The Sensitivity and Specificity of Split-Hand Index Using Muscle Sonography. (22nd March 2023)

• Record Type: Journal Article
• Authors: Avidan, Reuven; Fainmesser, Yaara; Drory, Vivian E.; Bril, Vera; Abraham, Alon
• Is Part Of: Canadian journal of neurological sciences. Volume 50:Number 2(2023)
• Page Start: 228
• Page End: 233
• Publication Date: 2023-03-22
• Subjects: SHI -- muscle ultrasound -- ALS -- SMA -- polyneuropathy -- myopathy; Neurology -- Periodicals; Nervous system -- Surgery -- Periodicals; Electronic journals; 616.8
• DOI: 10.1017/cjn.2022.20
• Languages: English
• ISSNs: 0317-1671

Abstract

ABSTRACT: Background: The split-hand index (SHI) (first dorsal interosseous (FDI) × abductor pollicis brevis (APB)/abductor digiti minimi muscle (ADM)) has been suggested as a useful measure for amyotrophic lateral sclerosis (ALS) diagnosis, using electrophysiological and sonographic indices. In the present study, we aimed to explore the specificity of SHI derived by muscle ultrasound (MUS) for the diagnosis of ALS and spinal muscular atrophy (SMA). Methods: Healthy controls ( n = 65) were prospectively recruited at the Prosserman Family Neuromuscular clinic at Toronto General Hospital, from October to December 2018. In addition, 181 patients with ALS ( n = 91), SMA ( n = 33), polyneuropathy ( n = 35), and myopathy ( n = 22) were prospectively recruited at the neuromuscular clinic at Tel Aviv Sourasky Medical Center, from December 2018 to December 2020. All subjects underwent quantitative sonographic evaluation of muscle thickness, including the right APB, FDI, and ADM muscles. Area under curve (AUC), sensitivity, and specificity were determined for differentiating between groups. Results: Although SHI showed good to excellent accuracy for differentiating each patient subgroup from controls (AUC 0.83–0.92), poorer diagnostic accuracy was shown for differentiating between different patient subgroups (AUC 0.54–0.74). Conclusions: Sonographic SHI is useful for differentiating patients from healthy controls, but might be not specific for motor neuron disease.