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Computational evaluation of interactive dynamics for a full transcatheter aortic valve device in a patient-specific aortic root

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posted on 2025-05-06, 14:44 authored by Jingwen ZhangJingwen Zhang, Ran He, Jia Wu, Zhihao Fang, Dong Liu, Andy GleadallAndy Gleadall, Liguo Zhao, Simin LiSimin Li

Transcatheter aortic valve implantation (TAVI) has become a key treatment for severe aortic stenosis, especially for patients unsuitable for surgery. Since its introduction in 2002, TAVI has advanced significantly due to improvements in imaging, operator skills, and device engineering. Despite these innovations, challenges in device sizing and positioning remain, complicating outcome predictions. Computational modelling is a powerful tool to aid TAVI device design and to understand its interactive behaviour with the aortic root during the deployment. Previous studies often simplified tissue properties, neglected patient-specific geometries or omitted crucial elements such as leaflets and fabric. This paper presents a numerical framework capable of simulating the whole crimping and deployment process of a full TAVI device in a patient-specific aortic root including the native leaflets and calcifications. We conduct a comprehensive investigation into the mechanical behaviour of the TAVI and its interactions with patient-specific aortic root through dynamic finite element analysis during the deployment process, with validation against experimental results. Additionally, we examined the influence of applied pressure during balloon inflation on the interactive dynamics of the entire model. The study concludes that selecting optimal balloon pressures is crucial for enhancing TAVI device performance and reducing complications. Numerical simulations demonstrate that appropriate balloon pressure ensures sufficient flow area and effective contact pressure between the TAVI and the aortic root, while minimising deformation and the risk of paravalvular leak.

Funding

Towards Innovation of Stented Pericardial Aortic Valves for Transcatheter Implantation

Engineering and Physical Sciences Research Council

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History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Computers in Biology and Medicine

Volume

185

Publisher

Elsevier Ltd

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Acceptance date

2024-12-01

Publication date

2024-12-14

Copyright date

2024

ISSN

0010-4825

Language

  • en

Depositor

Dr Simin Li. Deposit date: 11 December 2024

Article number

109512