Demographic Distribution of Hand Joint Space

项目总结/摘要 骨关节炎（OA）是关节炎的最常见形式，并且在许多关节中普遍存在，包括 手的关节为了增加对手部OA的了解，有必要 了解这些关节的自然结构。放射照相术通常用于科学领域， 和临床评价，其可以包括关节间隙宽度（JSW）测量，其可以 由于软骨退化而逐渐下降。当考虑到人口统计数据时，这些JSW 鉴于生活条件的多样性，措施可能有所不同。相对 对于手，放射学JSW在手指关节中更容易辨别，而不是 拇指;特别是拇指腕掌关节（CMC），在那里复杂的形态可以 渲染2D可视化具有挑战性。然而，通过计算机断层扫描（CT），关节可以被 在3D和JSW更容易评估。考虑到这些因素，具体 本研究之目的为：（1）建立手指内JSW之年龄分布图 非裔美国人和白人的关节，分别为男性和女性，两个时间点，使用 来自骨关节炎倡议（OAI）的数据;（2）建立参考值和人口统计学 使用CT测量拇指CMC JSW的分布，并评估与2D X线片的关系 JSW测量。Aim 1将利用来自OAI的数据拍摄约3500张手部X线照片。 将在两个时间点评价这些X光片的JSW，并按年龄、种族和 性别.对于目标2，将招募25名男性和25名女性。X光片和CT 将扫描每个参与者的手。将根据CT构建3D模型 图像，从中进行CMC JSW测量和类似的人口统计信息 将被抽中。然后将使用CT测量结果识别放射线照相上的标志 图像进行2D JSW测量。将在以下数据之间进行统计比较： 两次测量结果将用于制定合适的新型关系 用于调整2D测量以与3D测量一致。最终这 工作将导致整个手的JSW的量化。手指的纵向数据 在未来预测模型的开发中，关节将支持父项目的目标 for OA development发展for at risk风险populations人群.为拇指开发的框架可以是 扩展到更大的人群，以开发类似的预测模型。这个项目 支持候选人的职业发展，启动研究，重点是使用 工程过程和医学成像，用于开发计算模型， 可用于评估健康和关节炎关节的力学。

Project Summary/Abstract Osteoarthritis (OA) is the most common form of arthritis and is prevalent in many joints, including the joints of the hand. In order to increase the understanding of hand OA, it is necessary to understand the natural structure of these joints. Radiography is commonly used in the scientific and clinical evaluation which can include joint space width (JSW) measurement, which can progressively decline due to cartilage deterioration. When considering demographics, these JSW measures have the potential to be different, given the diversity of living conditions. With respect to the hand, radiographic JSW is more easily discernable in the finger joints, as opposed to the thumb; specifically, the thumb carpometacarpal joint (CMC), where the complex morphology can render 2D visualization challenging. However, with computed tomography (CT), the joint can be viewed in 3D and the JSW more readily assessed. With these factors to consider, the specific aims of this project are: (1) Establish age-specific distribution percentiles for JSW in the finger joints of African Americans and Whites, separately for men and women, for two time points, using data from the Osteoarthritis Initiative (OAI); and (2) Establish reference values and demographic distributions for the thumb CMC JSW using CT and evaluate the relationship with 2D radiographic JSW measurement. Aim 1 will utilize data from the OAI for approximately 3500 hand radiographs. These radiographs will be evaluated for JSW at two time points and separated by age, race and gender. For Aim 2, a cohort of 25 males and 25 females will be recruited. A radiograph and CT scan of each of the participant hands will be taken. 3D models will be constructed from the CT images, from which CMC JSW measurements will be made and similar demographic information will be drawn. The CT measurements will then be used to identify landmarks on the radiographic images to make the 2D JSW measurement. Statistical comparisons will be drawn between the two measurements and the results will be used in the formulation of novel relationships suitable for adjusting the 2D measurements for agreement with the 3D measurements. Ultimately, this work will result in the quantification of JSW for the entire hand. The longitudinal data for the finger joints will support the goals of the parent project in the future development of predictive models for OA development for at-risk populations. The framework developed for the thumb can be expanded for a larger population for the development of similar predictive models. This project supports the career development of the candidate by initiating research focused on the use of engineering processes and medical imaging, for the development of computational models which can be used to evaluate the mechanics of healthy and arthritic joints.