Patient Specific Transcatheter Aortic Valve Replacement Therapy Pathway with Computational Fluid Structure Interaction Analysis

Onur Mutlu, H. Yalcin
{"title":"Patient Specific Transcatheter Aortic Valve Replacement Therapy Pathway with Computational Fluid Structure Interaction Analysis","authors":"Onur Mutlu, H. Yalcin","doi":"10.29117/quarfe.2021.0084","DOIUrl":null,"url":null,"abstract":"Total cardiovascular disease (CVD) prevalence has risen dramatically from 271 million in 1990 to 523 million in 2019, and CVD fatalities rose gradually from 12.1 million in 1990 to 18.6 million in 2019. According to American Heart Association statistics, annual heart valve procedures in the United States were above 100,000 in 2013, with approximately 50,000 AV replacements. The ideal replacement valve should be durable, resistant to thrombosis, and have excellent hemodynamics features. Transcatheter aortic valve replacement (TAVR) has been introduced about two decades ago as an alternative for minimally invasive implantation of new generation bioprosthetic heart valves. Computational modeling can be used during therapy planning for the selection of appropriate replacement valves for TAVR. In this NPRP funded project, we are establishing a mechanical and FSI analysis path, for a detailed patient-specific hemodynamics analysis for TAVR, considering the most important parameters affecting TAV efficiency. This approach will enable the choice of the most suitable TAV type and deployment position for the treatment. TAV which is crimped and placed into the catheter by mechanical analysis is deployed in a patient-specific geometry in a virtual treatment then contact pressure and the stress are measured on the aortic root, stent, and aortic leaflets. TAV performance indicators are determined by FSI analysis using coupled ABAQUS and Flow-vision software. With this advanced analysis and simulation path, we expect to estimate accurately the clinical TAVR parameters such as contact pressure, contact area, principal stress, etc. before the operation during therapy planning. This approach will help clinicians in optimal valve selection for TAVR patients.","PeriodicalId":9295,"journal":{"name":"Building Resilience at Universities: Role of Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Building Resilience at Universities: Role of Innovation and Entrepreneurship","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29117/quarfe.2021.0084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Total cardiovascular disease (CVD) prevalence has risen dramatically from 271 million in 1990 to 523 million in 2019, and CVD fatalities rose gradually from 12.1 million in 1990 to 18.6 million in 2019. According to American Heart Association statistics, annual heart valve procedures in the United States were above 100,000 in 2013, with approximately 50,000 AV replacements. The ideal replacement valve should be durable, resistant to thrombosis, and have excellent hemodynamics features. Transcatheter aortic valve replacement (TAVR) has been introduced about two decades ago as an alternative for minimally invasive implantation of new generation bioprosthetic heart valves. Computational modeling can be used during therapy planning for the selection of appropriate replacement valves for TAVR. In this NPRP funded project, we are establishing a mechanical and FSI analysis path, for a detailed patient-specific hemodynamics analysis for TAVR, considering the most important parameters affecting TAV efficiency. This approach will enable the choice of the most suitable TAV type and deployment position for the treatment. TAV which is crimped and placed into the catheter by mechanical analysis is deployed in a patient-specific geometry in a virtual treatment then contact pressure and the stress are measured on the aortic root, stent, and aortic leaflets. TAV performance indicators are determined by FSI analysis using coupled ABAQUS and Flow-vision software. With this advanced analysis and simulation path, we expect to estimate accurately the clinical TAVR parameters such as contact pressure, contact area, principal stress, etc. before the operation during therapy planning. This approach will help clinicians in optimal valve selection for TAVR patients.
经导管主动脉瓣置换术患者特异性治疗途径与计算流体结构相互作用分析
心血管疾病(CVD)总患病率从1990年的2.71亿急剧上升到2019年的5.23亿,心血管疾病死亡人数从1990年的1210万逐渐上升到2019年的1860万。根据美国心脏协会(American Heart Association)的统计数据,2013年,美国每年的心脏瓣膜手术超过10万例,其中约有5万例是人工心脏瓣膜置换。理想的替代瓣膜应耐用,抗血栓形成,并具有良好的血流动力学特征。经导管主动脉瓣置换术(TAVR)作为新一代生物人工心脏瓣膜微创植入的一种替代方法,大约在20年前被引入。计算模型可以在治疗计划中用于选择合适的TAVR替代瓣膜。在这个NPRP资助的项目中,我们正在建立一个机械和FSI分析路径,用于详细的TAVR患者特异性血流动力学分析,考虑影响TAV效率的最重要参数。这种方法可以选择最合适的TAV类型和部署位置。通过力学分析将TAV卷曲并放入导管中,在虚拟治疗中以患者特定的几何形状展开,然后测量主动脉根部、支架和主动脉小叶上的接触压力和应力。TAV的性能指标由FSI分析确定,使用耦合ABAQUS和Flow-vision软件。通过这种先进的分析和模拟路径,我们期望在治疗计划中准确地估计手术前TAVR的临床参数,如接触压力、接触面积、主应力等。这种方法将有助于临床医生对TAVR患者进行最佳瓣膜选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信