A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane

A. Erdman, Alex M. Loewen, Michael Dressing, Charles Wyatt, Gretchen Oliver, Lauren S. Butler, Dai Sugimoto, Amanda M. Black, Kirsten Tulchin-Francis, David M. Bazett-Jones, J. Janosky, Sophia M. Ulman
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Abstract

Adolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.A total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.The MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors.
基于视频的二维评估与冠状面动态膝外翻的三维生物力学因素相关联
青少年运动员在参与涉及切削和着地动作的运动时,前十字韧带(ACL)撕裂的风险会增加,这凸显了识别膝关节动态外翻(DKV)等危险运动模式的重要性。定性运动筛查已经探索出了 DKV 的二维(2D)评分标准,然而,有关这些筛查工具有效性的数据仍然有限。确定一个与三维(3D)生物力学测量紧密结合的 DKV 二维评分标准,将有助于在更大范围内识别青少年运动员的不良膝关节位置。共有 41 名青少年女子排球俱乐部运动员进行了三项任务运动筛选,包括单腿深蹲(SLS)、单腿落地(SLDL)和双腿垂直起跳(DLVJ)。每项任务的 2D 视频都由一名评分员根据膝关节位置不佳的四项标准进行评分。运动捕捉系统用于计算三维关节角度,包括骨盆倾斜度、髋关节内收、膝关节外展、踝关节外翻和足前进角。为每个二维评分标准创建了接收器操作特征曲线,以确定是否存在运动障碍的切点,并计算了曲线下面积(AUC),以描述每个二维标准与三维生物力学数据相比的准确性。三维测量结果表明,在三项任务中膝关节中心最内侧的时间点,膝关节外展角度在 2.4°-4.6°(标清 4.1°-4.3°)之间。各评分项目的 AUC 值介于 0.62 和 0.93 之间。MEDIAL 评分项目的定义是膝关节位于鞋的内侧边界内,该评分项目与 DKV 组成部分的关联度最大,AUC 在 0.67 到 0.93 之间。MEDIAL 评分标准在区分 DKV 组成部分(尤其是骨盆倾斜、髋关节内收、踝关节外翻和足前移)方面表现最佳。与之前发表的躯干特异性风险因素评分定义一样,作者认为,鉴于与三维生物力学风险因素的关联,MEDIAL 标准可能是最能体现 DKV 的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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