Bey Michael J, Zauel Roger, Brock Stephanie K, Tashman Scott
Henry Ford Health Systems, Department of Orthopaedics and Rehabilitation, Bone and Joint Center, E&R 2015, 2799 W. Grand Blvd., Detroit, MI 48202, USA.
J Biomech Eng. 2006 Aug;128(4):604-9. doi: 10.1115/1.2206199.
Shoulder motion is complex and significant research efforts have focused on measuring glenohumeral joint motion. Unfortunately, conventional motion measurement techniques are unable to measure glenohumeral joint kinematics during dynamic shoulder motion to clinically significant levels of accuracy. The purpose of this study was to validate the accuracy of a new model-based tracking technique for measuring three-dimensional, in vivo glenohumeral joint kinematics. We have developed a model-based tracking technique for accurately measuring in vivo joint motion from biplane radiographic images that tracks the position of bones based on their three-dimensional shape and texture. To validate this technique, we implanted tantalum beads into the humerus and scapula of both shoulders from three cadaver specimens and then recorded biplane radiographic images of the shoulder while manually moving each specimen's arm. The position of the humerus and scapula were measured using the model-based tracking system and with a previously validated dynamic radiostereometric analysis (RSA) technique. Accuracy was reported in terms of measurement bias, measurement precision, and overall dynamic accuracy by comparing the model-based tracking results to the dynamic RSA results. The model-based tracking technique produced results that were in excellent agreement with the RSA technique. Measurement bias ranged from -0.126 to 0.199 mm for the scapula and ranged from -0.022 to 0.079 mm for the humerus. Dynamic measurement precision was better than 0.130 mm for the scapula and 0.095 mm for the humerus. Overall dynamic accuracy indicated that rms errors in any one direction were less than 0.385 mm for the scapula and less than 0.374 mm for the humerus. These errors correspond to rotational inaccuracies of approximately 0.25 deg for the scapula and 0.47 deg for the humerus. This new model-based tracking approach represents a non-invasive technique for accurately measuring dynamic glenohumeral joint motion under in vivo conditions. The model-based technique achieves accuracy levels that far surpass all previously reported non-invasive techniques for measuring in vivo glenohumeral joint motion. This technique is supported by a rigorous validation study that provides a realistic simulation of in vivo conditions and we fully expect to achieve these levels of accuracy with in vivo human testing. Future research will use this technique to analyze shoulder motion under a variety of testing conditions and to investigate the effects of conservative and surgical treatment of rotator cuff tears on dynamic joint stability.
肩部运动十分复杂,大量研究工作都聚焦于测量盂肱关节的运动。遗憾的是,传统的运动测量技术无法在动态肩部运动过程中以临床上具有显著意义的精度测量盂肱关节的运动学。本研究的目的是验证一种基于模型的新跟踪技术在测量三维体内盂肱关节运动学方面的准确性。我们开发了一种基于模型的跟踪技术,可从双平面X线图像精确测量体内关节运动,该技术根据骨骼的三维形状和纹理跟踪其位置。为验证该技术,我们在三个尸体标本的双肩肱骨和肩胛中植入钽珠,然后在手动移动每个标本的手臂时记录肩部的双平面X线图像。使用基于模型的跟踪系统和先前验证的动态放射立体测量分析(RSA)技术测量肱骨和肩胛的位置。通过将基于模型的跟踪结果与动态RSA结果进行比较,以测量偏差、测量精度和整体动态精度来报告准确性。基于模型的跟踪技术产生的结果与RSA技术高度一致。肩胛的测量偏差范围为-0.126至0.199毫米,肱骨的测量偏差范围为-0.022至0.079毫米。肩胛的动态测量精度优于0.130毫米,肱骨的动态测量精度优于0.095毫米。整体动态精度表明,肩胛在任何一个方向上的均方根误差小于0.385毫米,肱骨小于0.374毫米。这些误差对应于肩胛约0.25度和肱骨约0.47度的旋转不准确性。这种新的基于模型的跟踪方法代表了一种在体内条件下精确测量动态盂肱关节运动的非侵入性技术。基于模型的技术所达到的精度水平远远超过了之前报道的所有用于测量体内盂肱关节运动的非侵入性技术。该技术得到了一项严格验证研究的支持,该研究提供了对体内条件的真实模拟,我们完全期望在人体体内测试中达到这些精度水平。未来的研究将使用该技术分析各种测试条件下的肩部运动,并研究肩袖撕裂的保守治疗和手术治疗对动态关节稳定性的影响。