采用流体-结构相互作用方法评估经导管人工心脏瓣膜的血栓形成风险

Kyle Baylous, Brandon Kovarovic, Salwa Anam, Ryan Helbock, Marvin Slepian, Danny Bluestein
{"title":"采用流体-结构相互作用方法评估经导管人工心脏瓣膜的血栓形成风险","authors":"Kyle Baylous, Brandon Kovarovic, Salwa Anam, Ryan Helbock, Marvin Slepian, Danny Bluestein","doi":"arxiv-2406.12156","DOIUrl":null,"url":null,"abstract":"Prosthetic heart valve interventions such as TAVR have surged over the past\ndecade, but the associated complication of long-term, life-threatening\nthrombotic events continues to undermine patient outcomes. Thus, improving\nthrombogenic risk analysis of TAVR devices is crucial. In vitro studies for\nthrombogenicity are typically difficult to perform. However, revised ISO\ntesting standards include computational testing for thrombogenic risk\nassessment of cardiovascular implants. We present a fluid-structure interaction\n(FSI) approach for assessing thrombogenic risk of prosthetic heart valves. An FSI framework was implemented via the incompressible computational fluid\ndynamics multi-physics solver of the Ansys LS-DYNA software. The numerical\nmodeling approach for flow analysis was validated by comparing the derived flow\nrate of the 29-mm CoreValve device from benchtop testing and orifice areas of\ncommercial TAVR valves in the literature to in silico results. Thrombogenic\nrisk was analyzed by computing stress accumulation (SA) on virtual platelets\nseeded in the flow fields via Ansys EnSight. The integrated FSI-thrombogenicity\nmethodology was subsequently employed to examine hemodynamics and thrombogenic\nrisk of TAVR devices with two approaches: 1) engineering optimization and 2)\nclinical assessment. Our methodology can be used to improve the thromboresistance of prosthetic\nvalves from the initial design stage to the clinic. It allows for unparalleled\noptimization of devices, uncovering key TAVR leaflet design parameters that can\nbe used to mitigate thrombogenic risk, in addition to patient-specific modeling\nto evaluate device performance. This work demonstrates the utility of advanced\nin silico analysis of TAVR devices that can be utilized for thrombogenic risk\nassessment of other blood recirculating devices.","PeriodicalId":501572,"journal":{"name":"arXiv - QuanBio - Tissues and Organs","volume":"359 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thrombogenic Risk Assessment of Transcatheter Prosthetic Heart Valves Using a Fluid-Structure Interaction Approach\",\"authors\":\"Kyle Baylous, Brandon Kovarovic, Salwa Anam, Ryan Helbock, Marvin Slepian, Danny Bluestein\",\"doi\":\"arxiv-2406.12156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prosthetic heart valve interventions such as TAVR have surged over the past\\ndecade, but the associated complication of long-term, life-threatening\\nthrombotic events continues to undermine patient outcomes. Thus, improving\\nthrombogenic risk analysis of TAVR devices is crucial. In vitro studies for\\nthrombogenicity are typically difficult to perform. However, revised ISO\\ntesting standards include computational testing for thrombogenic risk\\nassessment of cardiovascular implants. We present a fluid-structure interaction\\n(FSI) approach for assessing thrombogenic risk of prosthetic heart valves. An FSI framework was implemented via the incompressible computational fluid\\ndynamics multi-physics solver of the Ansys LS-DYNA software. The numerical\\nmodeling approach for flow analysis was validated by comparing the derived flow\\nrate of the 29-mm CoreValve device from benchtop testing and orifice areas of\\ncommercial TAVR valves in the literature to in silico results. Thrombogenic\\nrisk was analyzed by computing stress accumulation (SA) on virtual platelets\\nseeded in the flow fields via Ansys EnSight. The integrated FSI-thrombogenicity\\nmethodology was subsequently employed to examine hemodynamics and thrombogenic\\nrisk of TAVR devices with two approaches: 1) engineering optimization and 2)\\nclinical assessment. Our methodology can be used to improve the thromboresistance of prosthetic\\nvalves from the initial design stage to the clinic. It allows for unparalleled\\noptimization of devices, uncovering key TAVR leaflet design parameters that can\\nbe used to mitigate thrombogenic risk, in addition to patient-specific modeling\\nto evaluate device performance. This work demonstrates the utility of advanced\\nin silico analysis of TAVR devices that can be utilized for thrombogenic risk\\nassessment of other blood recirculating devices.