How useful is muscle ultrasound in the diagnostic workup of neuromuscular diseases?. Issue 5 (October 2018)

• Record Type: Journal Article
• Authors: van Alfen, Nens; Gijsbertse, Kaj; de Korte, Chris L.
• Is Part Of: Current opinion in neurology. Volume 31:Issue 5(2018)
• Publication Date: 2018-10
• Subjects: elastography -- muscle ultrasound -- neuromuscular disorders -- quantitative ultrasound -- speckle tracking; Neurology -- Periodicals; Nervous system -- Diseases -- Periodicals; 616.805
• DOI: 10.1097/WCO.0000000000000589
• Languages: English
• ISSNs: 1473-6551

Abstract

Abstract : Purpose of review: This review focuses on developments in muscle ultrasound as a noninvasive and accurate tool for the diagnosis and follow-up of neuromuscular disease. It discusses current muscle ultrasound applications with already proven clinical value, and highlights recent technical developments that may further advance muscle ultrasounds' diagnostic qualities. Recent findings: The sensitivity and specificity of muscle ultrasound for detecting a neuromuscular disorder are high (90–95%), and quantitative ultrasound is well suited to monitor disease progression in several disorders. Adding ultrasound to electromyography significantly improves diagnostic certainty in patients with suspected motor neuron disease, and ultrasound increases the detection of fasciculations with 30–50%. New developments include speckle tracking of tissue motion to quantify diaphragm excursions and diminished muscle contractility in dystrophy, and strain elastography to detect changes in muscle stiffness and anisotropy during contraction and in disease states. Deep learning algorithms are being developed to predict the presence of a muscle disease and differentiate between disorders. Summary: Muscle ultrasound is excellent for screening, diagnosing, and follow-up of neuromuscular disease. New developments are underway to automate and objectify the diagnostic process, and to quantify tissue motion that can provide new insights in pathophysiology and serve as a biomarker.