TAVR leaflet fatigue modeling using physiological wear data

使用生理磨损数据进行 TAVR 小叶疲劳建模

• 批准号: 10517636
• 负责人: Christopher Noble
• 金额: $ 14.33万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-09 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10517636
• 关键词: Address; Adopted; Aging; Animals; Aortic Valve Stenosis; Area; Arteries; Biomechanics; Bioprosthesis device; Cardiovascular system; Cells; Clinic; Clinical; Communication Research; Complication; Computer Models; Core Facility; Data; Data Correlations; Developed Countries; Development; Devices; Doctor of Philosophy; Electron Microscopy; Elements; Engineering; Environment; Evaluation; Exposure to; Faculty; Failure; Fatigue; Fiber; Finite Element Analysis; Frequencies; Future; Geometry; Goals; Grant; Health Resources; Heart Valve Diseases; Imaging Techniques; In Vitro; Industry; Laboratory Research; Link; Location; Longevity; Mechanics; Medical Device; Medical Imaging; Medicine; Melissa; Mentors; Methods; Microscopy; Modeling; Morbidity - disease rate; Operative Surgical Procedures; Outcome; Patient imaging; Patients; Performance; Physiological; Population; Positioning Attribute; Postdoctoral Fellow; Procedures; Property; Public Health; Research; Resources; Risk; Scanning Electron Microscopy; Site; Structure; Techniques; Testing; Thick; Thinness; Tissue Engineering; Tissues; Training; Transmission Electron Microscopy; Universities; Validation; Variant; Work; Writing; X-Ray Computed Tomography; X-Ray Medical Imaging; aortic valve; aortic valve disorder; aortic valve replacement; base; calcification; career; clinical application; data modeling; design; digital imaging; experience; hemodynamics; image processing; improved; in silico; in vivo; interest; loss of function; material fatigue; mechanical properties; microCT; microscopic imaging; minimally invasive; mortality; multiphoton microscopy; personalized medicine; post-doctoral training; pressure; research facility; simulation; skills; success; tenure track; valve replacement

Project Summary/Abstract The candidate holds a Ph.D. in Mechanical Engineering from the University of Sheffield UK and is currently a Research Associate at Mayo Clinic. His research interests are in the field of cardiovascular computational biomechanics with his postdoctoral work investigating the mechanics of atherosclerotic arteries and aortic valves with finite element modeling. Through completion of his postdoctoral training the candidate aims to transition from mentored to independent research and begin a tenure track faculty position at a major research university. The K99/R00 mechanism provides the perfect opportunity for accomplishing this goal. The candidate’s primary mentor, Dr. Amir Lerman, has extensive research experience and has operated a research laboratory successfully throughout his career and has made numerous contributions to several fields of cardiovascular medicine. Dr. Melissa Young has extensive industry and academic experience in replacement aortic valve design and testing. Dr. Dan Dragomir-Daescu, a co-mentor on this project, also has both academic and industry experience in the development and evaluation of medical devices. The final co- mentor, Prof. Jeffery Salisbury has vast experience in microscopy techniques and is the director of the Microscopy and Cell Analysis core facility at Mayo Clinic and also has significant academic experience. Working with his mentors, the candidate will train in fatigue mechanics, medical image processing, microscopy, and computational modeling. The candidate will also train in other essential skills including communication of research findings, mentoring, grantsmanship, scientific writing, and project management. Mayo also offers a variety of research resources and facilities to assist this research including core facilities such as the Microscopy and Cell Analysis Core, the X-Ray Imaging Core, and the Materials and Structural Testing Core. The proposed project addresses the important clinical need of TAVR valve longevity through development of a fatigue computational model. The planned work will utilize mechanical testing data and various imaging techniques to provide a link between the macrostructural mechanical properties and the microstructural fiber damage from physiological fatigue loading. This data will then be utilized to develop a fatigue finite element model that more accurately predicts the valve mechanical wear. This validated model can then be utilized clinically with medical imaging of patient vasculature to perform personalized simulations of valve performance to improve valve selection and sizing to improve longevity. Additionally, the proposed model can be used to enhance regulatory approval allowing multiple designs to be evaluated for fatigue performance and longevity in simulated physiological environments. These applications can improve the valve longevity, reducing the frequency of valve replacement significantly reducing the burden of aortic valve disease.

项目总结/摘要 候选人拥有博士学位。英国谢菲尔德大学机械工程专业毕业， 马约诊所的研究助理。他的研究兴趣是心血管计算领域， 生物力学与他的博士后工作调查力学动脉粥样硬化和主动脉 阀门的有限元建模。通过完成博士后培训，候选人的目标是 从指导到独立研究的过渡，并开始在一个主要的研究终身教职 大学K99/R 00机制为实现这一目标提供了完美的机会。 候选人的主要导师Amir Lerman博士拥有丰富的研究经验，并曾在 他在整个职业生涯中成功地研究了实验室，并在几个领域做出了许多贡献 心血管医学Melissa Young博士拥有丰富的行业和学术经验， 置换主动脉瓣设计和测试。Dan Dragomir-Daescu博士是该项目的共同导师， 在医疗器械开发和评估方面的学术和行业经验。最后的合作- 导师，杰弗里索尔兹伯里教授在显微镜技术方面拥有丰富的经验，是主任 在马约诊所的显微镜和细胞分析核心设施，也有重要的学术经验。 与他的导师一起工作，候选人将接受疲劳力学，医学图像处理，显微镜， 和计算机建模。候选人还将接受其他基本技能的培训，包括 研究成果、指导、授权、科学写作和项目管理。马约还提供了一个 各种研究资源和设施，以协助这项研究，包括核心设施，如 显微镜和细胞分析核心，X射线成像核心，材料和结构测试核心。 申报项目通过开发以下产品满足TAVR瓣膜寿命的重要临床需求： 疲劳计算模型。计划的工作将利用机械测试数据和各种成像 提供宏观结构机械性能和微观结构纤维之间联系的技术 生理疲劳负荷造成的损伤。这些数据将被用来开发一个疲劳有限元 更准确地预测阀门机械磨损的模型。然后，可以使用该验证模型 在临床上使用患者脉管系统的医学成像来执行瓣膜性能的个性化模拟 改进阀门的选择和尺寸以延长使用寿命。此外，所提出的模型可用于 加强监管批准，允许对多种设计进行疲劳性能和寿命评估， 模拟生理环境。这些应用可以提高阀门的寿命， 瓣膜置换频率显著降低主动脉瓣疾病负担。