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功能性腘窝角试验可提高中枢神经系统病变患者短绳肌腱长度的识别能力。

Functional popliteal angle tests improve identification of short hamstring muscle-tendon length in patients with a central neurological lesion.

机构信息

Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Center for Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Sci Rep. 2023 Nov 22;13(1):20510. doi: 10.1038/s41598-023-47667-8.

Abstract

This study introduces a functional exercise protocol to improve the identification for short hamstring muscle-tendon length (HMTL), a common contributor to crouch gait in patients with central neurological lesions (CNL). The functional exercise protocol incorporates a knee extension movement with hip in a flexed position, while standing on one leg (functional popliteal angle test) and walking with large steps to the current standard protocol (walking at comfortable speed and as fast as possible). The main aim was to establish whether the new protocol allows better determination of maximum HMTLs and diagnostics of short HMTL in patients with a CNL. Lower limb 3D marker position data from 39 patient limbs and 10 healthy limbs performing the exercises were processed in OpenSim to extract HMTLs. The new protocol provoked significantly larger HMTLs compared to the current standard protocol. The total number of limbs classified as having too short HMTLs reduced from 16 to 4 out of a total of 30 limbs walking in crouch. The new protocol improves determination of maximum HMTL, thereby improving short HMTL diagnostics and identification of patients in need of lengthening treatment. Inter-individual variability observed among patients, indicating the need to include all exercises for comprehensive diagnosis.

摘要

本研究介绍了一种功能锻炼方案,以改善对短腘绳肌肌腱长度(HMTL)的识别,这是中枢神经系统病变(CNL)患者蹲伏步态的常见原因。该功能锻炼方案包括在单腿站立时使髋关节处于弯曲位置并进行膝关节伸展运动(功能性腘绳肌角度测试),以及按照当前标准方案(以舒适速度和最快速度行走)进行大步行走。主要目的是确定新方案是否可以更好地确定 CNL 患者的最大 HMTL 并诊断短 HMTL。对 39 条患者肢体和 10 条健康肢体进行运动的下肢 3D 标记位置数据在 OpenSim 中进行处理,以提取 HMTL。与当前标准方案相比,新方案引起的 HMTL 明显更大。在总共 30 条处于蹲伏步态的肢体中,被归类为 HMTL 过短的肢体总数从 16 条减少到 4 条。新方案可改善最大 HMTL 的确定,从而改善短 HMTL 的诊断,并确定需要进行延长治疗的患者。观察到患者之间存在个体间变异性,表明需要包括所有运动来进行全面诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e42/10665385/11a30d1f0bbd/41598_2023_47667_Fig1_HTML.jpg

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