Role of artificial intelligence in neuromuscular and electrodiagnostic medicine

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doi:10.1002/mus.28074

Muscle and Nerve

2024

DOI: 10.1002/mus.28074

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Role of artificial intelligence in neuromuscular and electrodiagnostic medicine

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2024

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Muscle ultrasound in myopathies

Vicino,

Veltsista,

van Alfen

2024

Current Opinion in Neurology

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Purpose of review This review highlights recent developments in the field of muscle ultrasound (MUS) for the diagnosis and follow up of muscle disorders. Recent findings The diagnostic screening capacity of quantitative grayscale analysis is still sufficient to assess children suspected of a neuromuscular disorder. A combination of visual and quantitative assessment is advised for optimal interpretation. MUS was more sensitive but less specific than MRI for detecting pathology in limb girdle dystrophies and inflammatory myopathies. New techniques such as shearwave elastography and artificial intelligence algorithms for automated image segmentation show promise but need further development for use in everyday practice. Muscle ultrasound has high correlations with clinical measures of function in skeletal and respiratory muscles and the orofacial region, in most of the myopathies and dystrophies studied. Over time, imaging changes precede changes in clinical status, making them attractive for biomarker use in trials. In Duchenne muscular dystrophy MUS was also responsive to the effects of steroid treatment. Summary Muscle ultrasound is a sensitive technique to diagnose and follow up of skeletal, facial and respiratory muscles in neuromuscular disorders. Its role is both complementary to and partially overlapping with that of MRI.

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Muscle ultrasound in myopathies

Vicino,

Veltsista,

van Alfen

2024

Current Opinion in Neurology

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Role of artificial intelligence in neuromuscular and electrodiagnostic medicine

Cited by 1 publication

References 13 publications

Muscle ultrasound in myopathies

Muscle ultrasound in myopathies

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