Demographic Distribution of Hand Joint Space

项目摘要/摘要 骨关节炎(OA)是最常见的关节炎形式，在许多关节中都很常见，包括 手的关节。为了增加对手部办公自动化的认识，有必要 了解这些关节的自然结构。放射摄影术在科学研究中被广泛使用。 以及临床评估，包括关节间隙宽度(JSW)测量，可以 由于软骨的退化而逐渐衰退。在考虑人口统计数据时，这些JSW 鉴于生活条件的多样性，衡量标准可能会有所不同。怀着敬意 另一方面，X线片上的JSW在手指关节中更容易辨认，而不是 拇指；具体地说，拇指腕掌关节(CMC)，在那里复杂的形态可以 使2D可视化具有挑战性。然而，使用计算机断层扫描(CT)，关节可以 以3D方式查看，JSW更易于评估。有了这些因素要考虑，具体的 本项目的目标是：(1)建立手指中JSW的年龄分布百分位数 非洲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；和(2)建立参考值和人口学 拇指CMC JSW的CT分布及其与二维片的关系 Jsw测量。AIM 1将利用审调处的数据拍摄约3500张手持射线照片。 这些X光片将在两个时间点进行JSW评估，并按年龄、种族和 性别。对于目标2，将招募25名男性和25名女性的队列。一张X光片和CT 将对每一位参与者的手进行扫描。3D模型将从CT构建 将从中进行CMC JSW测量的图像以及类似的人口统计信息 将会被抽签。然后，将使用CT测量来识别X光照片上的地标 图像进行二维JSW测量。将进行统计比较，以确定 两个测量和结果将被用于制定适合的新关系 用于调整2D测量以与3D测量一致。归根结底，这 这项工作将对整个手部的JSW进行量化。手指的纵向数据 在预测模型的未来开发中，联合将支持父项目的目标 用于高危人群的办公自动化开发。为拇指开发的框架可以是 扩大到更大的人口，以开发类似的预测模型。这个项目 通过启动侧重于使用以下各项的研究来支持候选人的职业发展 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性能。

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.