Fluid–structure interaction study for biomechanics and risk factors in Stanford type A aortic dissection

Author:

Wang Xiaochen1ORCID,Ghayesh Mergen H.1,Kotousov Andrei1,Zander Anthony C.1,Dawson Joseph A.234,Psaltis Peter J.456

Affiliation:

1. School of Mechanical Engineering University of Adelaide Adelaide Australia

2. Department of Vascular & Endovascular Surgery Royal Adelaide Hospital Adelaide Australia

3. Trauma Surgery Unit Royal Adelaide Hospital Adelaide Australia

4. Adelaide Medical School University of Adelaide Adelaide Australia

5. Vascular Research Centre, Lifelong Health Theme South Australian Health & Medical Research Institute (SAHMRI) Adelaide Australia

6. Department of Cardiology Central Adelaide Local Health Network Adelaide Australia

Abstract

AbstractAortic dissection is a life‐threatening condition with a rising prevalence in the elderly population, possibly as a consequence of the increasing population life expectancy. Untreated aortic dissection can lead to myocardial infarction, aortic branch malperfusion or occlusion, rupture, aneurysm formation and death. This study aims to assess the potential of a biomechanical model in predicting the risks of a non‐dilated thoracic aorta with Stanford type A dissection. To achieve this, a fully coupled fluid–structure interaction model was developed under realistic blood flow conditions. This model of the aorta was developed by considering three‐dimensional artery geometry, multiple artery layers, hyperelastic artery wall, in vivo‐based physiological time‐varying blood velocity profiles, and non‐Newtonian blood behaviours. The results demonstrate that in a thoracic aorta with Stanford type A dissection, the wall shear stress (WSS) is significantly low in the ascending aorta and false lumen, leading to potential aortic dilation and thrombus formation. The results also reveal that the WSS is highly related to blood flow patterns. The aortic arch region near the brachiocephalic and left common carotid artery is prone to rupture, showing a good agreement with the clinical reports. The results have been translated into their potential clinical relevance by revealing the role of the stress state, WSS and flow characteristics as the main parameters affecting lesion progression, including rupture and aneurysm. The developed model can be tailored for patient‐specific studies and utilised as a predictive tool to estimate aneurysm growth and initiation of wall rupture inside the human thoracic aorta.

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

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