify%20and%20localize%20the%20abnormal%20metabolic%20areas.%20BM%20was%20characterized%20using%20typical%20morphological%20parameters%20quantified%20in%2032%20regions%20of%20interest%20%28ROIs%29%20located%20in%20the%20patella%2C%20proximal%20tibia%2C%20and%20distal%20femur.%5CnRESULTS%3A%20Before%20treatment%2C%20the%20BM%20parameters%20were%20statistically%20different%20from%20controls%20in%2024%5C%2F32%20ROIs%20with%20differences%20reaching%20up%20to%2038%25.%20After%20treatment%2C%20BM%20parameters%20were%20normalized%20for%2015%20out%20of%2024%20ROIs.%20The%20hypermetabolic%20areas%20disclosed%20by%20PET-FNa%20before%20the%20treatment%20partly%20resumed%20after%20the%20treatment.%5CnCONCLUSION%3A%20Thanks%20to%20UHF%20MRI%2C%20we%20quantified%20in%20vivo%20BM%20anomalies%20in%20a%20PsA%20patient%20and%20we%20illustrated%20a%20major%20reversion%20after%20one%20year%20of%20treatment.%20Moreover%2C%20BM%20results%20highlighted%20that%20the%20abnormalities%20were%20not%20only%20localized%20in%20hypermetabolic%20regions%20identified%20by%20PET-FNa%2C%20suggesting%20that%20the%20bone%20loss%20was%20global%20and%20not%20related%20to%20inflammation.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1371%5C%2Fjournal.pone.0251788%22%2C%22ISSN%22%3A%221932-6203%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-10-29T10%3A45%3A30Z%22%7D%7D%2C%7B%22key%22%3A%2248D6AR6P%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Pelletier%20et%20al.%22%2C%22parsedDate%22%3A%222020-11-11%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPelletier%2C%20L.%2C%20Petiot%2C%20A.%2C%20Brocard%2C%20J.%2C%20Giannesini%2C%20B.%2C%20Giovannini%2C%20D.%2C%20Sanchez%2C%20C.%2C%20Travard%2C%20L.%2C%20Chivet%2C%20M.%2C%20Beaufils%2C%20M.%2C%20Kutchukian%2C%20C.%2C%20Bendahan%2C%20D.%2C%20Metzger%2C%20D.%2C%20Franzini%20Armstrong%2C%20C.%2C%20Romero%2C%20N.B.%2C%20Rendu%2C%20J.%2C%20Jacquemond%2C%20V.%2C%20Faur%26%23xE9%3B%2C%20J.%20and%20Marty%2C%20I.%20%282020%29%20%26%23x2018%3BIn%20vivo%20RyR1%20reduction%20in%20muscle%20triggers%20a%20core-like%20myopathy%26%23x2019%3B%2C%20%3Ci%3EActa%20Neuropathologica%20Communications%3C%5C%2Fi%3E%2C%208%281%29%2C%20p.%20192.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs40478-020-01068-4%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs40478-020-01068-4%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22In%20vivo%20RyR1%20reduction%20in%20muscle%20triggers%20a%20core-like%20myopathy%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laurent%22%2C%22lastName%22%3A%22Pelletier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anne%22%2C%22lastName%22%3A%22Petiot%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julie%22%2C%22lastName%22%3A%22Brocard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Giannesini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Diane%22%2C%22lastName%22%3A%22Giovannini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Colline%22%2C%22lastName%22%3A%22Sanchez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lauriane%22%2C%22lastName%22%3A%22Travard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathilde%22%2C%22lastName%22%3A%22Chivet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathilde%22%2C%22lastName%22%3A%22Beaufils%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Candice%22%2C%22lastName%22%3A%22Kutchukian%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Metzger%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clara%22%2C%22lastName%22%3A%22Franzini%20Armstrong%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Norma%20B.%22%2C%22lastName%22%3A%22Romero%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%22%2C%22lastName%22%3A%22Rendu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vincent%22%2C%22lastName%22%3A%22Jacquemond%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Faur%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Isabelle%22%2C%22lastName%22%3A%22Marty%22%7D%5D%2C%22abstractNote%22%3A%22Mutations%20in%20the%20RYR1%20gene%2C%20encoding%20the%20skeletal%20muscle%20calcium%20channel%20RyR1%2C%20lead%20to%20congenital%20myopathies%2C%20through%20expression%20of%20a%20channel%20with%20abnormal%20permeability%20and%5C%2For%20in%20reduced%20amount%2C%20but%20the%20direct%20functional%20whole%20organism%20consequences%20of%20exclusive%20reduction%20in%20RyR1%20amount%20have%20never%20been%20studied.%20We%20have%20developed%20and%20characterized%20a%20mouse%20model%20with%20inducible%20muscle%20specific%20RYR1%20deletion.%20Tamoxifen-induced%20recombination%20in%20the%20RYR1%20gene%20at%20adult%20age%20resulted%20in%20a%20progressive%20reduction%20in%20the%20protein%20amount%20reaching%20a%20stable%20level%20of%2050%25%20of%20the%20initial%20amount%2C%20and%20was%20associated%20with%20a%20progressive%20muscle%20weakness%20and%20atrophy.%20Measurement%20of%20calcium%20fluxes%20in%20isolated%20muscle%20fibers%20demonstrated%20a%20reduction%20in%20the%20amplitude%20of%20RyR1-related%20calcium%20release%20mirroring%20the%20reduction%20in%20the%20protein%20amount.%20Alterations%20in%20the%20muscle%20structure%20were%20observed%2C%20with%20fibers%20atrophy%2C%20abnormal%20mitochondria%20distribution%20and%20membrane%20remodeling.%20An%20increase%20in%20the%20expression%20level%20of%20many%20proteins%20was%20observed%2C%20as%20well%20as%20an%20inhibition%20of%20the%20autophagy%20process.%20This%20model%20demonstrates%20that%20RyR1%20reduction%20is%20sufficient%20to%20recapitulate%20most%20features%20of%20Central%20Core%20Disease%2C%20and%20accordingly%20similar%20alterations%20were%20observed%20in%20muscle%20biopsies%20from%20Dusty%20Core%20Disease%20patients%20%28a%20subtype%20of%20Central%20Core%20Disease%29%2C%20pointing%20to%20common%20pathophysiological%20mechanisms%20related%20to%20RyR1%20reduction.%22%2C%22date%22%3A%22Nov%2011%2C%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1186%5C%2Fs40478-020-01068-4%22%2C%22ISSN%22%3A%222051-5960%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%226DHTGFMA%22%5D%2C%22dateModified%22%3A%222024-11-26T16%3A01%3A05Z%22%7D%7D%2C%7B%22key%22%3A%22QEUPCDHF%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Fortanier%20et%20al.%22%2C%22parsedDate%22%3A%222020-08%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EFortanier%2C%20E.%2C%20Ogier%2C%20A.C.%2C%20Delmont%2C%20E.%2C%20Lefebvre%2C%20M.-N.%2C%20Viout%2C%20P.%2C%20Guye%2C%20M.%2C%20Bendahan%2C%20D.%20and%20Attarian%2C%20S.%20%282020%29%20%26%23x2018%3BQuantitative%20assessment%20of%20sciatic%20nerve%20changes%20in%20Charcot-Marie-Tooth%20type%201A%20patients%20using%20magnetic%20resonance%20neurography%26%23x2019%3B%2C%20%3Ci%3EEuropean%20Journal%20of%20Neurology%3C%5C%2Fi%3E%2C%2027%288%29%2C%20pp.%201382%26%23x2013%3B1389.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2Fene.14303%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2Fene.14303%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantitative%20assessment%20of%20sciatic%20nerve%20changes%20in%20Charcot-Marie-Tooth%20type%201A%20patients%20using%20magnetic%20resonance%20neurography%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%22%2C%22lastName%22%3A%22Fortanier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%22%2C%22lastName%22%3A%22Delmont%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.-N.%22%2C%22lastName%22%3A%22Lefebvre%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22P.%22%2C%22lastName%22%3A%22Viout%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Attarian%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%20AND%20PURPOSE%3A%20Nerve%20tissue%20alterations%20have%20rarely%20been%20quantified%20in%20Charcot-Marie-Tooth%20type%201A%20%28CMT1A%29%20patients.%20The%20aim%20of%20the%20present%20study%20was%20to%20quantitatively%20assess%20the%20magnetic%20resonance%20imaging%20%28MRI%29%20anomalies%20of%20the%20sciatic%20and%20tibial%20nerves%20in%20CMT1A%20disease%20using%20quantitative%20neurography%20MRI.%20It%20was%20also%20intended%20to%20seek%20for%20correlations%20with%20clinical%20variables.%5CnMETHODS%3A%20Quantitative%20neurography%20MRI%20was%20used%20in%20order%20to%20assess%20differences%20in%20nerve%20volume%2C%20proton%20density%20and%20magnetization%20transfer%20ratio%20in%20the%20lower%20limbs%20of%20CMT1A%20patients%20and%20healthy%20controls.%20Disease%20severity%20was%20evaluated%20using%20the%20Charcot-Marie-Tooth%20Neuropathy%20Score%20version%202%2C%20Charcot-Marie-Tooth%20examination%20scores%20and%20Overall%20Neuropathy%20Limitations%20Scale%20scores.%20Electrophysiological%20measurements%20were%20performed%20in%20order%20to%20assess%20the%20compound%20motor%20action%20potential%20and%20the%20Motor%20Unit%20Number%20Index.%20Clinical%20impairment%20was%20evaluated%20using%20muscle%20strength%20measurements%20and%20Charcot-Marie-Tooth%20examination%20scores.%5CnRESULTS%3A%20A%20total%20of%2032%20CMT1A%20patients%20were%20enrolled%20and%20compared%20to%2013%20healthy%20subjects.%20The%203D%20nerve%20volume%2C%20magnetization%20transfer%20ratio%20and%20proton%20density%20were%20significantly%20different%20in%20CMT1A%20patients%20for%20the%20whole%20sciatic%20and%20tibial%20nerve%20volume.%20The%20sciatic%20nerve%20volume%20was%20significantly%20correlated%20with%20the%20whole%20set%20of%20clinical%20scores%20whereas%20no%20correlation%20was%20found%20between%20the%20tibial%20nerve%20volume%20and%20the%20clinical%20scores.