Leng Yan, Wang Zhu, Bian Ruihao, Lo Wai Leung Ambrose, Xie Xiaoyan, Wang Ruoli, Huang Dongfeng, Li Le
Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Front Neurol. 2019 Jul 10;10:736. doi: 10.3389/fneur.2019.00736. eCollection 2019.
This study aims to quantify passive muscle stiffness of spastic wrist flexors in stroke survivors using shear wave elastography (SWE) and to correlate with neural and non-neural contributors estimated from a biomechanical model to hyper-resistance measured during passive wrist extension. Fifteen hemiplegic individuals after stroke with Modified Ashworth Scale (MAS) score larger than one were recruited. SWE were used to measure Young's modulus of flexor carpi radialis muscle with joint from 0° (at rest) to 50° flexion (passive stretch condition), with 10° interval. The neural (NC) and non-neural components i.e., elasticity component (EC) and viscosity component (VC) of the wrist joint were analyzed from a motorized mechanical device NeuroFlexor® (NF). Combining with a validated biomechanical model, the neural reflex and muscle stiffness contribution to the increased resistance can be estimated. MAS and Fugl-Meyer upper limb score were also measured to evaluate the spasticity and motor function of paretic upper limb. Young's modulus was significantly higher in the paretic side of flexor carpi radialis than that of the non-paretic side ( < 0.001) and it increased significantly from 0° to 50° of the paretic side ( < 0.001). NC, EC, and VC on the paretic side were higher than the non-paretic side ( < 0.05). There was moderate significant positive correlation between the Young's Modulus and EC ( = 0.565, = 0.028) and VC ( = 0.645, = 0.009) of the paretic forearm flexor muscle. Fugl-Meyer of the paretic forearm flexor has a moderate significant negative correlation with NC ( = -0.578, = 0.024). No significant correlation between MAS and shear elastic modulus or NF components was observed. This study demonstrated the feasibility of combining SWE and NF as a non-invasive approach to assess spasticity of paretic muscle and joint in stroke clinics. The neural and non-neural components analysis as well as correlation findings of muscle stiffness of SWE might provide understanding of mechanism behind the neuromuscular alterations in stroke survivors and facilitate the design of suitable intervention for them.
本研究旨在利用剪切波弹性成像(SWE)量化中风幸存者痉挛性腕屈肌的被动肌肉僵硬度,并将其与从生物力学模型估计的神经和非神经因素相关联,以了解被动腕伸展过程中测量的高阻力情况。招募了15名中风后偏瘫个体,其改良Ashworth量表(MAS)评分大于1。使用SWE测量桡侧腕屈肌在关节从0°(静止)到50°屈曲(被动拉伸状态)、间隔为10°时的杨氏模量。通过电动机械设备NeuroFlexor®(NF)分析腕关节的神经(NC)和非神经成分,即弹性成分(EC)和粘性成分(VC)。结合经过验证的生物力学模型,可以估计神经反射和肌肉僵硬度对阻力增加的贡献。还测量了MAS和Fugl-Meyer上肢评分,以评估患侧上肢的痉挛程度和运动功能。桡侧腕屈肌患侧的杨氏模量显著高于健侧(<0.001),且患侧从0°到50°显著增加(<0.001)。患侧的NC、EC和VC高于健侧(<0.05)。患侧前臂屈肌的杨氏模量与EC(=0.565,=0.028)和VC(=0.645,=0.009)之间存在中度显著正相关。患侧前臂屈肌的Fugl-Meyer与NC之间存在中度显著负相关(=-0.578,=0.024)。未观察到MAS与剪切弹性模量或NF成分之间存在显著相关性。本研究证明了将SWE和NF结合作为一种非侵入性方法在中风诊所评估患侧肌肉和关节痉挛的可行性。SWE肌肉僵硬度的神经和非神经成分分析以及相关性发现可能有助于理解中风幸存者神经肌肉改变背后的机制,并促进为他们设计合适的干预措施。