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The Sensitivity and Specificity of Split-Hand Index Using Muscle Sonography

Canadian Journal of Neurological Sciences(2022)SCI 4区

Tel Aviv Sourasky Med Ctr | Ellen and Martin Prosserman Centre for Neuromuscular Diseases

Cited 0|Views21
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.
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SHI,muscle ultrasound,ALS,SMA,polyneuropathy,myopathy
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要点】:本研究探讨了使用肌肉超声技术计算的分指指数(SHI)在诊断肌萎缩性侧索硬化症(ALS)和脊髓性肌肉萎缩症(SMA)中的特异性和敏感性,发现其对区分患者与健康对照具有良好准确性,但对区分不同患者亚组特异性较低。

方法】:通过肌肉超声技术对健康对照和ALS、SMA、多发性神经病、肌病等患者进行定量肌肉厚度评估。

实验】:在多伦多总医院神经肌肉诊所前瞻性招募65名健康对照,在特拉维夫索拉斯基医疗中心神经肌肉诊所前瞻性招募181名患者(包括91名ALS患者、33名SMA患者、35名多发性神经病患者、22名肌病患者),使用肌肉超声技术评估右手的APB、FDI和ADM肌肉厚度,计算AUC、敏感性和特异性。结果显示,SHI在区分患者与健康对照时具有良好的准确性(AUC 0.83–0.92),但在区分不同患者亚组时准确性较差(AUC 0.54–0.74)。