%5CnCONCLUSION%3A%20Nerve%20injury%20could%20be%20quantified%20in%20vivo%20using%20quantitative%20neurography%20MRI%20and%20the%20corresponding%20biomarkers%20were%20correlated%20with%20clinical%20disability%20in%20CMT1A%20patients.%20The%20sensitivity%20of%20the%20selected%20metrics%20will%20have%20to%20be%20assessed%20through%20repeated%20measurements%20over%20time%20during%20longitudinal%20studies%20to%20evaluate%20structural%20nerve%20changes%20under%20treatment.%22%2C%22date%22%3A%22Aug%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1111%5C%2Fene.14303%22%2C%22ISSN%22%3A%221468-1331%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22QU2QXBVV%22%2C%2248SZ2I24%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-10-29T10%3A45%3A10Z%22%7D%7D%2C%7B%22key%22%3A%222XFX7BDZ%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22lastModifiedByUser%22%3A%7B%22id%22%3A1497928%2C%22username%22%3A%22fkober%22%2C%22name%22%3A%22Frank%20Kober%22%2C%22links%22%3A%7B%22alternate%22%3A%7B%22href%22%3A%22https%3A%5C%2F%5C%2Fwww.zotero.org%5C%2Ffkober%22%2C%22type%22%3A%22text%5C%2Fhtml%22%7D%7D%7D%2C%22creatorSummary%22%3A%22Brui%20et%20al.%22%2C%22parsedDate%22%3A%222020-08%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EBrui%2C%20E.%2C%20Efimtcev%2C%20A.Y.%2C%20Fokin%2C%20V.A.%2C%20Fernandez%2C%20R.%2C%20Levchuk%2C%20A.G.%2C%20Ogier%2C%20A.C.%2C%20Samsonov%2C%20A.A.%2C%20Mattei%2C%20J.P.%2C%20Melchakova%2C%20I.V.%2C%20Bendahan%2C%20D.%20and%20Andreychenko%2C%20A.%20%282020%29%20%26%23x2018%3BDeep%20learning-based%20fully%20automatic%20segmentation%20of%20wrist%20cartilage%20in%20MR%20images%26%23x2019%3B%2C%20%3Ci%3ENMR%20in%20biomedicine%3C%5C%2Fi%3E%2C%2033%288%29%2C%20p.%20e4320.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4320%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fnbm.4320%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Deep%20learning-based%20fully%20automatic%20segmentation%20of%20wrist%20cartilage%20in%20MR%20images%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ekaterina%22%2C%22lastName%22%3A%22Brui%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aleksandr%20Y.%22%2C%22lastName%22%3A%22Efimtcev%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vladimir%20A.%22%2C%22lastName%22%3A%22Fokin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Remi%22%2C%22lastName%22%3A%22Fernandez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anatoliy%20G.%22%2C%22lastName%22%3A%22Levchuk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexey%20A.%22%2C%22lastName%22%3A%22Samsonov%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean%20P.%22%2C%22lastName%22%3A%22Mattei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Irina%20V.%22%2C%22lastName%22%3A%22Melchakova%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anna%22%2C%22lastName%22%3A%22Andreychenko%22%7D%5D%2C%22abstractNote%22%3A%22The%20study%20objective%20was%20to%20investigate%20the%20performance%20of%20a%20dedicated%20convolutional%20neural%20network%20%28CNN%29%20optimized%20for%20wrist%20cartilage%20segmentation%20from%202D%20MR%20images.%20CNN%20utilized%20a%20planar%20architecture%20and%20patch-based%20%28PB%29%20training%20approach%20that%20ensured%20optimal%20performance%20in%20the%20presence%20of%20a%20limited%20amount%20of%20training%20data.%20The%20CNN%20was%20trained%20and%20validated%20in%2020%20multi-slice%20MRI%20datasets%20acquired%20with%20two%20different%20coils%20in%2011%20subjects%20%28healthy%20volunteers%20and%20patients%29.%20The%20validation%20included%20a%20comparison%20with%20the%20alternative%20state-of-the-art%20CNN%20methods%20for%20the%20segmentation%20of%20joints%20from%20MR%20images%20and%20the%20ground-truth%20manual%20segmentation.%20When%20trained%20on%20the%20limited%20training%20data%2C%20the%20CNN%20outperformed%20significantly%20image-based%20and%20PB-U-Net%20networks.%20Our%20PB-CNN%20also%20demonstrated%20a%20good%20agreement%20with%20manual%20segmentation%20%28S%5Cu00f8rensen-Dice%20similarity%20coefficient%20%5BDSC%5D%20%3D%200.81%29%20in%20the%20representative%20%28central%20coronal%29%20slices%20with%20a%20large%20amount%20of%20cartilage%20tissue.%20Reduced%20performance%20of%20the%20network%20for%20slices%20with%20a%20very%20limited%20amount%20of%20cartilage%20tissue%20suggests%20the%20need%20for%20fully%203D%20convolutional%20networks%20to%20provide%20uniform%20performance%20across%20the%20joint.%20The%20study%20also%20assessed%20inter-%20and%20intra-observer%20variability%20of%20the%20manual%20wrist%20cartilage%20segmentation%20%28DSC%20%3D%200.78-0.88%20and%200.9%2C%20respectively%29.%20The%20proposed%20deep%20learning-based%20segmentation%20of%20the%20wrist%20cartilage%20from%20MRI%20could%20facilitate%20research%20of%20novel%20imaging%20markers%20of%20wrist%20osteoarthritis%20to%20characterize%20its%20progression%20and%20response%20to%20therapy.%22%2C%22date%22%3A%222020-08%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fnbm.4320%22%2C%22ISSN%22%3A%221099-1492%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-01-08T12%3A31%3A52Z%22%7D%7D%2C%7B%22key%22%3A%22ASIHE4RL%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ogier%20et%20al.%22%2C%22parsedDate%22%3A%222020-05%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EOgier%2C%20A.C.%2C%20Heskamp%2C%20L.%2C%20Michel%2C%20C.P.%2C%20Four%26%23xE9%3B%2C%20A.%2C%20Bellemare%2C%20M.-E.%2C%20Le%20Troter%2C%20A.%2C%20Heerschap%2C%20A.%20and%20Bendahan%2C%20D.%20%282020%29%20%26%23x2018%3BA%20novel%20segmentation%20framework%20dedicated%20to%20the%20follow-up%20of%20fat%20infiltration%20in%20individual%20muscles%20of%20patients%20with%20neuromuscular%20disorders%26%23x2019%3B%2C%20%3Ci%3EMagnetic%20Resonance%20in%20Medicine%3C%5C%2Fi%3E%2C%2083%285%29%2C%20pp.%201825%26%23x2013%3B1836.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmrm.28030%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmrm.28030%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20novel%20segmentation%20framework%20dedicated%20to%20the%20follow-up%20of%20fat%20infiltration%20in%20individual%20muscles%20of%20patients%20with%20neuromuscular%20disorders%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Linda%22%2C%22lastName%22%3A%22Heskamp%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Constance%20P.%22%2C%22lastName%22%3A%22Michel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Four%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc-Emmanuel%22%2C%22lastName%22%3A%22Bellemare%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Le%20Troter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arend%22%2C%22lastName%22%3A%22Heerschap%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22PURPOSE%3A%20To%20propose%20a%20novel%20segmentation%20framework%20that%20is%20dedicated%20to%20the%20follow-up%20of%20fat%20infiltration%20in%20individual%20muscles%20of%20patients%20with%20neuromuscular%20disorders.%5CnMETHODS%3A%20We%20designed%20a%20semi-automatic%20segmentation%20pipeline%20of%20individual%20leg%20muscles%20in%20MR%20images%20based%20on%20automatic%20propagation%20through%20nonlinear%20registrations%20of%20initial%20delineation%20in%20a%20minimal%20number%20of%20MR%20slices.%20This%20approach%20has%20been%20validated%20for%20the%20segmentation%20of%20individual%20muscles%20from%20MRI%20data%20sets%2C%20acquired%20over%20a%2010-month%20period%2C%20from%20thighs%20and%20legs%20in%2010%20patients%20with%20muscular%20dystrophy.%20The%20robustness%20of%20the%20framework%20was%20evaluated%20using%20conventional%20metrics%20related%20to%20muscle%20volume%20and%20clinical%20metrics%20related%20to%20fat%20infiltration.%5CnRESULTS%3A%20High%20accuracy%20of%20the%20semi-automatic%20segmentation%20%28mean%20Dice%20similarity%20coefficient%20higher%20than%200.89%29%20was%20reported.%20The%20provided%20method%20has%20excellent%20reliability%20regarding%20the%20reproducibility%20of%20the%20fat%20fraction%20estimation%2C%20with%20an%20average%20intraclass%20correlation%20coefficient%20score%20of%200.99.%20Furthermore%2C%20the%20present%20segmentation%20framework%20was%20determined%20to%20be%20more%20reliable%20than%20the%20intra-expert%20performance%2C%20which%20had%20an%20average%20intraclass%20correlation%20coefficient%20of%200.93.%5CnCONCLUSION%3A%20The%20proposed%20framework%20of%20segmentation%20can%20successfully%20provide%20an%20effective%20and%20reliable%20tool%20for%20accurate%20follow-up%20of%20any%20MRI%20biomarkers%20in%20neuromuscular%20disorders.%20This%20method%20could%20assist%20the%20quantitative%20assessment%20of%20muscular%20changes%20occurring%20in%20such%20diseases.%22%2C%22date%22%3A%22May%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fmrm.28030%22%2C%22ISSN%22%3A%221522-2594%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%226M38MJ3E%22%2C%2248SZ2I24%22%2C%225P5FWCR9%22%5D%2C%22dateModified%22%3A%222024-11-21T08%3A40%3A56Z%22%7D%7D%2C%7B%22key%22%3A%225H5QANWH%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Four%5Cu00e9%20et%20al.%22%2C%22parsedDate%22%3A%222020-02%22%2C%22numChildren%22%3A4%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EFour%26%23xE9%3B%2C%20A.%2C%20Ogier%2C%20A.C.%2C%20Guye%2C%20M.%2C%20Gondin%2C%20J.