STATISTICAL AND BIOMECHANICAL ANALYSIS OF HIP DYSPLESIA

髋关节发育不良的统计和生物力学分析

• 批准号: 8363716
• 负责人: ROSS T WHITAKER
• 金额: $ 8.88万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363716
• 关键词: Address; Algorithms; Biomechanics; Biomedical Computing; Biomedical Engineering; Cartilage; Computer software; Dysplasia; Early identification; Early treatment; Elements; Funding; Grant; Hip Joint; Hip Osteoarthritis; Hip region structure; Indium; Joints; Mechanics; Methods; Modeling; National Center for Research Resources; Operative Surgical Procedures; Orthopedics; Outcome; Pathology; Patient Simulation; Patients; Principal Investigator; Research; Research Infrastructure; Resources; Risk; Shapes; Software Tools; Source; Statistical Study; Stress; Surface; Technology; United States National Institutes of Health; Universities; Utah; Work; bone; comparison group; cost; design; open source; premature; shape analysis; software development; success; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. STATISTICAL AND BIOMECHANICAL ANALYSIS OF HIP DYSPLASIA Background: Acetabular dysplasia may be the leading cause of premature osteoarthritis (OA) of the hip. However, the relationship between the altered geometry associated with dysplasia and the resulting stresses in and around the joint is poorly understood. Recognizing the mechanical consequences of different and often subtle forms of dysplasia allows earlier identification of "at risk" hips, in turn allowing the initiation of earlier treatment. This research delineates the true spectrum of this three-dimensional pathology by quantifying stress transfer in the hip joint and predicting the long-term success rate of corrective surgeries. Rationale: Much of orthopaedics is governed by mechanics and much of mechanics is dictated by shape. Thus, we believe that the potential impact of robust, open-source software tools for meshing and statistical shape analysis is profound. The ability to study statistical shape models in a biomechanical context has several important implications, including the ability to drive the biomechanical simulations of patient groups using group-averaged geometries, the ability to make group comparisons of both geometry and biomechanical parameters in a way that systematically captures group variability, and finally, the ability to study sensitivities in biomechanical outcomes with respect to geometric variability. Questions: This project presents some important challenges for algorithm and software development in the CIBC: (1) Achieving a sufficient level of robustness to compete with the commercial pipeline; (2) Validating the quality of the elements in the biomechanics applications; (3) Extending the tools in a general way to deal with open geometries; (4) Addressing some of the issues of building joint models (multiple surfaces) with tight tolerances (bones separated by cartilage); and (5) Achieving a proper anatomical alignment of the bones. Design & Methods: This DBP relies on two collaborative methods: (1) Patient-specific finite element (FE) models: For this aim, we will work with the Bioengineering and Orthopedics group at the University of Utah to deploy Seg3D and BioMesh software and facilitate its use; and (2) Statistical shape models of the hip joint: For this aim, we will apply and extend the software tools available in ShapeWorks. The strategy will be to examine the efficacy of the current technology and extend it, as necessary, to be able to address the needs of the DBP.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 髋关节发育不良的统计和生物力学分析 背景： 髋臼发育不良可能是髋部过早骨关节炎（OA）的主要原因。 然而，与发育异常相关的几何改变与 人们对接头内部和周围产生的应力知之甚少。认识到 不同且通常微妙形式的不典型增生的机械后果允许更早 识别“有风险”的髋部，从而可以开始早期治疗。这 研究通过量化描述了这种三维病理学的真实谱 髋关节的应力传递并预测矫正的长期成功率 手术。 理由： 大部分骨科是由力学控制的，而大部分力学是由 形状。因此，我们相信强大的开源软件工具的潜在影响 网格划分和统计形状分析意义深远。研究统计形状的能力 生物力学背景下的模型具有几个重要的含义，包括能力 使用组平均驱动患者组的生物力学模拟 几何形状，对几何形状和生物力学进行分组比较的能力 以系统地捕获群体变异性的方式参数，最后，能力 研究生物力学结果对几何变异的敏感性。 问题： 该项目给算法和软件开发带来了一些重要的挑战 在 CIBC 中：(1) 达到足够的稳健性水平以与商业银行竞争 管道; (2) 验证生物力学应用中元件的质量； (3) 以通用方式扩展工具以处理开放几何图形； （四）解决一些问题 构建具有严格公差（骨骼）的关节模型（多个表面）的问题 被软骨分开）； (5) 实现骨骼的正确解剖排列。 设计与方法： 该 DBP 依赖于两种协作方法：(1) 患者特定的有限元 (FE) 模型：为了实现这一目标，我们将与生物工程和骨科小组合作 犹他大学部署 Seg3D 和 BioMesh 软件并促进其使用；和（2） 髋关节的统计形状模型：为了这个目标，我们将应用并扩展 ShapeWorks 中提供的软件工具。该策略将检验该方案的有效性 并在必要时扩展现有技术，以便能够满足 舒张压。