Pendola Martin, Petchprapa Catherine, Wollstein Ronit
Department of Orthopedic Surgery, New York University, School of Medicine, Huntington Station, New York, United States.
Department of Radiology, School of Medicine, Huntington Station, New York, United States.
J Wrist Surg. 2021 May 1;10(6):523-527. doi: 10.1055/s-0041-1728804. eCollection 2021 Dec.
A challenge to deciphering the effect of structure on function in the wrist involves difficulty in obtaining in-vivo information. To provide a platform to study wrist mechanics using in vivo acquired forces, we developed a model of the midcarpal joint based on computed tomography (CT) scans of normal wrists. Finite element analysis (FEA) can enable application of in vivo collected information to an ex vivo model. The objectives of this study are to (1) create a three-dimensional model of the midcarpal joint of the wrist based on CT scans and (2) generate separate models for the midcarpal joint based on two distinct wrist types and perform a pilot loading of the model. CT scans from a normal patient database were converted to three-dimensional standard template library (STL) files using OsiriX software. Five type 1 and five type 2 wrists were used for modeling. A simulated load was applied to the carpometacarpal joints in a distal-to-proximal direction, and FEA was used to predict force transfer in the wrist. There were 33% type 1 and 67% type 2 wrists. The midcarpal joint dimensional measurements estimated from the model had intermediate agreement between wrist type as measured on CT scan and as predicted by the model: 56% Cohen's kappa (95% confidence interval) = 0.221 (0.05-0.5). Surface stress on the carpometacarpal joints is different in type 1 and type 2 wrists. On loading the neutral wrist, the capitolunate angle was 90 degrees in type 1 wrists and 107 degrees in type 2 wrists ( < 0.0001). The model predicted differences in movement and force transfer through the midcarpal joint dependent on structural type. This knowledge can improve our understanding of the development of disparate patterns of degeneration in the wrist.
解析手腕结构对功能影响面临的一个挑战在于获取体内信息存在困难。为了提供一个利用体内获取的力来研究手腕力学的平台,我们基于正常手腕的计算机断层扫描(CT)图像开发了一个腕中关节模型。有限元分析(FEA)能够将体内收集的信息应用于体外模型。
(1)基于CT扫描创建手腕腕中关节的三维模型;(2)根据两种不同的手腕类型生成腕中关节的单独模型,并对模型进行初步加载。
使用OsiriX软件将来自正常患者数据库的CT扫描图像转换为三维标准模板库(STL)文件。使用5个1型手腕和5个2型手腕进行建模。在远侧至近侧方向上向腕掌关节施加模拟载荷,并使用有限元分析来预测手腕中的力传递。
1型手腕占33%,2型手腕占67%。从模型估计的腕中关节尺寸测量值与在CT扫描上测量的以及模型预测的手腕类型之间具有中等一致性:56%的Cohen卡方(95%置信区间)=0.221(0.05 - 0.5)。1型和2型手腕的腕掌关节表面应力不同。加载中立位手腕时,1型手腕的头月角为90度,2型手腕的头月角为107度(P < 0.0001)。
该模型预测了通过腕中关节的运动和力传递因结构类型而异。这一知识可以增进我们对腕部不同退变模式发展的理解。