%20and%20Bendahan%2C%20D.%20%282020%29%20%26%23x2018%3BMuscle%20alterations%20induced%20by%20electrostimulation%20are%20lower%20at%20short%20quadriceps%20femoris%20length%26%23x2019%3B%2C%20%3Ci%3EEuropean%20Journal%20of%20Applied%20Physiology%3C%5C%2Fi%3E%2C%20120%282%29%2C%20pp.%20325%26%23x2013%3B335.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00421-019-04277-5%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs00421-019-04277-5%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Muscle%20alterations%20induced%20by%20electrostimulation%20are%20lower%20at%20short%20quadriceps%20femoris%20length%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Four%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Gondin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22PURPOSE%3A%20This%20study%20aimed%20at%20determining%20through%20MRI%20investigations%2C%20force%20and%20soreness%20assessments%20whether%20the%20modulation%20of%20muscle%20length%20is%20a%20relevant%20strategy%20for%20minimising%20neuromuscular%20electrical%20stimulation%20%28NMES%29-induced%20muscle%20damage%20in%20young%20healthy%20participants.%5CnMETHODS%3A%20Comparison%20of%202%20NMES%20sessions%20%2840%20isometric%20electrically-evoked%20contractions%20of%20the%20knee%20extensors%29%20was%20randomly%20performed%20on%201%20knee%20flexed%20at%2050%5Cu00b0%20%28short%20muscle%20length%29%20and%20the%20contralateral%20at%20100%5Cu00b0%20%28long%20muscle%20length%29%20in%20a%20single%20group%20of%20healthy%20participants.%20Indirect%20markers%20of%20muscle%20damage%20including%20changes%20in%20maximal%20voluntary%20isometric%5Cu00a0contraction%20%28MVC%29%20force%2C%20muscle%20volume%20and%20transverse%20relaxation%20time%20%28T2%29%20were%20measured%20before%2C%202%5Cu00a0days%20%28D2%29%2C%204%5Cu00a0days%20%28D4%29%20and%207%5Cu00a0days%20%28D7%29%20after%20the%20NMES%20sessions%20in%20each%20limb%20of%20the%20ten%20participants.%5CnRESULTS%3A%20Although%20stimulation%20intensity%20was%20similar%20during%20the%20NMES%20session%20on%20both%20limbs%2C%20significantly%20lower%20force%20production%20was%20recorded%20at%20long%20muscle%20length%20%28peak%20at%2030%5Cu2009%5Cu00b1%5Cu20095%25%20MVC%20force%29%20as%20compared%20to%20short%20muscle%20length%20%28peak%20at%2061%5Cu2009%5Cu00b1%5Cu200912%25%20MVC%20force%29.%20In%20the%20following%20days%2C%20MVC%20force%20at%20long%20muscle%20length%20was%20decreased%20from%20D2%20to%20D7%2C%20whereas%20no%20significant%20change%5Cu00a0occurred%20at%20short%20muscle%20length.%20Increases%20in%20muscle%20volume%20and%20T2%20were%20found%20at%20each%20time%20point%20in%20stimulated%20muscles%20at%20long%20muscle%20length%2C%20whereas%20no%20change%20was%20found%20at%20short%20muscle%20length.%5CnCONCLUSION%3A%20For%20the%20same%20stimulation%20intensity%2C%20NMES-induced%20isometric%20contractions%20generate%20higher%20knee%20extension%20force%20output%20and%20result%20in%20lower%20muscle%20tissues%20alterations%20that%20could%20be%20related%20to%20a%20lower%20intramuscular%20shear%20strain%20when%20exercise%20is%20performed%20at%20short%20muscle%20length.%22%2C%22date%22%3A%22Feb%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1007%5C%2Fs00421-019-04277-5%22%2C%22ISSN%22%3A%221439-6327%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%226XQENTHJ%22%2C%22NW6SZQBR%22%2C%226M38MJ3E%22%2C%2248SZ2I24%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-09-16T13%3A08%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22RAQXVXL7%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Guenoun%20et%20al.%22%2C%22parsedDate%22%3A%222020-01-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EGuenoun%2C%20D.%2C%20Pithioux%2C%20M.%2C%20Souplet%2C%20J.-C.%2C%20Guis%2C%20S.%2C%20Le%20Corroller%2C%20T.%2C%20Four%26%23xE9%3B%2C%20A.%2C%20Pauly%2C%20V.%2C%20Mattei%2C%20J.-P.%2C%20Bernard%2C%20M.%2C%20Guye%2C%20M.%2C%20Chabrand%2C%20P.%2C%20Champsaur%2C%20P.%20and%20Bendahan%2C%20D.%20%282020%29%20%26%23x2018%3BAssessment%20of%20proximal%20femur%20microarchitecture%20using%20ultra-high%20field%20MRI%20at%207%20Tesla%26%23x2019%3B%2C%20%3Ci%3EDiagnostic%20and%20Interventional%20Imaging%3C%5C%2Fi%3E%2C%20101%281%29%2C%20pp.%2045%26%23x2013%3B53.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.diii.2019.06.013%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.diii.2019.06.013%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Assessment%20of%20proximal%20femur%20microarchitecture%20using%20ultra-high%20field%20MRI%20at%207%20Tesla%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Guenoun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Pithioux%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.%20-C.%22%2C%22lastName%22%3A%22Souplet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Guis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T.%22%2C%22lastName%22%3A%22Le%20Corroller%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Four%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22V.%22%2C%22lastName%22%3A%22Pauly%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.%20-P.%22%2C%22lastName%22%3A%22Mattei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Bernard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22P.%22%2C%22lastName%22%3A%22Chabrand%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22P.%22%2C%22lastName%22%3A%22Champsaur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22Purpose%5CnThe%20purpose%20of%20this%20study%20was%20to%20investigate%20bone%20microarchitecture%20of%20cadaveric%20proximal%20femurs%20using%20ultra-high%20field%20%28UHF%29%207-Tesla%20magnetic%20resonance%20imaging%20%28MRI%29%20and%20to%20compare%20the%20corresponding%20metrics%20with%20failure%20load%20assessed%20during%20mechanical%20compression%20test%20and%20areal%20bone%20mineral%20density%20%28ABMD%29%20measured%20using%20dual-energy%20X-ray%20absorptiometry.%5CnMaterials%20and%20methods%5CnABMD%20of%20ten%20proximal%20femurs%20from%20five%20cadavers%20%285%20women%3B%20mean%20age%3D86.2%5Cu00b13.8%20%28SD%29%20years%3B%20range%3A%2082.5%5Cu201390%20years%29%20were%20investigated%20using%20dual-energy%20X-ray%20absorptiometry%20and%20the%20bone%20volume%20fraction%2C%20trabecular%20thickness%2C%20trabecular%20spacing%2C%20fractal%20dimension%2C%20Euler%20characteristics%2C%20connectivity%20density%20and%20degree%20of%20anisotropy%20of%20each%20femur%20was%20quantified%20using%20UHF%20MRI.%20The%20whole%20set%20of%20specimens%20underwent%20mechanical%20compression%20tests%20to%20failure.%20The%20inter-rater%20reliability%20of%20microarchitecture%20characterization%20was%20assessed%20with%20the%20intraclass%20correlation%20coefficient%20%28ICC%29.%20Associations%20were%20searched%20using%20correlation%20tests%20and%20multiple%20regression%20analysis.%5CnResults%5CnThe%20inter-rater%20reliability%20for%20bone%20microarchitecture%20parameters%20measurement%20was%20good%20with%20ICC%20ranging%20from%200.80%20and%200.91.%20ABMD%20and%20the%20whole%20set%20of%20microarchitecture%20metrics%20but%20connectivity%20density%20significantly%20correlated%20with%20failure%20load.%20Microarchitecture%20metrics%20correlated%20to%20each%20other%20but%20did%20not%20correlate%20with%20ABMD.%20Multiple%20regression%20analysis%20disclosed%20that%20the%20combination%20of%20microarchitecture%20metrics%20and%20ABMD%20improved%20the%20association%20with%20failure%20load.%5CnConclusion%5CnFemur%20bone%20microarchitecture%20metrics%20quantified%20using%20UHF%20MRI%20significantly%20correlated%20with%20biomechanical%20parameters.%20The%20multimodal%20assessment%20of%20ABMD%20and%20trabecular%20bone%20microarchitecture%20using%20UHF%20MRI%20provides%20more%20information%20about%20fracture%20risk%20of%20femoral%20bone%20and%20might%20be%20of%20interest%20for%20future%20investigations%20of%20patients%20with%20undetected%20osteoporosis.%22%2C%22date%22%3A%22January%201%2C%202020%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.diii.2019.06.013%22%2C%22ISSN%22%3A%222211-5684%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS2211568419301676%22%2C%22collections%22%3A%5B%225Z6CVJGB%22%2C%22NW6SZQBR%22%2C%226M38MJ3E%22%2C%226BEMAGEW%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-10-29T10%3A45%3A20Z%22%7D%7D%2C%7B%22key%22%3A%22P67D95QK%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hurshkainen%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHurshkainen%2C%20A.%2C%20Dubois%2C%20M.%2C%20Nikulin%2C%20A.%2C%20Vilmen%2C%20C.%2C%20Bendahan%2C%20D.%2C%20Enoch%2C%20S.%2C%20Glybovski%2C%20S.%20and%20Abdeddaim%2C%20R.%20%282020%29%20%26%23x2018%3BRadio%20Frequency%20Coil%20for%20Dual-Nuclei%20MR%20Muscle%20Energetics%20Investigation%20Based%20on%20Two%20Capacitively%20Coupled%20Periodic%20Wire%20Arrays%26%23x2019%3B%2C%20%3Ci%3EIEEE%20Antennas%20and%20Wireless%20Propagation%20Letters%3C%5C%2Fi%3E%2C%2019%285%29%2C%20pp.%20721%26%23x2013%3B725.