Zhang Xinpei, Zhang Li, Sun Yang, Li Tao, Zhou Mouwang
Department of Rehabilitation Medicine, Peking University Third Hospital, Beijing, China.
Department of Ultrasound, Peking University Third Hospital, Beijing, China.
Front Physiol. 2023 Mar 8;14:907337. doi: 10.3389/fphys.2023.907337. eCollection 2023.
This study aims to use shear wave elastography (SWE) to dynamically describe the characteristics of biceps brachii muscle stiffness during passive stretching in healthy participants, investigate changes in the Young's modulus-angle curve under various states of muscle tone in stroke patients, and develop a new method for measuring muscle tone quantitatively. In total, 30 healthy volunteers and 54 stroke patients were evaluated for elbow flexor muscle tone on both sides using passive motion examination and were divided into groups based on their muscle tone status. The real-time SWE video of the biceps brachii and the Young's modulus data were recorded during the passive straightening of the elbow. The Young's modulus-elbow angle curves were created and fitted using an exponential model. The parameters yielded from the model were subjected to further intergroup analysis. The repeatability of the Young's modulus measurement was generally good. During passive elbow extension, the Young's modulus of the biceps brachii steadily increased as muscle tone increased, and it increased faster when the modified Ashworth scale (MAS) score got higher. The exponential model's fitness was generally good. The curvature coefficient was significantly different between the MAS 0 group and the hypertonia groups (MAS 1, 1+, and 2 groups). The passive elastic characteristics of the biceps brachii are consistent with the exponential model. The Young's modulus-elbow angle curve of the biceps brachii changes in distinct ways depending on the muscle tone status. SWE can be used to quantify muscular stiffness during passive stretching as a new way of muscle tone evaluation, allowing for quantitative muscle tone evaluation and mathematical assessment of muscle mechanical properties in stroke patients.
本研究旨在利用剪切波弹性成像(SWE)动态描述健康受试者在被动拉伸过程中肱二头肌肌肉僵硬度的特征,研究中风患者在不同肌张力状态下杨氏模量-角度曲线的变化,并开发一种定量测量肌张力的新方法。总共30名健康志愿者和54名中风患者通过被动运动检查对双侧肘屈肌肌张力进行评估,并根据其肌张力状态分组。在肘关节被动伸直过程中记录肱二头肌的实时SWE视频和杨氏模量数据。使用指数模型创建并拟合杨氏模量-肘关节角度曲线。对模型得出的参数进行进一步的组间分析。杨氏模量测量的重复性总体良好。在肘关节被动伸展过程中,肱二头肌的杨氏模量随着肌张力增加而稳步上升,且改良Ashworth量表(MAS)评分越高上升越快。指数模型的拟合度总体良好。MAS 0组与高张力组(MAS 1、1+和2组)之间的曲率系数有显著差异。肱二头肌的被动弹性特征与指数模型一致。肱二头肌的杨氏模量-肘关节角度曲线根据肌张力状态以不同方式变化。SWE可作为一种新的肌张力评估方法用于量化被动拉伸过程中的肌肉僵硬度,从而实现中风患者肌张力的定量评估以及肌肉力学特性的数学评估。