Quantification of 3D Bony Changes in Temporomandibular Joint Osteoarthritis

描述(由申请人提供)：拟议研究的目标是1)调查一种新的框架，以改进对颞颌关节骨关节炎的评估；2)与NIH国家生物医学计算中心之一的国家医学成像计算联盟(NA-MIC)合作，开发扩展3D Slicer开源软件能力的计算算法；以及3)监督这些工具的培训和向牙科研究界的传播。我们之前开发和验证的统计建模框架使我们能够精确定位和准确量化下颌骨髁状突退变的程度。这项提议中包括的新的量化方法将为关节炎起源的疾病的检测、病理特征和治疗监测提供具体的分析工具。在此基础上，提出了骨性关节炎髁状突的构筑图 使用影像标准(如髁突扁平、侵蚀和骨过度生长)是一个极好的模型，有助于检测骨关节炎的变化，监测治疗结果，并为制定关节恶化预防策略提供基础。这项拟议的研究得益于一组临床医生、计算机科学家和工程师的共同努力，他们是NA-MIC算法和工程核心的活跃成员。这个研究团队带来了特殊的资源，使开发图像分析基础设施的更广泛目标能够用于尖端的牙科临床研究和实践。

DESCRIPTION (provided by applicant): The goals of the proposed research are 1) to investigate a novel framework to improve assessments of temporomandibular joint osteoarthritis; 2) to develop computational algorithms that extend the capabilities of 3D Slicer open-source software, in collaboration with the National Alliance for Medical Imaging Computing (NA-MIC), one of the NIH National Centers for Biomedical Computing; and 3) oversee the training and dissemination of these tools to the dental research community. The statistical modeling framework we previously developed and validated has allowed us to precisely localize and accurately quantify the extent of degenerative changes in the mandibular condyles. The novel quantification methodology included in this proposal will provide specific analytical tools for the detection, pathology characterization and treatment monitoring of diseases of arthritic origin. Building from this, the proposed mapping of the architecture of the osteoarthritic condyles using imaging criteria (such as condylar flattening, erosions and bone overgrowth) is an excellent model to facilitate detection of osteoarthritic changes, to monitor treatment outcomes, and to provide the foundation for the development of joint deterioration prevention strategies. This proposed research benefits from the combined efforts of a team of clinicians, and computer scientists and engineers who are active members of the NA-MIC algorithm and engineering cores. This research team brings special resources to enable the broader objective of developing an infrastructure for image analysis to be used in leading-edge dental clinical research and practice.