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FLAWP.2019.2960610%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FLAWP.2019.2960610%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Radio%20Frequency%20Coil%20for%20Dual-Nuclei%20MR%20Muscle%20Energetics%20Investigation%20Based%20on%20Two%20Capacitively%20Coupled%20Periodic%20Wire%20Arrays%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anna%22%2C%22lastName%22%3A%22Hurshkainen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc%22%2C%22lastName%22%3A%22Dubois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anton%22%2C%22lastName%22%3A%22Nikulin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Vilmen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Enoch%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stanislav%22%2C%22lastName%22%3A%22Glybovski%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Redha%22%2C%22lastName%22%3A%22Abdeddaim%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%225%5C%2F2020%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FLAWP.2019.2960610%22%2C%22ISSN%22%3A%221536-1225%2C%201548-5757%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F8989835%5C%2F%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%5D%2C%22dateModified%22%3A%222024-11-21T08%3A41%3A42Z%22%7D%7D%2C%7B%22key%22%3A%22YD23IXI6%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ansari%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EAnsari%2C%20B.%2C%20Salort-Campana%2C%20E.%2C%20Ogier%2C%20A.%2C%20Le%20Troter%20PhD%2C%20A.%2C%20De%20Sainte%20Marie%2C%20B.%2C%20Guye%2C%20M.%2C%20Delmont%2C%20E.%2C%20Grapperon%2C%20A.-M.%2C%20Verschueren%2C%20A.%2C%20Bendahan%2C%20D.%20and%20Attarian%2C%20S.%20%282020%29%20%26%23x2018%3BQuantitative%20muscle%20MRI%20study%20of%20patients%20with%20sporadic%20inclusion%20body%20myositis%26%23x2019%3B%2C%20%3Ci%3EMuscle%20%26amp%3B%20Nerve%3C%5C%2Fi%3E%2C%2061%284%29%2C%20pp.%20496%26%23x2013%3B503.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmus.26813%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmus.26813%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantitative%20muscle%20MRI%20study%20of%20patients%20with%20sporadic%20inclusion%20body%20myositis%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Behnaz%22%2C%22lastName%22%3A%22Ansari%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emmanuelle%22%2C%22lastName%22%3A%22Salort-Campana%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Le%20Troter%20PhD%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22De%20Sainte%20Marie%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emilien%22%2C%22lastName%22%3A%22Delmont%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aude-Marie%22%2C%22lastName%22%3A%22Grapperon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Annie%22%2C%22lastName%22%3A%22Verschueren%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shahram%22%2C%22lastName%22%3A%22Attarian%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%3A%20Fat%20infiltration%20in%20individual%20muscles%20of%20sporadic%20inclusion%20body%20myositis%20%28sIBM%29%20patients%20has%20rarely%20been%20assessed.%5CnMETHODS%3A%20Sixteen%20sIBM%20patients%20were%20assessed%20using%20MRI%20of%20the%20thighs%20and%20lower%20legs%20%28LL%29.%20The%20severity%20of%20fat%20infiltration%2C%20proximal-to-distal%20and%20side%20asymmetries%2C%20and%20the%20correlations%20with%20clinical%20and%20functional%20parameters%20were%20investigated.%5CnRESULTS%3A%20All%20the%20patients%20had%20fat-infiltrated%20muscles%2C%20and%20thighs%20were%20more%20severely%20affected%20than%20LL.%20A%20proximal-to-distal%20gradient%20of%20fat%20infiltration%20was%20mainly%20observed%20for%20adductors%2C%20quadriceps%2C%20sartorius%2C%20and%20medial%20gastrocnemius%20muscles.%20A%20strong%20negative%20correlation%20was%20observed%20between%20the%20whole%20muscle%20fat%20fraction%20in%20the%20thighs%20and%20LL%20and%20the%20Inclusion%20Body%20Myositis%20Functional%20Rating%20Scale%20and%20Medical%20Research%20Council%20scores%20for%20the%20lower%20limbs.%5CnCONCLUSIONS%3A%20Fat%20infiltration%20in%20individual%20muscles%20of%20sIBM%20patients%20is%20heterogeneous%20in%20terms%20of%20proximal-to-distal%20gradient%20and%20severity%20was%20correlated%20with%20clinical%20scores.%20These%20results%20should%20be%20considered%20for%20both%20natural%20history%20investigation%20and%20clinical%20trials.%22%2C%22date%22%3A%2204%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fmus.26813%22%2C%22ISSN%22%3A%221097-4598%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%2248SZ2I24%22%2C%225P5FWCR9%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-10-15T14%3A44%3A35Z%22%7D%7D%2C%7B%22key%22%3A%22VDBK298R%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Bas%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EBas%2C%20J.%2C%20Ogier%2C%20A.C.%2C%20Le%20Troter%2C%20A.%2C%20Delmont%2C%20E.%2C%20Leporq%2C%20B.%2C%20Pini%2C%20L.%2C%20Guye%2C%20M.%2C%20Parlanti%2C%20A.%2C%20Lefebvre%2C%20M.-N.%2C%20Bendahan%2C%20D.%20and%20Attarian%2C%20S.%20%282020%29%20%26%23x2018%3BFat%20fraction%20distribution%20in%20lower%20limb%20muscles%20of%20patients%20with%20CMT1A%3A%20A%20quantitative%20MRI%20study%26%23x2019%3B%2C%20%3Ci%3ENeurology%3C%5C%2Fi%3E%2C%2094%2814%29%2C%20pp.%20e1480%26%23x2013%3Be1487.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1212%5C%2FWNL.0000000000009013%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1212%5C%2FWNL.0000000000009013%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Fat%20fraction%20distribution%20in%20lower%20limb%20muscles%20of%20patients%20with%20CMT1A%3A%20A%20quantitative%20MRI%20study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joachim%22%2C%22lastName%22%3A%22Bas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Le%20Troter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emilien%22%2C%22lastName%22%3A%22Delmont%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Leporq%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lauriane%22%2C%22lastName%22%3A%22Pini%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amandine%22%2C%22lastName%22%3A%22Parlanti%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marie-No%5Cu00eblle%22%2C%22lastName%22%3A%22Lefebvre%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shahram%22%2C%22lastName%22%3A%22Attarian%22%7D%5D%2C%22abstractNote%22%3A%22OBJECTIVE%3A%20To%20quantitatively%20describe%20the%20MRI%20fat%20infiltration%20pattern%20of%20muscle%20degeneration%20in%20Charcot-Marie-Tooth%20%28CMT%29%20type%201A%20%28CMT1A%29%20disease%20and%20to%20look%20for%20correlations%20with%20clinical%20variables.%5CnMETHODS%3A%20MRI%20fat%20fraction%20was%20assessed%20in%20lower-limb%20musculature%20of%20patients%20with%20CMT1A%20and%20healthy%20controls.%20More%20particularly%2C%2014%20muscle%20compartments%20were%20selected%20at%20leg%20and%20thigh%20levels%20and%20for%20proximal%2C%20distal%2C%20and%20medial%20slices.%20Muscle%20fat%20infiltration%20profile%20was%20determined%20quantitatively%20in%20each%20muscle%20compartment%20and%20along%20the%20entire%20volume%20of%20acquisition%20to%20determine%20a%20length-dependent%20gradient%20of%20fat%20infiltration.%20Clinical%20impairment%20was%20evaluated%20with%20muscle%20strength%20measurements%20and%20CMT%20Examination%20Scores%20%28CMTESs%29.%5CnRESULTS%3A%20A%20total%20of%2016%20patients%20with%20CMT1A%20were%20enrolled%20and%20compared%20to%2011%20healthy%20controls.%20Patients%20with%20CMT1A%20showed%20a%20larger%20muscle%20fat%20fraction%20at%20leg%20and%20thigh%20levels%20with%20a%20proximal-to-distal%20gradient.%20At%20the%20leg%20level%2C%20the%20largest%20fat%20infiltration%20was%20quantified%20in%20the%20anterior%20and%20lateral%20compartments.%20CMTES%20was%20correlated%20with%20fat%20fraction%2C%20especially%20in%20the%20anterior%20compartment%20of%20leg%20muscles.%20Strength%20of%20plantar%20flexion%20was%20also%20correlated%20with%20fat%20fraction%20of%20the%20posterior%20compartments%20of%20leg%20muscles.%5CnCONCLUSION%3A%20On%20the%20basis%20of%20quantitative%20MRI%20measurements%20combined%20with%20a%20dedicated%20segmentation%20method%2C%20muscle%20fat%20infiltration%20quantified%20in%20patients%20with%20CMT1A%20disclosed%20a%20length-dependent%20peroneal-type%20pattern%20of%20fat%20infiltration%20and%20was%20correlated%20to%20main%20clinical%20variables.%20Quantification%20of%20fat%20fraction%20at%20different%20levels%20of%20the%20leg%20anterior%20compartment%20might%20be%20of%20interest%20in%20future%20clinical%20trials.%22%2C%22date%22%3A%2204%2007%2C%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1212%5C%2FWNL.0000000000009013%22%2C%22ISSN%22%3A%221526-632X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%2248SZ2I24%22%2C%225P5FWCR9%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222023-12-15T10%3A50%3A04Z%22%7D%7D%2C%7B%22key%22%3A%22QC3HJPH9%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gineste%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A4%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EGineste%2C%20C.%2C%20Ogier%2C%20A.C.%2C%20Varlet%2C%20I.%2C%20Hourani%2C%20Z.%2C%20Bernard%2C%20M.%2C%20Granzier%2C%20H.%2C%20Bendahan%2C%20D.%20and%20Gondin%2C%20J.%20%282020%29%20%26%23x2018%3BIn%20vivo%20characterization%20of%20skeletal%20muscle%20function%20in%20nebulin-deficient%20mice%26%23x2019%3B%2C%20%3Ci%3EMuscle%20%26amp%3B%20Nerve%3C%5C%2Fi%3E%2C%2061%283%29%2C%20pp.%20416%26%23x2013%3B424.