Murro Millissia A, Mihy Julien A, Wagatsuma Mayumi, Hafer Jocelyn F
Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, USA.
Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, USA.
Clin Biomech (Bristol). 2025 Feb;122:106427. doi: 10.1016/j.clinbiomech.2024.106427. Epub 2024 Dec 22.
Varus thrust is common in those with knee osteoarthritis. Varus thrust is traditionally identified with visual analysis or motion capture, methods that are either dichotomous or limited to the laboratory setting. Inertial measurement unit data has been found to correlate with motion capture measures of varus thrust in those with severe knee osteoarthritis, allowing for a quantitative and accessible way of measuring varus thrust. However, such measures have not been examined across a wider range of cartilage health. The goal of this study was to compare motion capture and inertial measurement unit estimates of varus thrust in adults who were asymptomatic or who had knee osteoarthritis.
Adults with (n = 17) and without (n = 10) knee osteoarthritis walked over-ground while motion capture and inertial measurement unit data were collected. We tested the correlations between motion capture variables (peak external knee adduction moment and knee adduction angular velocity during the first half of stance) and inertial measurement unit variables (peak frontal axis shank, thigh, and knee angular velocity during the first half of stance).
No significant relationships were found between the inertial measurement unit and motion capture variables. Between-study differences in cohorts or sensor-to-segment alignment methods may explain the conflicting findings.
Our findings suggest that assessing varus thrust across the spectrum of knee health (including those with and without knee osteoarthritis) may not be feasible using these inertial measurement unit measures. We should explore additional inertial measurement unit measures to enable accurate detection or monitoring of individuals with knee osteoarthritis.
膝内翻推力在膝骨关节炎患者中很常见。传统上，膝内翻推力是通过视觉分析或动作捕捉来识别的，这些方法要么是二分法，要么仅限于实验室环境。已发现惯性测量单元数据与重度膝骨关节炎患者的膝内翻推力动作捕捉测量值相关，从而提供了一种定量且便捷的测量膝内翻推力的方法。然而，此类测量尚未在更广泛的软骨健康范围内进行检验。本研究的目的是比较无症状或患有膝骨关节炎的成年人中膝内翻推力的动作捕捉和惯性测量单元估计值。
有（n = 17）和无（n = 10）膝骨关节炎的成年人在地面行走时收集动作捕捉和惯性测量单元数据。我们测试了动作捕捉变量（站立前半段期间的峰值膝关节外展力矩和膝关节外展角速度）与惯性测量单元变量（站立前半段期间的峰值额状轴小腿、大腿和膝关节角速度）之间的相关性。
未发现惯性测量单元与动作捕捉变量之间存在显著关系。队列研究间的差异或传感器与节段对齐方法可能解释了相互矛盾的结果。
我们的研究结果表明，使用这些惯性测量单元测量方法在整个膝关节健康范围内（包括有和没有膝骨关节炎的患者）评估膝内翻推力可能不可行。我们应探索额外的惯性测量单元测量方法，以实现对膝骨关节炎患者的准确检测或监测。
