Biomechanics Laboratory, Division of Orthopedic Research, Mayo Clinic, Rochester, MN, 55905, USA.
Clin Orthop Relat Res. 2014 Apr;472(4):1106-13. doi: 10.1007/s11999-013-3066-8.
Analysis of arthrokinematics may have clinical use in the diagnosis of dynamic instability of the thumb and wrist. Recent technological advances allow noninvasive, high-resolution imaging of skeletal (thumb and carpal bones) structures during motion.
QUESTIONS/PURPOSES: The primary purpose of this study is to define the arthrokinematics, estimated joint contact patterns, and distribution ratios of the carpometacarpal joint of the thumb using four-dimensional CT (three-dimensional CT + time) and registration algorithms. The second purpose is to validate the accuracy of the approach.
Four-dimensional CT scans were obtained using a nongated sequential scanning technique. Eighteen image volumes were reconstructed over a 2-second cycle during thumb circumduction in one healthy volunteer. Using a registration algorithm, serial thumb motions as well as estimated joint contact areas were quantified. To evaluate the accuracy of our approach, one cadaveric hand was used.
During circumduction, the ranges of motion of the thumb carpometacarpal joint were: flexion-extension, 27.3°; adduction-abduction, 66.9°; and pronation-supination, 10°. The magnitude of the translation of the center of the estimated joint contact area of the metacarpal was 4.1, 4.0, 1.0, and 1.5 mm when moving from the initial key pinch position to adduction, adduction to palmar abduction, palmar abduction to opposition, and opposition to the initial key pinch position, respectively. The maximum estimated contact area on the trapezium and on the metacarpal was in palmar abduction; the minimum was in adduction. Dominant central-volar contact patterns were observed on both the trapezium and the metacarpal bone except in adduction. This analysis approach had an average rotational error of less than 1°.
During circumduction, the estimated joint contact area was concentrated on the central-volar regions of both the trapezium and the metacarpal bones except when the thumb was adducted.
This tool provides quantification of estimated joint contact areas throughout joint motion under physiological dynamic loading conditions; this tool may, in future studies, help to clarify some of the ways that joint mechanics might or might not predispose patients to arthritis.
分析关节运动学在诊断拇指和腕部动态不稳定方面可能具有临床应用价值。最近的技术进步允许在运动过程中对骨骼(拇指和腕骨)结构进行非侵入性的高分辨率成像。
问题/目的:本研究的主要目的是使用四维 CT(三维 CT+时间)和配准算法定义拇指的关节运动学、估计的关节接触模式和掌指关节的分布比例。第二个目的是验证该方法的准确性。
使用非门控连续扫描技术获得四维 CT 扫描。在一位健康志愿者的拇指环转过程中,在 2 秒的周期内重建了 18 个图像体积。使用配准算法,对连续的拇指运动和估计的关节接触区域进行了量化。为了评估我们方法的准确性,使用了一具尸体手。
在环转过程中,拇指掌指关节的运动范围为:屈伸 27.3°;内收-外展 66.9°;旋前-旋后 10°。当从初始关键捏合位置移动到内收、内收至掌侧外展、掌侧外展至对掌和对掌至初始关键捏合位置时,估计的关节接触区域中心的平移量分别为 4.1、4.0、1.0 和 1.5mm。在掌侧外展时,在舟骨和掌骨上观察到最大的估计接触面积;在内收时最小。除了内收,在舟骨和掌骨上都观察到主导的中央-掌侧接触模式。这种分析方法的平均旋转误差小于 1°。
在环转过程中,除拇指内收时外,估计的关节接触区域集中在舟骨和掌骨的中央-掌侧区域。
该工具提供了在生理动态加载条件下整个关节运动过程中估计的关节接触区域的定量分析;在未来的研究中,该工具可能有助于阐明关节力学可能或不可能使患者易患关节炎的一些方式。