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmus.26798%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fmus.26798%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22In%20vivo%20characterization%20of%20skeletal%20muscle%20function%20in%20nebulin-deficient%20mice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charlotte%22%2C%22lastName%22%3A%22Gineste%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Isabelle%22%2C%22lastName%22%3A%22Varlet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Zaynab%22%2C%22lastName%22%3A%22Hourani%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Monique%22%2C%22lastName%22%3A%22Bernard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henk%22%2C%22lastName%22%3A%22Granzier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Gondin%22%7D%5D%2C%22abstractNote%22%3A%22INTRODUCTION%3A%20The%20conditional%20nebulin%20knockout%20mouse%20is%20a%20new%20model%20mimicking%20nemaline%20myopathy%2C%20a%20rare%20disease%20characterized%20by%20muscle%20weakness%20and%20rods%20within%20muscle%20fibers.%20We%20investigated%20the%20impact%20of%20nebulin%20%28NEB%29%20deficiency%20on%20muscle%20function%20in%20vivo.%5CnMETHODS%3A%20Conditional%20nebulin%20knockout%20mice%20and%20control%20littermates%20were%20studied%20at%2010%20to%2012%5Cu2009months.%20Muscle%20function%20%28force%20and%20fatigue%29%20and%20anatomy%20%28muscles%20volume%20and%20fat%20content%29%20were%20measured%20in%20vivo.%20Myosin%20heavy%20chain%20%28MHC%29%20composition%20and%20nebulin%20%28NEB%29%20protein%20expression%20were%20assessed%20by%20protein%20electrophoresis.%5CnRESULTS%3A%20Conditional%20nebulin%20knockout%20mice%20displayed%20a%20lower%20NEB%20level%20%28-90%25%29%20leading%20to%20a%2040%25%20and%2045%25%20reduction%20in%20specific%20maximal%20force%20production%20and%20muscles%20volume%2C%20respectively.%20Nebulin%20deficiency%20was%20also%20associated%20with%20higher%20resistance%20to%20fatigue%20and%20increased%20MHC%20I%20content.%5CnDISCUSSION%3A%20Adult%20nebulin-deficient%20mice%20displayed%20severe%20muscle%20atrophy%20and%20weakness%20in%20vivo%20related%20to%20a%20low%20NEB%20content%20but%20an%20improved%20fatigue%20resistance%20due%20to%20a%20slower%20contractile%20phenotype.%22%2C%22date%22%3A%2203%202020%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1002%5C%2Fmus.26798%22%2C%22ISSN%22%3A%221097-4598%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%226XQENTHJ%22%2C%225Z6CVJGB%22%2C%22NW6SZQBR%22%2C%228MP7SHDW%22%2C%2248SZ2I24%22%5D%2C%22dateModified%22%3A%222024-12-19T15%3A16%3A38Z%22%7D%7D%2C%7B%22key%22%3A%228N6FEDPP%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22lastModifiedByUser%22%3A%7B%22id%22%3A1497928%2C%22username%22%3A%22fkober%22%2C%22name%22%3A%22Frank%20Kober%22%2C%22links%22%3A%7B%22alternate%22%3A%7B%22href%22%3A%22https%3A%5C%2F%5C%2Fwww.zotero.org%5C%2Ffkober%22%2C%22type%22%3A%22text%5C%2Fhtml%22%7D%7D%7D%2C%22creatorSummary%22%3A%22Felici%20et%20al.%22%2C%22parsedDate%22%3A%222019-09%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EFelici%2C%20F.%2C%20Scemama%2C%20U.%2C%20Bendahan%2C%20D.%2C%20Lavieille%2C%20J.-P.%2C%20Moulin%2C%20G.%2C%20Chagnaud%2C%20C.%2C%20Montava%2C%20M.%20and%20Varoquaux%2C%20A.%20%282019%29%20%26%23x2018%3BImproved%20Assessment%20of%20Middle%20Ear%20Recurrent%20Cholesteatomas%20Using%20a%20Fusion%20of%20Conventional%20CT%20and%20Non-EPI-DWI%20MRI%26%23x2019%3B%2C%20%3Ci%3EAJNR.%20American%20journal%20of%20neuroradiology%3C%5C%2Fi%3E%2C%2040%289%29%2C%20pp.%201546%26%23x2013%3B1551.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3174%5C%2Fajnr.A6141%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3174%5C%2Fajnr.A6141%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Improved%20Assessment%20of%20Middle%20Ear%20Recurrent%20Cholesteatomas%20Using%20a%20Fusion%20of%20Conventional%20CT%20and%20Non-EPI-DWI%20MRI%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22F.%22%2C%22lastName%22%3A%22Felici%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22U.%22%2C%22lastName%22%3A%22Scemama%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.-P.%22%2C%22lastName%22%3A%22Lavieille%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22G.%22%2C%22lastName%22%3A%22Moulin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Chagnaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Montava%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Varoquaux%22%7D%5D%2C%22abstractNote%22%3A%22BACKGROUND%20AND%20PURPOSE%3A%20Recurrent%20middle%20ear%20cholesteatomas%20are%20commonly%20preoperatively%20assessed%20using%20MR%20imaging%20%28non-EPI-DWI%29%20and%20CT.%20Both%20modalities%20are%20used%20with%20the%20aim%20of%20distinguishing%20scar%20tissue%20from%20cholesteatoma%20and%20determining%20the%20extent%20of%20bone%20erosions.%20Inflammation%20and%20scar%20tissue%20associated%20with%20the%20lesions%20might%20hamper%20a%20proper%20delineation%20of%20the%20corresponding%20extensions%20on%20CT%20images.%20Using%20surgical%20findings%20as%20the%20criterion%20standard%2C%20we%20assessed%20the%20recurrent%20middle%20ear%20cholesteatoma%20extent%20using%20either%20uncoregistered%20or%20fused%20CT-MR%20imaging%20datasets%20and%20determined%20the%20corresponding%20accuracy%20and%20repeatability.%5CnMATERIALS%20AND%20METHODS%3A%20Twenty%20consecutive%20patients%20with%20suspected%20recurrent%20middle%20ear%20cholesteatoma%20and%20preoperative%20CT-MR%20imaging%20datasets%20were%20prospectively%20included.%20A%20double-blind%20assessment%20and%20coregistration%20of%20the%20recurrent%20middle%20ear%20cholesteatoma%20extent%20and%20manual%20delineation%20of%2018%20presumed%20recurrent%20middle%20ear%20cholesteatomas%20were%20performed%20by%202%20radiologists%20and%20compared%20with%20the%20criterion%20standard.%20%5C%22Reliability%20score%5C%22%20was%20defined%20to%20qualify%20radiologists%27%20confidence.%20For%20each%20volume%2C%20segmentation%20repeatability%20was%20assessed%20on%20the%20basis%20of%20intraclass%20correlation%20coefficient%20and%20overlap%20indices.%5CnRESULTS%3A%20For%20the%20whole%20set%20of%20patients%2C%20recurrent%20middle%20ear%20cholesteatoma%20was%20further%20supported%20by%20surgical%20results.%20Two%20lesions%20were%20excluded%20from%20the%20analysis%2C%20given%20that%20MR%20imaging%20did%20not%20show%20a%20restricted%20diffusion.%20Lesions%20were%20accurately%20localized%20using%20the%20fused%20datasets%2C%20whereas%20significantly%20fewer%20lesions%20%2885%25%29%20were%20correctly%20localized%20using%20uncoregistered%20images.%20Reliability%20scores%20were%20larger%20for%20fused%20datasets.%20Segmentation%20repeatability%20showed%20an%20almost%20perfect%20intraclass%20correlation%20coefficient%20regarding%20volumes%2C%20while%20overlaps%20were%20significantly%20lower%20in%20uncoregistered%20%2852%25%29%20compared%20with%20fused%20%2860%25%2C%20P%20%3C%20.001%29%20datasets.%5CnCONCLUSIONS%3A%20The%20use%20of%20coregistered%20CT-MR%20images%20significantly%20improved%20the%20assessment%20of%20recurrent%20middle%20ear%20cholesteatoma%20with%20a%20greater%20accuracy%20and%20better%20reliability%20and%20repeatability.%22%2C%22date%22%3A%222019-09%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.3174%5C%2Fajnr.A6141%22%2C%22ISSN%22%3A%221936-959X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22LPVXE8S8%22%2C%22KBIRKXGV%22%5D%2C%22dateModified%22%3A%222024-09-19T07%3A42%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22ERXELJAQ%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Four%5Cu00e9%20et%20al.%22%2C%22parsedDate%22%3A%222019-08%22%2C%22numChildren%22%3A4%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EFour%26%23xE9%3B%2C%20A.%2C%20Le%20Troter%2C%20A.%2C%20Ogier%2C%20A.C.%2C%20Guye%2C%20M.%2C%20Gondin%2C%20J.%20and%20Bendahan%2C%20D.%20%282019%29%20%26%23x2018%3BSpatial%20difference%20can%20occur%20between%20activated%20and%20damaged%20muscle%20areas%20following%20electrically-induced%20isometric%20contractions%26%23x2019%3B%2C%20%3Ci%3EThe%20Journal%20of%20Physiology%3C%5C%2Fi%3E%2C%20597%2816%29%2C%20pp.%204227%26%23x2013%3B4236.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1113%5C%2FJP278205%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1113%5C%2FJP278205%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Spatial%20difference%20can%20occur%20between%20activated%20and%20damaged%20muscle%20areas%20following%20electrically-induced%20isometric%20contractions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Four%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Le%20Troter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Augustin%20C.%22%2C%22lastName%22%3A%22Ogier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Guye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Gondin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%5D%2C%22abstractNote%22%3A%22KEY%20POINTS%3A%20T2%20mapping%20combined%20to%20image%20registration%20and%20statistical%20parametric%20mapping%20analysis%20is%20a%20suitable%20methodology%20to%20accurately%20localize%20and%20compare%20the%20extent%20of%20both%20activated%20and%20damaged%20muscle%20areas.%20Activated%20muscle%20areas%20following%20electrically-induced%20isometric%20contractions%20are%20superficial%2C%20but%20damaged%20regions%20are%20muscle%20specific%20and%20can%20be%20related%20to%20the%20muscle%20morphology%20and%5C%2For%20the%20relative%20spatial%20position%20within%20a%20muscle%20group%20leading%20to%20potential%20intramuscular%20muscle%20shear%20strain.