Literature DB >> 30265406

Magnetic resonance imaging of the anterior compartment of the lower leg is a biomarker for weakness, disability, and impaired gait in childhood Charcot-Marie-Tooth disease.

Kayla M D Cornett1,2, Elizabeth Wojciechowski1,2, Amy D Sman3,4, Terri Walker4, Manoj P Menezes1, Paula Bray1, Mark Halaki2, Joshua Burns1,2.   

Abstract

INTRODUCTION: Biomarkers of disease severity in Charcot-Marie-Tooth disease (CMT) are required to evaluate early responses to treatment. In this study we used magnetic resonance imaging (MRI) to evaluate the relationship between muscle volume and intramuscular fat accumulation with weakness, disability, and impaired gait in affected children and adolescents.
METHODS: Fifty-five participants underwent MRI of the anterior compartment of the lower leg. Muscle and fat volumes were calculated. Strength was measured using hand-held dynamometry, disability using the CMT Pediatric Scale, and 3-dimensional gait analysis using an 8-camera Vicon Nexus motion capture system.
RESULTS: Lower muscle volume was significantly associated with reduced dorsiflexion strength, increased disability, impaired gait profile score, and foot drop. Intramuscular fat accumulation was associated with reduced dorsiflexion strength and impaired gait profile score. DISCUSSION: The MRI protocol described was feasible, reliable, and sensitive to the magnitude of weakness, disability, and walking difficulties in children with CMT. Muscle Nerve 59:213-217, 2019.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  3-dimensional gait analysis; Charcot-Marie-Tooth disease; MRI; musculoskeletal; pediatric

Mesh:

Year:  2018        PMID: 30265406     DOI: 10.1002/mus.26352

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  2 in total

Review 1.  Peripheral nerve magnetic resonance imaging.

Authors:  Yongsheng Chen; E Mark Haacke; Jun Li
Journal:  F1000Res       Date:  2019-10-28

2.  Clinical and Neuroimaging Features in Charcot-Marie-Tooth Patients with GDAP1 Mutations.

Authors:  Hyun Su Kim; Hye Jin Kim; Soo Hyun Nam; Sang Beom Kim; Yu Jin Choi; Kyung Suk Lee; Ki Wha Chung; Young Cheol Yoon; Byung Ok Choi
Journal:  J Clin Neurol       Date:  2021-01       Impact factor: 3.077

  2 in total

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