Muscle thickness measured by ultrasound is reduced in neuromuscular disorders and correlates with clinical and electrophysiological findings.

Muscle Nerve

Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Division of Neurology, Department of Medicine, University Health Network, University of Toronto, Toronto, Canada.

Published: December 2019

AI Article Synopsis

  • Nerve imaging has limitations in assessing axonal and muscle fiber loss, prompting this study on the effectiveness of standardized muscle ultrasound (US) for evaluation.
  • A prospective study was conducted with 114 patients from a neuromuscular clinic, measuring muscle thickness in seven muscles and analyzing correlations with muscle strength and other clinical factors.
  • Results showed that muscle thickness was more reduced in patients with specific conditions, pointing to the utility of standardized US as a diagnostic tool in neuromuscular disorders, as it strongly correlates with clinical assessments and electrophysiological data.

Article Abstract

Introduction: Nerve imaging has a limited role in axonal and muscle fiber loss. In this study, we sought to explore the utility of standardized muscle ultrasound (US) assessment in these clinical scenarios.

Methods: We performed a prospective study from March to August 2018 of patients attending the neuromuscular clinic. All patients underwent clinical evaluation and standardized muscle thickness measurement by US in seven muscles.

Results: The study cohort consisted of 114 participants, including patients with polyneuropathy, motor neuron disease, and myopathy. The smallest distal muscle thickness was found in patients with polyneuropathy, while the smallest proximal muscle thickness was found in patients with myopathy. Muscle thickness was strongly correlated with muscle strength (r = 0.62), electrophysiological findings (r : 0.44-0.55), and disability score (r = 0.53).

Discussion: Standardized muscle thickness measured by US shows diagnostic usefulness in a spectrum of neuromuscular disorders and correlates with clinical and electrophysiological findings.

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Source
http://dx.doi.org/10.1002/mus.26693DOI Listing

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