%20Tissues%20other%20than%20active%20skeletal%20muscle%20fibres%20can%20be%20altered%20during%20unaccustomed%20neuromuscular%20electrical%20stimulation-induced%20isometric%20contractions.%5CnABSTRACT%3A%20Skeletal%20muscle%20isometric%20contractions%20induced%20by%20neuromuscular%20electrical%20stimulation%20%28NMES%29%20exercise%20can%20generate%20damage%20within%20activated%20muscles.%20This%20study%20aimed%20at%20comparing%20the%20localization%20and%20the%20extent%20of%20NMES-activated%20muscle%20areas%20and%20induced%20damage%20regions%20using%20magnetic%20resonance%20imaging.%20Thirteen%20healthy%20subjects%20performed%20a%20single%20bout%20of%20NMES-induced%20isometric%20contractions%20known%20to%20induce%20a%20decrease%20in%20maximal%20voluntary%20isometric%20contraction%20%28MVC%29%20and%20increase%20in%20muscle%20volume%20and%20transverse%20relaxation%20time%20%28T2%20%29.%20All%20the%20parameters%20were%20measured%20before%2C%20immediately%20after%20%28POST%29%2C%207%5Cu00a0days%20%28D7%29%2C%2014%5Cu00a0days%20%28D14%29%20and%2021%5Cu00a0days%20%28D21%29%20after%20the%20NMES%20session.%20Spatial%20normalization%20of%20T2%20maps%20were%20performed%20to%20compare%20the%20localization%20of%20muscle%20activation%20areas%20and%20damaged%20muscle%20regions%20from%20statistical%20mapping%20analyses.%20A%20significant%20decrease%20in%20MVC%20was%20found%20at%20POST%20%28-26%5Cu00a0%5Cu00b1%5Cu00a09%25%29%20and%20in%20delayed%20time%20at%20D7%20%28-20%5Cu00a0%5Cu00b1%5Cu00a06%25%29%20and%20D14%20%28-12%5Cu00a0%5Cu00b1%5Cu00a05%25%29.%20Although%20muscle%20activation%20was%20statistically%20detected%20through%20T2%20increase%20at%20POST%20in%20superficial%20parts%20of%20the%20two%20muscles%20located%20beneath%20the%20stimulation%20electrodes%20%28i.e.%20vastus%20lateralis%20and%20vastus%20medialis%29%2C%20alterations%20quantified%20in%20a%20delayed%20time%20from%20increased%20T2%20were%20mainly%20located%20in%20the%20deep%20muscle%20region%20of%20the%20vastus%20lateralis%20%28%2B57%5Cu00a0%5Cu00b1%5Cu00a024%25%20of%20mean%20T2%20%29%20and%20superficial%20area%20of%20the%20vastus%20medialis%20%28%2B24%5Cu00a0%5Cu00b1%5Cu00a016%25%20of%20mean%20T2%20%29%20at%20D7%20and%20were%20still%20observed%20in%20whole%20muscle%20at%20D21.%20The%20discrepancy%20between%20activated%20and%20damaged%20areas%20in%20the%20vastus%20lateralis%20implies%20that%20tissues%20other%20than%20active%20skeletal%20muscle%20fibres%20were%20altered%20during%20unaccustomed%20NMES-induced%20isomeric%20contractions.%22%2C%22date%22%3A%22Aug%202019%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1113%5C%2FJP278205%22%2C%22ISSN%22%3A%221469-7793%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%226XQENTHJ%22%2C%22NW6SZQBR%22%2C%226M38MJ3E%22%2C%2248SZ2I24%22%2C%225P5FWCR9%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-09-16T13%3A08%3A35Z%22%7D%7D%2C%7B%22key%22%3A%226GXBKR7G%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Warnez-Soulie%20et%20al.%22%2C%22parsedDate%22%3A%222019-05%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EWarnez-Soulie%2C%20J.%2C%20Macia%2C%20M.%2C%20Lac%2C%20S.%2C%20Pecchi%2C%20E.%2C%20Bernard%2C%20M.%2C%20Bendahan%2C%20D.%2C%20Bartoli%2C%20M.%2C%20Carrier%2C%20A.%20and%20Giannesini%2C%20B.%20%282019%29%20%26%23x2018%3BTumor%20protein%2053-induced%20nuclear%20protein%201%20deficiency%20alters%20mouse%20gastrocnemius%20muscle%20function%20and%20bioenergetics%20in%26%23xA0%3Bvivo%26%23x2019%3B%2C%20%3Ci%3EPhysiological%20Reports%3C%5C%2Fi%3E%2C%207%2810%29%2C%20p.%20e14055.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.14814%5C%2Fphy2.14055%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.14814%5C%2Fphy2.14055%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Tumor%20protein%2053-induced%20nuclear%20protein%201%20deficiency%20alters%20mouse%20gastrocnemius%20muscle%20function%20and%20bioenergetics%20in%5Cu00a0vivo%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julie%22%2C%22lastName%22%3A%22Warnez-Soulie%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Macia%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Lac%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Emilie%22%2C%22lastName%22%3A%22Pecchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Monique%22%2C%22lastName%22%3A%22Bernard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc%22%2C%22lastName%22%3A%22Bartoli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alice%22%2C%22lastName%22%3A%22Carrier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Beno%5Cu00eet%22%2C%22lastName%22%3A%22Giannesini%22%7D%5D%2C%22abstractNote%22%3A%22Tumor%20protein%2053-induced%20nuclear%20protein%201%20%28TP53INP1%29%20deficiency%20leads%20to%20oxidative%20stress-associated%20obesity%20and%20insulin%20resistance.%20Although%20skeletal%20muscle%20has%20a%20predominant%20role%20in%20the%20development%20of%20metabolic%20syndrome%2C%20the%20bioenergetics%20and%20functional%20consequences%20of%20TP53INP1%20deficiency%20upon%20this%20tissue%20remain%20undocumented.%20To%20clarify%20this%20issue%2C%20gastrocnemius%20muscle%20mechanical%20performance%2C%20energy%20metabolism%2C%20and%20anatomy%20were%20investigated%20in%20TP53INP1-deficient%20and%20wild-type%20mice%20using%20a%20multidisciplinary%20approach%20implementing%20noninvasive%20multimodal-NMR%20techniques.%20TP53INP1%20deficiency%20increased%20body%20adiposity%20but%20did%20not%20affect%20cytosolic%20oxidative%20stress%2C%20lipid%20content%2C%20and%20mitochondrial%20pool%20and%20capacity%20in%20myocyte.%20During%20a%20fatiguing%20bout%20of%20exercise%2C%20the%20in%5Cu00a0vivo%20oxidative%20ATP%20synthesis%20capacity%20was%20dramatically%20reduced%20in%20TP53INP1-deficient%20mice%20despite%20ADP%20level%20%28the%20main%20in%5Cu00a0vivo%20stimulator%20of%20mitochondrial%20respiration%29%20did%20not%20differ%20between%20both%20genotypes.%20Moreover%2C%20TP53INP1%20deficiency%20did%20not%20alter%20fatigue%20resistance%20but%20paradoxically%20increased%20the%20contractile%20force%2C%20whereas%20there%20were%20no%20differences%20for%20muscle%20fiber-type%20distribution%20and%20calcium%20homeostasis%20between%20both%20genotypes.%20In%20addition%2C%20muscle%20proton%20efflux%20was%20decreased%20in%20TP53INP1-deficient%20mice%2C%20thereby%20indicating%20a%20reduced%20blood%20supply.%20In%20conclusion%2C%20TP53INP1%20plays%20a%20role%20in%20muscle%20function%20and%20bioenergetics%20through%20oxidative%20capacity%20impairment%20possibly%20as%20the%20consequence%20of%20abnormal%20mitochondrial%20respiration%20regulation%20and%5C%2For%20defective%20blood%20supply.%22%2C%22date%22%3A%22May%202019%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.14814%5C%2Fphy2.14055%22%2C%22ISSN%22%3A%222051-817X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%225Z6CVJGB%22%2C%22NW6SZQBR%22%2C%226DHTGFMA%22%2C%22ADCRQM9R%22%2C%22XFDDFPPR%22%5D%2C%22dateModified%22%3A%222024-11-21T08%3A41%3A05Z%22%7D%7D%2C%7B%22key%22%3A%227Z8AKXLC%22%2C%22library%22%3A%7B%22id%22%3A180164%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Cammilleri%20et%20al.%22%2C%22parsedDate%22%3A%222019-05%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ECammilleri%2C%20S.%2C%20Gabriel%2C%20S.%2C%20Le%20Troter%2C%20A.%2C%20Chagnaud%2C%20C.%2C%20Mattei%2C%20J.P.%2C%20Bendahan%2C%20D.%20and%20Guis%2C%20S.%20%282019%29%20%26%23x2018%3BKnee%20psoriatic%20enthesitis%20assessed%20using%20positron%20emission%20tomography%20%28PET%29%20-%20FNa%20merged%20to%20ultrahigh%20field%20magnetic%20resonance%20imaging%20%28UHF-MRI%29%26%23x2019%3B%2C%20%3Ci%3EJoint%20Bone%20Spine%3C%5C%2Fi%3E%2C%2086%283%29%2C%20pp.%20387%26%23x2013%3B388.%20Available%20at%3A%20%3Ca%20class%3D%27zp-DOIURL%27%20href%3D%27https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.jbspin.2019.01.002%27%3Ehttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.jbspin.2019.01.002%3C%5C%2Fa%3E.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Knee%20psoriatic%20enthesitis%20assessed%20using%20positron%20emission%20tomography%20%28PET%29%20-%20FNa%20merged%20to%20ultrahigh%20field%20magnetic%20resonance%20imaging%20%28UHF-MRI%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Serge%22%2C%22lastName%22%3A%22Cammilleri%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophie%22%2C%22lastName%22%3A%22Gabriel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Le%20Troter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christophe%22%2C%22lastName%22%3A%22Chagnaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean%20Pierre%22%2C%22lastName%22%3A%22Mattei%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bendahan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sandrine%22%2C%22lastName%22%3A%22Guis%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%22MAY%202019%22%2C%22language%22%3A%22English%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.jbspin.2019.01.002%22%2C%22ISSN%22%3A%221297-319X%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%226BEMAGEW%22%2C%225P5FWCR9%22%5D%2C%22dateModified%22%3A%222024-10-29T10%3A45%3A30Z%22%7D%7D%5D%7D
Martin, S., André, R., Trabelsi, A., Michel, C.P., Fortanier, E., Attarian, S., Guye, M., Dubois, M., Abdeddaim, R. and Bendahan, D. (2025) ‘Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases’, Magma (New York, N.Y.) [Preprint]. Available at: https://doi.org/10.1007/s10334-024-01221-3.
