Sharafi Azadeh, Nencka Andrew S, Koch Kevin M
ArXiv. 2023 May 25:arXiv:2305.16423v1.
Wrist instability remains a common health concern. The potential of dynamic Magnetic Resonance Imaging (MRI) in assessing carpal dynamics associated with this condition is a field of ongoing research. This study contributes to this line of inquiry by developing MRI-derived carpal kinematic metrics and investigating their stability.
A previously described 4D MRI approach for tracking the movements of carpal bones in the wrist was deployed in this study. A panel of 120 metrics characterizing radial/ulnar deviation and flexion extension movements was constructed by fitting low order polynomial models of scaphoid and lunate degrees of freedom against that of the capitate. Intraclass Correlation Coefficients were utilized to analyze intra- and inter-subject stability within a mixed cohort of 49 subjects, including 20 with and 29 without a history of wrist injury.
A comparable degree of stability across the two different wrist movements. Out of the total 120 derived metrics, distinct subsets demonstrated high stability within each type of movement. Among asymptomatic subjects, 16 out of 17 metrics with high intra-subject stability also showed high inter-subject stability. Interestingly, some quadratic term metrics, although relatively unstable within asymptomatic subjects, showed increased stability within this group, hinting at potential differentiation in their behavior across different cohorts.
This study showed the developing potential of dynamic MRI to characterize complex carpal bone dynamics. Stability analyses of the derived kinematic metrics showed encouraging differences between cohorts with and without a history of wrist injury. Although these broad metric stability variations highlight the potential utility of this approach for analysis of carpal instability, further studies are necessary to better characterize these observations.
腕关节不稳定仍然是一个常见的健康问题。动态磁共振成像(MRI)在评估与此病症相关的腕骨动力学方面的潜力是一个正在进行研究的领域。本研究通过开发源自MRI的腕骨运动学指标并研究其稳定性,为这一研究方向做出了贡献。
本研究采用了先前描述的用于跟踪腕关节中腕骨运动的4D MRI方法。通过将舟骨和月骨自由度的低阶多项式模型与头状骨的自由度进行拟合,构建了一组120个表征桡偏/尺偏和屈伸运动的指标。组内相关系数被用于分析49名受试者的混合队列中的受试者内和受试者间稳定性,其中包括20名有腕部损伤史的受试者和29名无腕部损伤史的受试者。
两种不同腕部运动的稳定性程度相当。在总共120个导出指标中,不同的子集在每种运动类型中都表现出高稳定性。在无症状受试者中,17个具有高受试者内稳定性的指标中有16个也表现出高受试者间稳定性。有趣的是,一些二次项指标虽然在无症状受试者中相对不稳定,但在该组中显示出稳定性增加,这暗示了它们在不同队列中的行为可能存在差异。
本研究显示了动态MRI在表征复杂腕骨动力学方面的发展潜力。对导出的运动学指标的稳定性分析显示,有和无腕部损伤史的队列之间存在令人鼓舞的差异。尽管这些广泛的指标稳定性差异突出了这种方法在分析腕关节不稳定方面的潜在效用,但仍需要进一步研究以更好地表征这些观察结果。