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ABSTRACT: Introduction
Surface electrical impedance myography (sEIM) has the potential for providing information on muscle composition and structure noninvasively. We sought to evaluate its use to predict myofiber size and connective tissue deposition in the D2-mdx model of Duchenne muscular dystrophy (DMD).Methods
We applied a prediction algorithm, the least absolute shrinkage and selection operator, to select specific EIM measurements obtained with surface and ex vivo EIM data from D2-mdx and wild-type (WT) mice (analyzed together or separately). We assessed myofiber cross-sectional area histologically and hydroxyproline (HP), a surrogate measure for connective tissue content, biochemically.Results
Using WT and D2-mdx impedance values together in the algorithm, sEIM gave av
SUBMITTER: Pandeya SR
PROVIDER: S-EPMC8883327 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature