Evaluating the haemodynamic performance of endografts for complex aortic arch repair
File(s)
Published version
Author(s)
Sengupta, Sampad
Zhu, Yu
Hamady, Mohamad
Xu, Xiao
Type
Journal Article
Abstract
Thoracic endovascular aortic repair (TEVAR) of aortic aneurysms and dissections involving the arch has evolved over the last two decades. Compared to conventional surgical methods, endovascular repair offers a less invasive treatment option with lower risk and faster recovery. Endografts used in TEVAR vary in design depending on the procedure and application. Novel endografts (e.g., branched stent-graft) were developed to ensure perfusion of blood to the supra-aortic vessels, but their haemodynamic performance and long-term durability have not been adequately studied. This review focuses on the use of computational modelling to study haemodynamics in commercially available endografts designed for complex aortic arch repair. First, we summarise the currently adopted workflow for computational fluid dynamics (CFD) modelling, including geometry reconstruction, boundary conditions, flow models, and haemodynamic metrics of interest. This is followed by a review of recently (2010-present) published CFD studies on complex aortic arch repair, using both idealized and patient-specific models. Finally, we introduce some of the promising techniques that can be potentially applied to predict post-operative outcomes.
Date Issued
2022-10-18
Date Acceptance
2022-10-12
Citation
Bioengineering, 2022, 9 (10)
ISSN
2306-5354
Publisher
MDPI
Journal / Book Title
Bioengineering
Volume
9
Issue
10
Copyright Statement
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and
conditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.orglicensesby/4.0/).
This article is an open access article distributed under the terms and
conditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.orglicensesby/4.0/).
License URL
Publication Status
Published
Article Number
ARTN 573