Reliability of MScanFit Motor Unit Number Estimation in the Trapezius Muscle.

IF 2.8 3区医学 Q2 CLINICAL NEUROLOGY

Muscle & Nerve Pub Date : 2025-02-01 Epub Date: 2024-11-27 DOI:10.1002/mus.28303

Daniel Mosgaard Sørensen, Hatice Tankisi

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引用次数: 0

Abstract

Introduction/aims: MScanFit motor unit number estimation (MUNE) is the most recent MUNE method which has shown promising results in extremity muscles, but it has not been applied to bulbar muscles. Bulbar muscles are particularly important in the diagnosis of amyotrophic lateral sclerosis (ALS). This study aimed to investigate the feasibility and reliability of MScanFit MUNE in the accessory nerve and trapezius muscles.

Methods: A total of twenty healthy participants were examined twice within 1-2 weeks. We extracted the MScanFit MUNE and size parameter, and compound muscle action potential (CMAP) amplitude values. The reliability of these parameters was assessed using the intra-rater coefficient of variation (CoV), intraclass correlation coefficient (ICC), and Bland-Altman plots. We also correlated MUNE values with CMAP amplitudes using correlation coefficients.

Results: Mean MUNE values (Day 1 = 132.1 and Day 2 = 137.4), CMAP amplitudes (Day 1 = 9.71 mV and Day 2 = 10.10 mV) and size parameters did not differ between the two sessions (p > 0.05). CoV showed excellent reliability for MUNE values, size parameters, and CMAP amplitudes (CoV < 7%) whereas ICCs showed moderate reliability for MUNE values (ICC = 0.619), poor to moderate reliability for size parameters (between 0.393 and 0.689), and good reliability for CMAP amplitude (ICC = 0.864) There was no correlation between MUNE values and CMAP amplitudes.

Discussion: MScanFit MUNE is applicable and mostly reliable in the trapezius muscle. Further studies in patients are needed to investigate the sensitivity of MScanFit in this muscle in detecting motor unit loss, particularly in ALS.

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MScanFit 估计斜方肌运动单元数量的可靠性

引言/目的：MScanFit 运动单位数量估算（MUNE）是最新的运动单位数量估算方法，在四肢肌肉中显示出良好的效果，但尚未应用于球部肌肉。球部肌肉在肌萎缩性脊髓侧索硬化症（ALS）的诊断中尤为重要。本研究旨在调查 MScanFit MUNE 在附属神经和斜方肌方面的可行性和可靠性：方法：我们在 1-2 周内对 20 名健康参与者进行了两次检查。我们提取了 MScanFit MUNE 和尺寸参数以及复合肌动势（CMAP）振幅值。我们使用评分者内部变异系数（CoV）、类内相关系数（ICC）和布兰-阿尔特曼图评估了这些参数的可靠性。我们还使用相关系数将 MUNE 值与 CMAP 振幅相关联：两个疗程的平均 MUNE 值（第 1 天 = 132.1，第 2 天 = 137.4）、CMAP 振幅（第 1 天 = 9.71 mV，第 2 天 = 10.10 mV）和大小参数没有差异（P > 0.05）。CoV 对 MUNE 值、体型参数和 CMAP 振幅显示出极佳的可靠性（CoV 讨论）：MScanFit MUNE 适用于斜方肌，且大部分情况下是可靠的。需要对患者进行进一步研究，以了解 MScanFit 在该肌肉中检测运动单位缺失（尤其是 ALS）的灵敏度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Muscle & Nerve 医学-临床神经学

CiteScore

6.40

自引率

5.90%

发文量

287

审稿时长

3-6 weeks

期刊介绍： Muscle & Nerve is an international and interdisciplinary publication of original contributions, in both health and disease, concerning studies of the muscle, the neuromuscular junction, the peripheral motor, sensory and autonomic neurons, and the central nervous system where the behavior of the peripheral nervous system is clarified. Appearing monthly, Muscle & Nerve publishes clinical studies and clinically relevant research reports in the fields of anatomy, biochemistry, cell biology, electrophysiology and electrodiagnosis, epidemiology, genetics, immunology, pathology, pharmacology, physiology, toxicology, and virology. The Journal welcomes articles and reports on basic clinical electrophysiology and electrodiagnosis. We expedite some papers dealing with timely topics to keep up with the fast-moving pace of science, based on the referees'' recommendation.