Sports Medicine Center, Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC 27710, USA.
J Biomech. 2011 Feb 3;44(3):365-71. doi: 10.1016/j.jbiomech.2010.10.028. Epub 2010 Nov 18.
Despite recent attention in the literature, anterior cruciate ligament (ACL) injury mechanisms are controversial and incidence rates remain high. One explanation is limited data on in vivo ACL strain during high-risk, dynamic movements. The objective of this study was to quantify ACL strain during jump landing. Marker-based motion analysis techniques were integrated with fluoroscopic and magnetic resonance (MR) imaging techniques to measure dynamic ACL strain non-invasively. First, eight subjects' knees were imaged using MR. From these images, the cortical bone and ACL attachment sites of the tibia and femur were outlined to create 3D models. Subjects underwent motion analysis while jump landing using reflective markers placed directly on the skin around the knee. Next, biplanar fluoroscopic images were taken with the markers in place so that the relative positions of each marker to the underlying bone could be quantified. Numerical optimization allowed jumping kinematics to be superimposed on the knee model, thus reproducing the dynamic in vivo joint motion. ACL length, knee flexion, and ground reaction force were measured. During jump landing, average ACL strain peaked 55±14 ms (mean and 95% confidence interval) prior to ground impact, when knee flexion angles were lowest. The peak ACL strain, measured relative to its length during MR imaging, was 12±7%. The observed trends were consistent with previously described neuromuscular patterns. Unrestricted by field of view or low sampling rate, this novel approach provides a means to measure kinematic patterns that elevate ACL strains and that provide new insights into ACL injury mechanisms.
尽管文献中最近对此有所关注,但前交叉韧带 (ACL) 的损伤机制仍存在争议,且发病率仍然很高。一种解释是,在高风险的动态运动中,对 ACL 应变的体内数据有限。本研究的目的是量化跳跃着陆时的 ACL 应变。基于标记的运动分析技术与荧光透视和磁共振 (MR) 成像技术相结合,无创测量动态 ACL 应变。首先,对 8 名受试者的膝关节进行了 MR 成像。根据这些图像,对胫骨和股骨的皮质骨和 ACL 附着点进行了轮廓绘制,以创建 3D 模型。在使用直接贴在膝关节周围皮肤上的反射标记进行跳跃着陆时,对受试者进行了运动分析。然后,在标记物就位的情况下拍摄了双平面荧光透视图像,以便可以量化每个标记相对于下面骨骼的相对位置。数值优化允许跳跃运动学叠加到膝关节模型上,从而再现动态体内关节运动。测量了 ACL 长度、膝关节弯曲度和地面反作用力。在跳跃着陆时,当膝关节弯曲角度最低时,平均 ACL 应变在地面撞击前 55±14ms(平均值和 95%置信区间)达到峰值。相对于 MR 成像期间的长度测量的 ACL 应变峰值为 12±7%。观察到的趋势与先前描述的神经肌肉模式一致。不受视野或低采样率的限制,这种新方法提供了一种测量升高 ACL 应变的运动学模式的方法,并为 ACL 损伤机制提供了新的见解。