\",\"PeriodicalId\":501572,\"journal\":{\"name\":\"arXiv - QuanBio - Tissues and Organs\",\"volume\":\"359 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Tissues and Organs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.12156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Tissues and Organs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.12156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在过去十年中,TAVR 等人工心脏瓣膜介入手术的数量激增,但与之相关的长期、危及生命的血栓事件并发症继续损害着患者的预后。因此,改进 TAVR 设备的血栓形成风险分析至关重要。血栓形成的体外研究通常很难进行。然而,修订后的 ISO 测试标准包括了心血管植入物血栓形成风险评估的计算测试。我们介绍了一种用于评估人工心脏瓣膜血栓形成风险的流体-结构相互作用(FSI)方法。FSI 框架是通过 Ansys LS-DYNA 软件的不可压缩计算流体动力学多物理场求解器实现的。通过比较台式测试得出的 29 毫米 CoreValve 装置的流速和文献中商用 TAVR 瓣膜的孔面积与硅学结果,验证了流动分析的数值建模方法。通过 Ansys EnSight 计算流场中虚拟血小板的应力累积 (SA),分析血栓形成风险。综合 FSI-血栓形成方法随后被用于通过两种方法检查 TAVR 装置的血液动力学和血栓形成风险:1)工程优化;2)临床评估。我们的方法可用于提高人工瓣膜从初始设计阶段到临床应用的抗血栓能力。它可以对设备进行无与伦比的优化,发现关键的 TAVR 瓣叶设计参数,这些参数可用于降低血栓形成风险,此外还可以进行患者特异性建模以评估设备性能。这项工作展示了先进的 TAVR 设备硅学分析的实用性,可用于其他血液再循环设备的血栓形成风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Thrombogenic Risk Assessment of Transcatheter Prosthetic Heart Valves Using a Fluid-Structure Interaction Approach
Prosthetic heart valve interventions such as TAVR have surged over the past decade, but the associated complication of long-term, life-threatening thrombotic events continues to undermine patient outcomes. Thus, improving thrombogenic risk analysis of TAVR devices is crucial. In vitro studies for thrombogenicity are typically difficult to perform. However, revised ISO testing standards include computational testing for thrombogenic risk assessment of cardiovascular implants. We present a fluid-structure interaction (FSI) approach for assessing thrombogenic risk of prosthetic heart valves. An FSI framework was implemented via the incompressible computational fluid dynamics multi-physics solver of the Ansys LS-DYNA software. The numerical modeling approach for flow analysis was validated by comparing the derived flow rate of the 29-mm CoreValve device from benchtop testing and orifice areas of commercial TAVR valves in the literature to in silico results. Thrombogenic risk was analyzed by computing stress accumulation (SA) on virtual platelets seeded in the flow fields via Ansys EnSight. The integrated FSI-thrombogenicity methodology was subsequently employed to examine hemodynamics and thrombogenic risk of TAVR devices with two approaches: 1) engineering optimization and 2) clinical assessment. Our methodology can be used to improve the thromboresistance of prosthetic valves from the initial design stage to the clinic. It allows for unparalleled optimization of devices, uncovering key TAVR leaflet design parameters that can be used to mitigate thrombogenic risk, in addition to patient-specific modeling to evaluate device performance. This work demonstrates the utility of advanced in silico analysis of TAVR devices that can be utilized for thrombogenic risk assessment of other blood recirculating devices.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Clinical Validation of a Real-Time Machine Learning-based System for the Detection of Acute Myeloid Leukemia by Flow Cytometry Dynamic landscapes and statistical limits on growth during cell fate specification (Un)buckling mechanics of epithelial monolayers under compression On the design and stability of cancer adaptive therapy cycles: deterministic and stochastic models Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1