Joppin, V., Jourdan, A., Bendahan, D., Soucasse, A., Guye, M., Masson, C. and Bège, T. (2024) ‘Towards a better understanding of abdominal wall biomechanics: In vivo relationship between dynamic intra-abdominal pressure and magnetic resonance imaging measurements’, Clinical Biomechanics (Bristol, Avon), 121, p. 106396. Available at: https://doi.org/10.1016/j.clinbiomech.2024.106396.
Matias, A.A., Serviente, C.F., Decker, S.T., Erol, M.E., Giuriato, G., Le Fur, Y., Nagarajan, R., Bendahan, D. and Layec, G. (2024) ‘Repeatability of alkaline inorganic phosphate quantification in the skeletal muscle using 31P-magnetic resonance spectroscopy at 3 T’, NMR in biomedicine, p. e5255. Available at: https://doi.org/10.1002/nbm.5255.
Macchi, R., Kunimasa, Y., Chavet, P., Corcelle, B., Pomportes, L., Fazzari, C., Hays, A., Vercruyssen, F., Rossi, F., Bendahan, D. and Nicol, C. (2024) ‘Effect of a graded running race on lower limb muscle damage, jump performance and muscle soreness in men and women’, Scandinavian Journal of Medicine & Science in Sports, 34(5), p. e14643. Available at: https://doi.org/10.1111/sms.14643.
Michel, C.P., Messonnier, L.A., Giannesini, B., Vilmen, C., Sourdon, J., Le Fur, Y. and Bendahan, D. (2024) ‘Endurance training and hydroxyurea have synergistic effects on muscle function and energetics in sickle cell disease mice’, Blood Cells, Molecules & Diseases, 107, p. 102853. Available at: https://doi.org/10.1016/j.bcmd.2024.102853.
Brui, E.A., Badrieva, Z., de Mayenne, C.-A., Rapacchi, S., Troalen, T. and Bendahan, D. (2024) ‘Mitigating slice cross-talk in multi-slice multi-echo spin echo T2 mapping’, Magnetic Resonance in Medicine, 91(5), pp. 2089–2103. Available at: https://doi.org/10.1002/mrm.29987.
Guenoun, D., Wirth, T., Roche, D., Michel, C.P., Daudé, P., Ogier, A.C., Chagnaud, C., Mattei, J.P., Pini, L., Guye, M., Ollivier, M., Bendahan, D. and Guis, S. (2023) ‘Ultra-high field magnetic resonance imaging of the quadriceps tendon enthesis in healthy subjects’, Surgical and Radiologic Anatomy, 45(8), pp. 1049–1054. Available at: https://doi.org/10.1007/s00276-023-03175-y.
Vladimirov, N., Brui, E., Levchuk, A., Al-Haidri, W., Fokin, V., Efimtcev, A. and Bendahan, D. (2023) ‘CNN-based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures’, Magnetic Resonance in Medicine, 90(2), pp. 737–751. Available at: https://doi.org/10.1002/mrm.29671.
Michel, C.P., Bendahan, D., Giannesini, B., Vilmen, C., Le Fur, Y. and Messonnier, L.A. (2023) ‘Effects of hydroxyurea on skeletal muscle energetics and force production in a sickle cell disease murine model’, Journal of Applied Physiology, 134(2), pp. 415–425. Available at: https://doi.org/10.1152/japplphysiol.00333.2022.
Heskamp, L., Ogier, A., Bendahan, D. and Heerschap, A. (2023) ‘Author Correction: Whole-muscle fat analysis identifies distal muscle end as disease initiation site in facioscapulohumeral muscular dystrophy’, Communications Medicine, 3(1), p. 6. Available at: https://doi.org/10.1038/s43856-023-00236-6.
Durelle, C., Delmont, E., Michel, C., Trabelsi, A., Hostin, M.-A., Ogier, A., Bendahan, D. and Attarian, S. (2023) ‘Quantification of muscle involvement in familial amyloid polyneuropathy using MRI’, European Journal of Neurology, 30(10), pp. 3286–3295. Available at: https://doi.org/10.1111/ene.15970.
Hostin, M.-A., Ogier, A.C., Michel, C.P., Le Fur, Y., Guye, M., Attarian, S., Fortanier, E., Bellemare, M.-E. and Bendahan, D. (2023) ‘The Impact of Fatty Infiltration on MRI Segmentation of Lower Limb Muscles in Neuromuscular Diseases: A Comparative Study of Deep Learning Approaches’, Journal of Magnetic Resonance Imaging, 58(6), pp. 1826–1835. Available at: https://doi.org/10.1002/jmri.28708.
Nassar, J., Trabelsi, A., Amer, R., Le Fur, Y., Attarian, S., Radunsky, D., Blumenfeld-Katzir, T., Greenspan, H., Bendahan, D. and Ben-Eliezer, N. (2023) ‘Estimation of subvoxel fat infiltration in neurodegenerative muscle disorders using quantitative multi-T2 analysis’, NMR in Biomedicine, 36(9), p. e4947. Available at: https://doi.org/10.1002/nbm.4947.
Poullain, F., Champsaur, P., Pauly, V., Knoepflin, P., Le Corroller, T., Creze, M., Pithioux, M., Bendahan, D. and Guenoun, D. (2022) ‘Vertebral trabecular bone texture analysis in opportunistic MRI and CT scan can distinguish patients with and without osteoporotic vertebral fracture: A preliminary study’, European Journal of Radiology, 158, p. 110642. Available at: https://doi.org/10.1016/j.ejrad.2022.110642.
Heskamp, L., Ogier, A., Bendahan, D. and Heerschap, A. (2022) ‘Whole-muscle fat analysis identifies distal muscle end as disease initiation site in facioscapulohumeral muscular dystrophy’, Communications Medicine, 2(1), p. 155. Available at: https://doi.org/10.1038/s43856-022-00217-1.
Knoepflin, P., Pithioux, M., Bendahan, D., Poullain, F., Le Corroller, T., Fabre, C., Pauly, V., Creze, M., Soldati, E., Champsaur, P. and Guenoun, D. (2022) ‘Texture Parameters Measured by UHF-MRI and CT Scan Provide Information on Bone Quality in Addition to BMD: A Biomechanical Ex Vivo Study’, Diagnostics, 12(12), p. 3143. Available at: https://doi.org/10.3390/diagnostics12123143.
Soldati, E., Roseren, F., Guenoun, D., Mancini, L., Catelli, E., Prati, S., Sciutto, G., Vicente, J., Iotti, S., Bendahan, D., Malucelli, E. and Pithioux, M. (2022) ‘Multiscale Femoral Neck Imaging and Multimodal Trabeculae Quality Characterization in an Osteoporotic Bone Sample’, Materials (Basel, Switzerland), 15(22), p. 8048. Available at: https://doi.org/10.3390/ma15228048.
Mayoly, A., Witters, M., Jouve, E., Bec, C., Iniesta, A., Kachouh, N., Veran, J., Grimaud, F., Zavarro, A.C., Fernandez, R., Bendahan, D., Giraudo, L., Dumoulin, C., Chagnaud, C., Casanova, D., Sabatier, F., Legré, R., Jaloux, C. and Magalon, J. (2022) ‘Intra Articular Injection of Autologous Microfat and Platelets-Rich Plasma in the Treatment of Wrist Osteoarthritis: A Pilot Study’, Journal of Clinical Medicine, 11(19), p. 5786. Available at: https://doi.org/10.3390/jcm11195786.
Meimoun, L., Pecchi, É., Vilmen, C., Bendahan, D. and Giannesini, B. (2022) ‘Effect of citrulline malate supplementation on muscle function and bioenergetics during short-term repeated bouts of fatiguing exercise’, Journal of Sports Sciences, 40(17), pp. 1981–1990. Available at: https://doi.org/10.1080/02640414.2022.2123527.
Amer, R., Nassar, J., Trabelsi, A., Bendahan, D., Greenspan, H. and Ben-Eliezer, N. (2022) ‘Quantification of Intra-Muscular Adipose Infiltration in Calf/Thigh MRI Using Fully and Weakly Supervised Semantic Segmentation’, Bioengineering, 9(7), p. 315. Available at: https://doi.org/10.3390/bioengineering9070315.
Shpringer, G., Bendahan, D. and Ben-Eliezer, N. (2022) ‘Accelerated reconstruction of dictionary-based T2 relaxation maps based on dictionary compression and gradient descent search algorithms’, Magnetic Resonance Imaging, 87, pp. 56–66. Available at: https://doi.org/10.1016/j.mri.2021.12.006.
Jourdan, A., Rapacchi, S., Guye, M., Bendahan, D., Masson, C. and Bège, T. (2022) ‘Dynamic-MRI quantification of abdominal wall motion and deformation during breathing and muscular contraction’, Computer Methods and Programs in Biomedicine, 217, p. 106667. Available at: https://doi.org/10.1016/j.cmpb.2022.106667.
Trojani, M.-C., Chorin, F., Gerus, P., Breuil, V., Michel, C., Guis, S., Bendahan, D. and Roux, C. (2022) ‘Concentric or eccentric physical activity for patients with symptomatic osteoarthritis of the knee: a randomized prospective study’, Therapeutic Advances in Musculoskeletal Disease, 14, p. 1759720X221102805. Available at: https://doi.org/10.1177/1759720X221102805.
Michel, C.P., Messonnier, L.A., Giannesini, B., Chatel, B., Vilmen, C., Le Fur, Y. and Bendahan, D. (2022) ‘Effects of Hydroxyurea on Skeletal Muscle Energetics and Function in a Mildly Anemic Mouse Model’, Frontiers in Physiology, 13, p. 915640. Available at: https://doi.org/10.3389/fphys.2022.915640.
Brui, E.A., Rapacchi, S., Bendahan, D. and Andreychenko, A.E. (2021) ‘Comparative analysis of SINC-shaped and SLR pulses performance for contiguous multi-slice fast spin-echo imaging using metamaterial-based MRI’, Magnetic Resonance Materials in Physics, Biology and Medicine, 34(6), pp. 929–938. Available at: https://doi.org/10.1007/s10334-021-00937-w.
Park, J.M., Josan, S., Hurd, R.E., Graham, J., Havel, P.J., Bendahan, D., Mayer, D., Chung, Y., Spielman, D.M. and Jue, T. (2021) ‘Hyperpolarized NMR study of the impact of pyruvate dehydrogenase kinase inhibition on the pyruvate dehydrogenase and TCA flux in type 2 diabetic rat muscle’, Pflügers Archiv - European Journal of Physiology, 473(11), pp. 1761–1773. Available at: https://doi.org/10.1007/s00424-021-02613-3.
