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Quantification of 3D Bony Changes in Temporomandibular Joint Osteoarthritis

颞下颌关节骨关节炎 3D 骨变化的量化

基本信息

批准号：
9125815
负责人：
Lucia H Cevidanes
金额：
$ 18.91万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-10 至 2019-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9125815
关键词：
Address Affect Algorithms Architecture Arthritis Basic Science Bilateral Biological Markers Biomedical Computing Bone Regeneration Clinical Clinical Protocols Clinical Research Collaborations Communities Computational algorithm Computer software Computers Decision Making Degenerative polyarthritis Dental Dental Research Dentistry Detection Deterioration Development Diagnosis Disease Disease Progression Early Diagnosis Engineering Excision Fibrocartilages Foundations Goals Gold Health Health Care Costs Image Image Analysis Imagery Individual Inflammatory Jaw Joints Knowledge Mandibular Advancement Mandibular Condyle Maps Measurement Measures Medical Medical Imaging Methodology Methods Modeling Monitor Morphology Operative Surgical Procedures Pain Pathologic Pathology Patients Practice Management Prevention strategy Procedures Process Radiation Replacement Arthroplasty Research Research Infrastructure Research Personnel Resources Scientist Shapes Slice Software Framework Solid Specialist Statistical Models Structure Study models Targeted Research Techniques Temporomandibular Joint Temporomandibular Joint Disorders Temporomandibular joint arthritis Temporomandibular joint osteoarthritis Testing Tissues Training Translating Translations Treatment Effectiveness Treatment outcome United States National Institutes of Health Work X-Ray Computed Tomography analytical tool base bone bone erosion bone imaging clinical practice cohort cone-beam computed tomography cost diagnostic biomarker disability effective therapy experience imaging biomarker improved indexing individual patient meetings member novel open source programs quantitative imaging response therapeutic target tool treatment effect

项目摘要

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.

描述（由申请人提供）：拟议研究的目标是：1）研究一种新的框架，以改善颞下颌关节骨关节炎的评估; 2）与国家医学成像计算联盟（NA-MIC）（NIH国家生物医学计算中心之一）合作，开发扩展3D Slicer开源软件功能的计算算法;以及3）监督这些工具在牙科研究界的培训和传播。我们以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的程度，退行性变化的下颌骨髁突。本提案中包含的新型定量方法将为关节炎起源疾病的检测、病理学表征和治疗监测提供特定的分析工具。基于此，提出了骨关节炎髁突结构的映射使用成像标准（例如髁突变平、侵蚀和骨过度生长）是促进骨关节炎变化的检测、监测治疗结果以及为关节恶化预防策略的发展提供基础的极好模型。这项拟议的研究受益于临床医生团队的共同努力，以及计算机科学家和工程师，他们是NA-MIC算法和工程核心的积极成员。该研究团队带来了特殊的资源，以实现更广泛的目标，即开发用于前沿牙科临床研究和实践的图像分析基础设施。