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.

项目摘要/摘要 候选人拥有博士学位。英国谢菲尔德大学的机械工程学专业 梅奥诊所的研究助理。他的研究兴趣是心血管计算领域 生物力学及其博士后工作调查了动脉粥样硬化动脉和主动脉的机制 具有有限元建模的阀。通过完成他的博士后培训，候选人的目标是 从修补到独立研究的过渡，并在一项重大研究中开始任期教师职位 大学。 K99/R00机制为完成这一目标提供了绝佳的机会。 候选人的主要导师Amir Lerman博士拥有丰富的研究经验，并经营 研究实验室在整个职业生涯中都成功地为几个领域做出了众多贡献 心血管医学。梅利莎·杨（Melissa Young）博士拥有广泛的行业和学术经验 替换主动脉瓣设计和测试。该项目的联合学家Dan Dragomir-Daescu博士也有 学术和行业在医疗设备的开发和评估方面的经验。最后的共同 导师杰弗里·索尔兹伯里（Jeffery Salisbury）教授在显微镜技术方面拥有丰富的经验，并且是 Mayo Clinic的显微镜和细胞分析核心设施，也具有丰富的学术经验。 与他的导师合作，候选人将培训疲劳力学，医学图像处理，显微镜， 和计算建模。候选人还将培训其他基本技能，包括 研究结果，心理，授予技巧，科学写作和项目管理。梅奥还提供 各种研究资源和设施来协助这项研究，包括核心设施，例如 显微镜和细胞分析核心，X射线成像芯以及材料和结构测试核心。 拟议的项目解决了通过开发TAVR阀长寿的重要临床需求 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 提供宏结构机械性能与微结构光纤之间的联系的技术 物理疲劳负荷损坏。然后，这些数据将用于开发疲劳有限元 更准确地预测阀机械磨损的型号。然后可以使用此验证的模型 在临床上使用患者脉管系统的医学成像进行瓣膜性能的个性化模拟 改善阀门选择和尺寸以改善寿命。此外，提出的模型可用于 增强法规批准，允许评估多种设计的疲劳性能和寿命 模拟物理环境。这些应用可以改善阀的寿命，从而减少 瓣膜置换的频率大大减少了主动脉瓣疾病的燃烧。