Chatel, B., Ducreux, S., Harhous, Z., Bendridi, N., Varlet, I., Ogier, A.C., Bernard, M., Gondin, J., Rieusset, J., Westerblad, H., Bendahan, D. and Gineste, C. (2021) ‘Impaired aerobic capacity and premature fatigue preceding muscle weakness in the skeletal muscle Tfam-knockout mouse model’, Disease Models & Mechanisms, 14(9), p. dmm048981. Available at: https://doi.org/10.1242/dmm.048981.
Soldati, E., Vicente, J., Guenoun, D., Bendahan, D. and Pithioux, M. (2021) ‘Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI’, Diagnostics (Basel, Switzerland), 11(9), p. 1603. Available at: https://doi.org/10.3390/diagnostics11091603.
Fournel, J., Bartoli, A., Bendahan, D., Guye, M., Bernard, M., Rauseo, E., Khanji, M.Y., Petersen, S.E., Jacquier, A. and Ghattas, B. (2021) ‘Medical image segmentation automatic quality control: A multi-dimensional approach’, Medical Image Analysis, 74, p. 102213. Available at: https://doi.org/10.1016/j.media.2021.102213.
de Winter, J.M., Gineste, C., Minardi, E., Brocca, L., Rossi, M., Borsboom, T., Beggs, A.H., Bernard, M., Bendahan, D., Hwee, D.T., Malik, F.I., Pellegrino, M.A., Bottinelli, R., Gondin, J. and Ottenheijm, C.A.C. (2021) ‘Acute and chronic tirasemtiv treatment improves in vivo and in vitro muscle performance in actin-based nemaline myopathy mice’, Human Molecular Genetics, 30(14), pp. 1305–1320. Available at: https://doi.org/10.1093/hmg/ddab112.
Soldati, E., Rossi, F., Vicente, J., Guenoun, D., Pithioux, M., Iotti, S., Malucelli, E. and Bendahan, D. (2021) ‘Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure’, International Journal of Molecular Sciences, 22(5), p. 2509. Available at: https://doi.org/10.3390/ijms22052509.
Chatel, B., Bernit, E., Vilmen, C., Michel, C., Bendahan, D. and Messonnier, L.A. (2021) ‘In vivo muscle function and energetics in women with sickle cell anemia or trait: a 31P-magnetic resonance spectroscopy study’, Journal of Applied Physiology (Bethesda, Md.: 1985), 130(3), pp. 737–745. Available at: https://doi.org/10.1152/japplphysiol.00790.2020.
Secondulfo, L., Ogier, A.C., Monte, J.R., Aengevaeren, V.L., Bendahan, D., Nederveen, A.J., Strijkers, G.J. and Hooijmans, M.T. (2021) ‘Supervised segmentation framework for evaluation of diffusion tensor imaging indices in skeletal muscle’, NMR in biomedicine, 34(1), p. e4406. Available at: https://doi.org/10.1002/nbm.4406.
Jourdan, A., Le Troter, A., Daude, P., Rapacchi, S., Masson, C., Bège, T. and Bendahan, D. (2021) ‘Semiautomatic quantification of abdominal wall muscles deformations based on dynamic MRI image registration’, NMR in Biomedicine, 34(4), p. e4470. Available at: https://doi.org/10.1002/nbm.4470.
Ogier, A.C., Hostin, M.-A., Bellemare, M.-E. and Bendahan, D. (2021) ‘Overview of MR Image Segmentation Strategies in Neuromuscular Disorders’, Frontiers in Neurology, 12, p. 625308. Available at: https://doi.org/10.3389/fneur.2021.625308.
Soldati, E., Escoffier, L., Gabriel, S., Ogier, A.C., Chagnaud, C., Mattei, J.P., Cammilleri, S., Bendahan, D. and Guis, S. (2021) ‘Assessment of in vivo bone microarchitecture changes in an anti-TNFα treated psoriatic arthritic patient’, PloS One, 16(5), p. e0251788. Available at: https://doi.org/10.1371/journal.pone.0251788.
Pelletier, L., Petiot, A., Brocard, J., Giannesini, B., Giovannini, D., Sanchez, C., Travard, L., Chivet, M., Beaufils, M., Kutchukian, C., Bendahan, D., Metzger, D., Franzini Armstrong, C., Romero, N.B., Rendu, J., Jacquemond, V., Fauré, J. and Marty, I. (2020) ‘In vivo RyR1 reduction in muscle triggers a core-like myopathy’, Acta Neuropathologica Communications, 8(1), p. 192. Available at: https://doi.org/10.1186/s40478-020-01068-4.
Fortanier, E., Ogier, A.C., Delmont, E., Lefebvre, M.-N., Viout, P., Guye, M., Bendahan, D. and Attarian, S. (2020) ‘Quantitative assessment of sciatic nerve changes in Charcot-Marie-Tooth type 1A patients using magnetic resonance neurography’, European Journal of Neurology, 27(8), pp. 1382–1389. Available at: https://doi.org/10.1111/ene.14303.
Brui, E., Efimtcev, A.Y., Fokin, V.A., Fernandez, R., Levchuk, A.G., Ogier, A.C., Samsonov, A.A., Mattei, J.P., Melchakova, I.V., Bendahan, D. and Andreychenko, A. (2020) ‘Deep learning-based fully automatic segmentation of wrist cartilage in MR images’, NMR in biomedicine, 33(8), p. e4320. Available at: https://doi.org/10.1002/nbm.4320.
Ogier, A.C., Heskamp, L., Michel, C.P., Fouré, A., Bellemare, M.-E., Le Troter, A., Heerschap, A. and Bendahan, D. (2020) ‘A novel segmentation framework dedicated to the follow-up of fat infiltration in individual muscles of patients with neuromuscular disorders’, Magnetic Resonance in Medicine, 83(5), pp. 1825–1836. Available at: https://doi.org/10.1002/mrm.28030.
Fouré, A., Ogier, A.C., Guye, M., Gondin, J. and Bendahan, D. (2020) ‘Muscle alterations induced by electrostimulation are lower at short quadriceps femoris length’, European Journal of Applied Physiology, 120(2), pp. 325–335. Available at: https://doi.org/10.1007/s00421-019-04277-5.
Guenoun, D., Pithioux, M., Souplet, J.-C., Guis, S., Le Corroller, T., Fouré, A., Pauly, V., Mattei, J.-P., Bernard, M., Guye, M., Chabrand, P., Champsaur, P. and Bendahan, D. (2020) ‘Assessment of proximal femur microarchitecture using ultra-high field MRI at 7 Tesla’, Diagnostic and Interventional Imaging, 101(1), pp. 45–53. Available at: https://doi.org/10.1016/j.diii.2019.06.013.
Hurshkainen, A., Dubois, M., Nikulin, A., Vilmen, C., Bendahan, D., Enoch, S., Glybovski, S. and Abdeddaim, R. (2020) ‘Radio Frequency Coil for Dual-Nuclei MR Muscle Energetics Investigation Based on Two Capacitively Coupled Periodic Wire Arrays’, IEEE Antennas and Wireless Propagation Letters, 19(5), pp. 721–725. Available at: https://doi.org/10.1109/LAWP.2019.2960610.
Ansari, B., Salort-Campana, E., Ogier, A., Le Troter PhD, A., De Sainte Marie, B., Guye, M., Delmont, E., Grapperon, A.-M., Verschueren, A., Bendahan, D. and Attarian, S. (2020) ‘Quantitative muscle MRI study of patients with sporadic inclusion body myositis’, Muscle & Nerve, 61(4), pp. 496–503. Available at: https://doi.org/10.1002/mus.26813.
Bas, J., Ogier, A.C., Le Troter, A., Delmont, E., Leporq, B., Pini, L., Guye, M., Parlanti, A., Lefebvre, M.-N., Bendahan, D. and Attarian, S. (2020) ‘Fat fraction distribution in lower limb muscles of patients with CMT1A: A quantitative MRI study’, Neurology, 94(14), pp. e1480–e1487. Available at: https://doi.org/10.1212/WNL.0000000000009013.
Gineste, C., Ogier, A.C., Varlet, I., Hourani, Z., Bernard, M., Granzier, H., Bendahan, D. and Gondin, J. (2020) ‘In vivo characterization of skeletal muscle function in nebulin-deficient mice’, Muscle & Nerve, 61(3), pp. 416–424. Available at: https://doi.org/10.1002/mus.26798.
Felici, F., Scemama, U., Bendahan, D., Lavieille, J.-P., Moulin, G., Chagnaud, C., Montava, M. and Varoquaux, A. (2019) ‘Improved Assessment of Middle Ear Recurrent Cholesteatomas Using a Fusion of Conventional CT and Non-EPI-DWI MRI’, AJNR. American journal of neuroradiology, 40(9), pp. 1546–1551. Available at: https://doi.org/10.3174/ajnr.A6141.
Fouré, A., Le Troter, A., Ogier, A.C., Guye, M., Gondin, J. and Bendahan, D. (2019) ‘Spatial difference can occur between activated and damaged muscle areas following electrically-induced isometric contractions’, The Journal of Physiology, 597(16), pp. 4227–4236. Available at: https://doi.org/10.1113/JP278205.
Warnez-Soulie, J., Macia, M., Lac, S., Pecchi, E., Bernard, M., Bendahan, D., Bartoli, M., Carrier, A. and Giannesini, B. (2019) ‘Tumor protein 53-induced nuclear protein 1 deficiency alters mouse gastrocnemius muscle function and bioenergetics in vivo’, Physiological Reports, 7(10), p. e14055. Available at: https://doi.org/10.14814/phy2.14055.
Cammilleri, S., Gabriel, S., Le Troter, A., Chagnaud, C., Mattei, J.P., Bendahan, D. and Guis, S. (2019) ‘Knee psoriatic enthesitis assessed using positron emission tomography (PET) - FNa merged to ultrahigh field magnetic resonance imaging (UHF-MRI)’, Joint Bone Spine, 86(3), pp. 387–388. Available at: https://doi.org/10.1016/j.jbspin.2019.01.002.