Real-Time Model-Based Gait Retraining for Knee Osteoarthritis Rehabilitation

基于实时模型的膝骨关节炎康复步态再训练

基本信息

批准号：
7495645
负责人：
BENJAMIN J FREGLY
金额：
$ 17.24万
依托单位：
UNIVERSITY OF FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-09-12 至 2010-08-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The long term objective of this application is to develop a novel rehabilitation approach to slow the progression of knee osteoarthritis, resulting in improved function and reduced pain for millions of patients. Unlike traditional rehabilitation approaches, the proposed approach is quantitative, combining patient-specific computer models with experimental gait analysis. The computer models are used to predict altered yet natural looking gait patterns that reduce detrimental knee loads. Subsequent gait analysis with real-time visual feedback is then used to train the patient to match the knee loads predicted by the computer model. The specific load targeted by gait retraining is the external knee adduction torque (i.e., the moment that contributes to medial compartment force), since this load is a strong indicator of knee osteoarthritis severity and progression. Initial application of the approach to two subjects but without real-time visual feedback yielded reductions as large as 50% in both peaks of the adduction torque curve, comparable to the results of high tibial osteotomy surgery but without surgical intervention. To investigate the feasibility of this long term objective, we propose to pursue three specific aims in a feasibility study study involving 10 patients with early knee osteoarthritis: Specific aim 1: Predict with a patient-specific computational model whether similar gait modifications exist for each patient that will significantly reduce both knee adduction torque peaks. Specific aim 2: Determine whether patients can achieve significant knee adduction torque reductions after eight gait retraining sessions using real-time model-based visual feedback. Specific aim 3: Determine whether significant knee adduction torque reductions can be maintained for at least one month following the completion of the gait retraining program. If successful, the proposed approach may permit customized gait retraining to be used to slow the progression of knee osteoarthritis or even as a preventative measure. The end result could be millions of patients with decreased pain and improved function who can delay or even avoid knee replacement surgery. Knee osteoarthritis afflicts millions of people in the United States, causing pain and limiting the ability to perform important daily activities such as walking and stair climbing. Using patient-specific computer models and experimental gait analysis, this research seeks to develop a novel rehabilitation approach to slow the progression of the disease. If successful, the approach would allow many patients to delay or possibly even avoid the need for knee replacement surgery in the future.

描述（由申请人提供）：本申请的长期目标是开发一种新的康复方法来减缓膝骨关节炎的进展，从而改善数百万患者的功能并减少疼痛。与传统的康复方法不同，所提出的方法是定量的，将患者特定的计算机模型与实验步态分析相结合。计算机模型用于预测改变但看起来自然的步态模式，以减少有害的膝盖负荷。随后使用实时视觉反馈进行步态分析来训练患者以匹配计算机模型预测的膝盖负荷。步态再训练的目标特定负荷是膝关节外收扭矩（即，对内侧间室力起作用的力矩），因为该负荷是膝骨关节炎严重程度和进展的有力指标。该方法最初应用于两名受试者，但没有实时视觉反馈，内收扭矩曲线的两个峰值均减少了 50%，与未经手术干预的胫骨高位截骨术的结果相当。为了调查这一长期目标的可行性，我们建议在一项涉及 10 名早期膝骨关节炎患者的可行性研究中追求三个具体目标：具体目标 1：使用患者特定的计算模型预测每位患者是否存在类似的步态改变这将显着降低膝关节内收扭矩峰值。具体目标 2：使用基于模型的实时视觉反馈确定患者是否可以在八次步态再训练后实现显着的膝内收扭矩降低。具体目标 3：确定步态再训练计划完成后，膝关节内收扭矩的显着降低是否可以维持至少一个月。如果成功，所提出的方法可能允许使用定制的步态再训练来减缓膝骨关节炎的进展，甚至作为预防措施。最终结果可能是数百万患者疼痛减轻、功能改善，从而可以推迟甚至避免膝关节置换手术。在美国，膝骨关节炎困扰着数百万人，它会导致疼痛并限制其进行重要日常活动（例如行走和爬楼梯）的能力。这项研究利用患者特定的计算机模型和实验步态分析，旨在开发一种新的康复方法来减缓疾病的进展。如果成功，该方法将使许多患者推迟甚至可能避免将来进行膝关节置换手术。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Decreased knee adduction moment does not guarantee decreased medial contact force during gait.

DOI：
10.1002/jor.21142
发表时间：
2010-10
期刊：
JOURNAL OF ORTHOPAEDIC RESEARCH
影响因子：
2.8
作者：
Walter, Jonathan P.;D'Lima, Darryl D.;Colwell, Clifford W., Jr.;Fregly, Benjamin J.
通讯作者：
Fregly, Benjamin J.

Gait modification to treat knee osteoarthritis.