Bennett Hunter J, Shen Guangping, Weinhandl Joshua T, Zhang Songning
Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, USA.
Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, USA.
J Biomech. 2016 Sep 6;49(13):3047-3051. doi: 10.1016/j.jbiomech.2016.06.013. Epub 2016 Jun 15.
Several motion capture methods exist for predicting hip joint centers (HJC). These methods include regression models, functional joints, and projections from greater trochanters. While regression and functional methods have been compared to imaging techniques, the TROCH method has not been previously validated. The purpose of this study was to compare frontal-plane HJCs and knee mechanical axis angles estimated using the greater trochanter method with a regression (Bell) and a functional method against those obtained using radiographs. Thirty-five participants underwent a long-standing anteroposterior radiograph, and performed static and functional motion capture trials. The Bell, functional, and trochanter HJCs were constructed to predict mechanical axes and compare HJC locations. One-way repeated measures ANOVAs were used to compare mechanical axes and HJC locations estimated by motion capture methods and measured using radiographs (p<0.05). All methods overestimated mechanical axes compared to radiographs (<2°), but were not different. Mediolateral HJC locations and inter-HJC widths were similar between methods; however, inter-HJC widths were underestimated (average 3.7%) compared to radiographs. The Bell HJC was more superior and anterior to both functional and trochanter methods. The trochanter HJC was more posterior to both methods. The Bell method outperformed the other methods in leg length predictions compared to radiographs. Although differences existed between methods, all frontal-plane HJC location differences were <1.7cm. This study validated the trochanter HJC prediction method mediolaterally and vertically (with small respective correction factors). Therefore, all HJC methods seem to be viable in predicting mechanical axes and frontal-plane HJC locations compared with radiographs.
存在多种用于预测髋关节中心(HJC)的运动捕捉方法。这些方法包括回归模型、功能关节以及来自大转子的投影。虽然回归和功能方法已与成像技术进行了比较,但TROCH方法此前尚未得到验证。本研究的目的是将使用大转子方法估计的额状面HJC和膝关节机械轴角度与回归(贝尔)方法和功能方法进行比较,并与使用X线片获得的结果进行对比。35名参与者接受了长期站立位前后位X线片检查,并进行了静态和功能性运动捕捉试验。构建贝尔、功能和大转子HJC以预测机械轴并比较HJC位置。使用单向重复测量方差分析来比较通过运动捕捉方法估计并使用X线片测量的机械轴和HJC位置(p<0.05)。与X线片相比,所有方法均高估了机械轴(<2°),但差异不显著。各方法之间的内外侧HJC位置和HJC间宽度相似;然而,与X线片相比,HJC间宽度被低估(平均3.7%)。贝尔HJC在功能和大转子方法两者之上且更靠前。大转子HJC在两种方法中都更靠后。与X线片相比,贝尔方法在腿长预测方面优于其他方法。尽管各方法之间存在差异,但所有额状面HJC位置差异均<1.7cm。本研究在内外侧和垂直方向(分别有小的校正因子)验证了大转子HJC预测方法。因此,与X线片相比,所有HJC方法在预测机械轴和额状面HJC位置方面似乎都是可行的。