PDF(Pubmed)
Abstract：
BACKGROUND: Lumbar degenerative conditions are a major cause of back pain and disability in individuals aged 45 and above. Gait analysis utilizes sensor technology to collect movement data, aiding in the evaluation of various gait aspects like spatiotemporal parameters, joint angles, neuromuscular activity, and joint forces. It is widely used in conditions such as cerebral palsy and knee osteoarthritis. This research aims to assess the effectiveness of 3D gait analysis in evaluating surgical outcomes and postoperative rehabilitation for lumbar degenerative disorders.
METHODS: A prospective self-controlled before-after study (n = 85) carried out at our Hospital (Sep 2018 - Dec 2021) utilized a 3D motion analysis system to analyze gait in patients with lumbar degenerative diseases. The study focused on the multifidus muscle, a crucial spinal muscle, during a minimally invasive lumbar interbody fusion surgery conducted by Shandong Weigao Pharmaceutical Co., Ltd. Pre- and postoperative assessments included time-distance parameters (gait speed, stride frequency, stride length, stance phase), hip flexion angle, and stride angle. Changes in 3D gait parameters post-surgery and during rehabilitation were examined. Pearson correlation coefficient was employed to assess relationships with the visual analog pain scale (VAS), Oswestry Disability Index (ODI), and Japanese Orthopedic Association (JOA) scores. Patient sagittal alignment was evaluated using \"Surgimap\" software from two types of lateral radiographs to obtain parameters like pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), lumbar lordosis (LL), intervertebral space height (DH), posterior height of the intervertebral space (PDH) at the operative segment, and anterior height of the intervertebral space (ADH).
RESULTS: By the 6th week post-operation, significant improvements were observed in the VAS score, JOA score, and ODI score of the patients compared to preoperative values (P < 0.05), along with notable enhancements in 3D gait quantification parameters (P < 0.05). Pearson correlation analysis revealed a significant positive correlation between improvements in 3D gait quantification parameters and VAS score, JOA score, and ODI value (all P < 0.001).
CONCLUSIONS: 3D gait analysis is a valuable tool for evaluating the efficacy of surgery and rehabilitation training in patients.
METHODS: A prospective self-controlled before-after study (n = 85) carried out at our Hospital (Sep 2018 - Dec 2021) utilized a 3D motion analysis system to analyze gait in patients with lumbar degenerative diseases. The study focused on the multifidus muscle, a crucial spinal muscle, during a minimally invasive lumbar interbody fusion surgery conducted by Shandong Weigao Pharmaceutical Co., Ltd. Pre- and postoperative assessments included time-distance parameters (gait speed, stride frequency, stride length, stance phase), hip flexion angle, and stride angle. Changes in 3D gait parameters post-surgery and during rehabilitation were examined. Pearson correlation coefficient was employed to assess relationships with the visual analog pain scale (VAS), Oswestry Disability Index (ODI), and Japanese Orthopedic Association (JOA) scores. Patient sagittal alignment was evaluated using \"Surgimap\" software from two types of lateral radiographs to obtain parameters like pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), lumbar lordosis (LL), intervertebral space height (DH), posterior height of the intervertebral space (PDH) at the operative segment, and anterior height of the intervertebral space (ADH).
RESULTS: By the 6th week post-operation, significant improvements were observed in the VAS score, JOA score, and ODI score of the patients compared to preoperative values (P < 0.05), along with notable enhancements in 3D gait quantification parameters (P < 0.05). Pearson correlation analysis revealed a significant positive correlation between improvements in 3D gait quantification parameters and VAS score, JOA score, and ODI value (all P < 0.001).
CONCLUSIONS: 3D gait analysis is a valuable tool for evaluating the efficacy of surgery and rehabilitation training in patients.
摘要：
背景：腰椎退行性疾病是45岁及以上人群背痛和残疾的主要原因。步态分析利用传感器技术收集运动数据，帮助评估各种步态方面，如时空参数，接头角度,神经肌肉活动，和联合部队。它广泛用于脑瘫和膝骨关节炎等疾病。这项研究旨在评估3D步态分析在评估腰椎退行性疾病的手术效果和术后康复中的有效性。
方法：在我们医院（2018年9月至2021年12月）进行的一项前瞻性自我对照前后研究（n=85）利用3D运动分析系统来分析腰椎退行性疾病患者的步态。这项研究集中在多裂肌，至关重要的脊髓肌肉，在山东威高药业有限公司进行的微创腰椎椎间融合手术中，Ltd.术前和术后评估包括时间-距离参数(步态速度，步频,步幅长度,姿态阶段)，髋部屈曲角度,和步幅角度。检查了手术后和康复过程中3D步态参数的变化。采用皮尔逊相关系数评估与视觉模拟疼痛量表(VAS)的关系，Oswestry残疾指数（ODI），和日本骨科协会（JOA）评分。使用“Surgimap”软件从两种类型的侧位X线片中评估患者矢状位，以获得诸如骨盆发生率（PI）之类的参数，骨盆倾斜(PT),骶骨斜坡(SS),腰椎前凸(LL),椎间隙高度（DH），手术段的椎间隙（PDH）的后部高度，和椎间隙前部高度（ADH）。
结果：术后第6周，VAS评分有显著改善，JOA得分,患者的ODI评分与术前比较(P<0.05),随着3D步态定量参数的显着增强（P<0.05）。Pearson相关分析显示，3D步态定量参数的改善与VAS评分之间存在显着正相关。JOA得分,和ODI值(均P<0.001)。
结论：3D步态分析是评估患者手术和康复训练疗效的有价值的工具。
方法：在我们医院（2018年9月至2021年12月）进行的一项前瞻性自我对照前后研究（n=85）利用3D运动分析系统来分析腰椎退行性疾病患者的步态。这项研究集中在多裂肌，至关重要的脊髓肌肉，在山东威高药业有限公司进行的微创腰椎椎间融合手术中，Ltd.术前和术后评估包括时间-距离参数(步态速度，步频,步幅长度,姿态阶段)，髋部屈曲角度,和步幅角度。检查了手术后和康复过程中3D步态参数的变化。采用皮尔逊相关系数评估与视觉模拟疼痛量表(VAS)的关系，Oswestry残疾指数（ODI），和日本骨科协会（JOA）评分。使用“Surgimap”软件从两种类型的侧位X线片中评估患者矢状位，以获得诸如骨盆发生率（PI）之类的参数，骨盆倾斜(PT),骶骨斜坡(SS),腰椎前凸(LL),椎间隙高度（DH），手术段的椎间隙（PDH）的后部高度，和椎间隙前部高度（ADH）。
结果：术后第6周，VAS评分有显著改善，JOA得分,患者的ODI评分与术前比较(P<0.05),随着3D步态定量参数的显着增强（P<0.05）。Pearson相关分析显示，3D步态定量参数的改善与VAS评分之间存在显着正相关。JOA得分,和ODI值(均P<0.001)。
结论：3D步态分析是评估患者手术和康复训练疗效的有价值的工具。
