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MScanFit 对斜方肌运动单位数量估计的可靠性

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

作者信息

Sørensen Daniel Mosgaard, Tankisi Hatice

机构信息

Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark.

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

出版信息

Muscle Nerve. 2025 Feb;71(2):166-170. doi: 10.1002/mus.28303. Epub 2024 Nov 27.

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.

摘要

引言/目的:MScanFit运动单位数量估计(MUNE)是最新的MUNE方法,已在四肢肌肉中显示出有前景的结果,但尚未应用于延髓肌。延髓肌在肌萎缩侧索硬化症(ALS)的诊断中尤为重要。本研究旨在探讨MScanFit MUNE在副神经和斜方肌中的可行性和可靠性。

方法

共有20名健康参与者在1-2周内接受了两次检查。我们提取了MScanFit MUNE、大小参数和复合肌肉动作电位(CMAP)振幅值。使用评分者内变异系数(CoV)、组内相关系数(ICC)和Bland-Altman图评估这些参数的可靠性。我们还使用相关系数将MUNE值与CMAP振幅进行关联。

结果

两次检查之间的平均MUNE值(第1天=132.1,第2天=137.4)、CMAP振幅(第1天=9.71mV,第2天=10.10mV)和大小参数没有差异(p>0.05)。CoV显示MUNE值、大小参数和CMAP振幅具有出色的可靠性(CoV<7%),而ICC显示MUNE值具有中等可靠性(ICC=0.619),大小参数具有较差至中等的可靠性(介于0.393和0.689之间),CMAP振幅具有良好的可靠性(ICC=0.864)。MUNE值与CMAP振幅之间没有相关性。

讨论

MScanFit MUNE适用于斜方肌且大多可靠。需要对患者进行进一步研究,以调查MScanFit在该肌肉中检测运动单位丢失的敏感性,特别是在ALS中。

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