Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation

Abstract : In the present study, we proposed an original and robust methodology which combines the spatial normalization of skeletal muscle images, the statistical parametric mapping (SPM) analysis and the use of a specific parcellation in order to accurately localize and quantify the extent of skeletal muscle damage within the four heads of the quadriceps femoris. T2 maps of thigh muscles were characterized before, two (D2) and four (D4) days after 40 maximal isometric electrically-evoked contractions in 25 healthy young males. On the basis of SPM analysis of coregistrated T2 maps, the alterations were similarly detected at D2 and D4 in the superficial and distal regions of the vastus medialis (VM) whereas the proportion of altered muscle was higher in deep muscle regions of the vastus lateralis at D4 (deep: 35 ± 25%, superficial: 23 ± 15%) as compared to D2 (deep: 18 ± 13%, superficial: 17 ± 13%). The present methodology used for the first time on skeletal muscle would be of utmost interest to detect subtle intramuscular alterations not only for the diagnosis of muscular diseases but also for assessing the efficacy of potential therapeutic interventions and clinical treatment strategies.
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Alexandre Fouré, Arnaud Le Troter, Maxime Guye, Jean-Pierre Mattei, David Bendahan, et al.. Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation. Scientific Reports, Nature Publishing Group, 2015, 5 (1), pp.18580. ⟨https://www.nature.com/articles/srep18580⟩. ⟨10.1038/srep18580⟩. ⟨hal-01414356⟩

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