Imaging tools to quantitatively assess artificial hip joint tribological performance

用于定量评估人工髋关节摩擦学性能的成像工具

• 批准号: RGPIN-2022-04423
• 负责人: Teeter, Matthew
• 金额: $ 2.84万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760741
• 关键词: Imaging; tools; quantitatively; assess; artificial

Over time artificial hip joints have achieved improved durability and longevity due to advancements in biomedical materials. However, there are still outstanding questions about how wear and corrosion of these materials occurs, why individuals may react differently to the presence of implant wear debris, and how often severe implant wear and tissue reactions occur. Researchers working to address these issues need additional tools to achieve improved understanding. The long-term objective of my proposed research program is to develop enhanced optical (photography) and radiographic (x-ray) imaging tools and employ them to evaluate the wear performance of artificial hip joints. This knowledge will be used for the development of the next generation of artificial joint designs and materials to improve their longevity and function. Within this research program, the immediate aims are to: (1) Develop software to perform automated damage scoring from photographs of artificial hip components that have been explanted due to failure; (2) Integrate this automated damage scoring approach with an optical coordinate measurement machine to directly correlate damage scores with measurements of wear volume; and (3) Develop a radiographic technique using digital tomosynthesis to assess the integrity of the modular head-neck junction of artificial hip components. These new optical and radiographic imaging tools will enable researchers to better study the wear performance of artificial hip implants. The software to perform automated damage scoring from photographs can be shared, promoting collaboration between labs and ultimately unlock the potential for all explanted devices to be analyzed and combined through a registry. The integration of automated damage scoring with the optical CMM will establish a rigorous, high throughput analysis pipeline to thoroughly evaluate implant damage and wear volume. Increasing the number of retrieved devices assessed with these tools will enable a deep analysis of the complex interaction of factors affecting implant performance and early failure. Finally, adding tomosynthesis to the arsenal of imaging methods will yield rich data on the in vivo condition and performance of modular junctions. What is learned from this direct observation will enable more realistic pre-clinical testing and improve future implant designs.

随着时间的推移，由于生物医学材料的进步，人工髋关节已经实现了更好的耐用性和寿命。然而，关于这些材料的磨损和腐蚀是如何发生的，为什么个体对种植体磨损碎屑的反应不同，以及严重的种植体磨损和组织反应发生的频率如何，仍然存在悬而未决的问题。致力于解决这些问题的研究人员需要额外的工具来提高理解。我提出的研究计划的长期目标是开发增强的光学（摄影）和射线（X射线）成像工具，并利用它们来评估人工髋关节的磨损性能。这些知识将用于开发下一代人工关节设计和材料，以提高其寿命和功能。在这项研究计划中，近期目标是：（1）开发软件，根据人工髋关节部件的照片进行自动损伤评分，这些人工髋关节部件由于失效而被修复;（2）将这种自动损伤评分方法与光学坐标测量机相结合，以直接将损伤评分与磨损体积测量相关联;和（3）开发一种使用数字断层合成的X线摄影技术，以评估人工髋关节组件的组配式头颈连接的完整性。这些新的光学和射线成像工具将使研究人员能够更好地研究人工髋关节植入物的磨损性能。根据照片执行自动损坏评分的软件可以共享，促进实验室之间的合作，并最终释放通过注册表分析和组合所有已验证设备的潜力。自动损伤评分与光学CMM的集成将建立严格的高通量分析管道，以彻底评估植入物损伤和磨损量。增加使用这些工具评估的取出器械数量将能够深入分析影响植入物性能和早期失效的因素的复杂相互作用。最后，将断层合成添加到成像方法库中将产生关于模块化连接的体内条件和性能的丰富数据。从这种直接观察中了解到的信息将使临床前测试更加真实，并改进未来的植入物设计。