Brown Jessica A, Gale Tom, Anderst William
University of Pittsburgh, Departments of Bioengineering and Orthopaedic Surgery, United States.
University of Pittsburgh, Departments of Bioengineering and Orthopaedic Surgery, United States.
J Biomech. 2020 Aug 26;109:109951. doi: 10.1016/j.jbiomech.2020.109951. Epub 2020 Jul 15.
The absence of a standardized method for defining hindfoot bone coordinate systems makes it difficult to compare kinematics results from different research studies. The purpose of this study was to develop a reliable and robust procedure for defining anatomical coordinate systems for the talus and calcaneus. Four methods were evaluated based upon their anatomic consistency across subjects, repeatability, and their correspondence to functional axes of rotation. The four systems consisted of: 1) interactively identified bony landmarks, 2) a principal component analysis, 3) automatically identified bony landmarks, and 4) translating the tibial coordinate system to the hindfoot bones. The four systems were evaluated on 40 tali and 40 calcanei. The functional axes of rotation were determined using dynamic biplane radiography to image the hindfoot during gait. Systems 2 and 3 were the most repeatable and consistent due to the lack of operator intervention when defining coordinate systems. None of the coordinate systems corresponded well to functional axes of rotation during gait. System 3 is recommended over System 2 because it more closely mimics established bone angles measured clinically, especially for the calcaneus. This study presents an automated method for defining anatomic coordinate systems in the talus and calcaneus that does not rely on manual placement of markers or fitting of spheres to the bone surfaces which are less reliable due to operator-dependent measurements. Using this automated method will make it easier to compare hindfoot kinematics results across research studies.
缺乏用于定义后足骨坐标系的标准化方法使得难以比较不同研究的运动学结果。本研究的目的是开发一种可靠且稳健的程序,用于定义距骨和跟骨的解剖坐标系。基于四种方法在不同受试者间的解剖一致性、可重复性以及它们与功能旋转轴的对应关系进行了评估。这四种系统包括:1)交互式识别的骨性标志,2)主成分分析,3)自动识别的骨性标志,4)将胫骨坐标系转换到后足骨。在40个距骨和40个跟骨上对这四种系统进行了评估。使用动态双平面X线摄影在步态期间对后足成像来确定功能旋转轴。由于在定义坐标系时缺乏操作者干预,系统2和系统3的可重复性和一致性最高。在步态期间,没有一个坐标系与功能旋转轴有很好的对应关系。推荐系统3而非系统2,因为它更紧密地模拟了临床上测量的既定骨角度,尤其是对于跟骨。本研究提出了一种用于定义距骨和跟骨解剖坐标系的自动化方法,该方法不依赖于标记的手动放置或球体与骨表面的拟合,由于依赖操作者的测量,后者不太可靠。使用这种自动化方法将使跨研究比较后足运动学结果更加容易。