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Sun et al. Vessel Plus 2020;4:13 Vessel Plus
DOI: 10.20517/2574-1209.2020.02

Original Article Open Access

Risk evaluation of abdominal aortic aneurysms
based on both sex and morphology

An-Qiang Sun , Ya-Xing Zhang , Zai-Pin Xu , Shu-Qi Ren , Xiao-Yan Deng , Robert Guidoin 1,3
2
1
1
1,#
1,#
1 Beijing Advanced Innovation Center for Biomedical Engineering&Key Laboratory for Biomechanics and Mechanobiology of
Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China.
2 College of Animal Science, Guizhou University, Guiyang 550025, Guizhou, China.
3 Department of Surgery, Faculty of Medicine, Université Laval and CHU de Québec Research Centre, Québec, QC Canada G1A
0A6, Canada.
# Authors contributed equally.
Correspondence to: Prof. Xiao-Yan Deng, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education,
School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China. E-mail: dengxy1953@buaa.edu.
cn; Prof. Robert Guidoin, Department of Surgery, Faculty of Medicine, Université Laval and CHU de Québec Research Centre,
Québec, QC Canada G1A 0A6, Canada. E-mail: robert.guidoin@fmed.ulaval.ca

How to cite this article: Sun AQ, Zhang YX, Xu ZP, Ren SQ, Deng XY, Guidoin R. Risk Evaluation of abdominal aortic aneurysms
based on both sex and morphology. Vessel Plus 2020;4:13. http://dx.doi.org/10.20517/2574-1209.2020.02
Received: 3 Jan 2020 First Decision: 21 Jan 2020 Revised: 26 Feb 2020 Accepted: 19 Mar 2020 Published: 16 May 2020
Received: First Decision: Revised: Accepted: Published: x Science Editor: Cristiano Spadaccio Copy Editor: Jing-Wen Zhang Production Editor: Jing Yu

Science Editor: Copy Editor: Production Editor: Jing Yu

Abstract
Aim: To predict the peak wall stress in abdominal aortic aneurysms (AAAs) considering both morphological factors
(maximum diameter, asymmetry index, and wall thickness) and sex differences, in order to assess the risk of AAA
rupture more accurately.

Methods: Basic models of AAA focusing on different sexes with a range of morphological parameters were
constructed. Using the Design-expert software for three-factor response surface methodology, 20 experimental
models were built as well with the SolidWorks software. Fluid-structure interaction analysis was used to obtain stress
distribution along the AAA wall. Polynomial regression equations were fitted to peak stresses in all experimental
models.

Results: Based on fluid-structure interaction simulation data in the nonlinear polynomial regression model, separate
equations for peak wall stress in AAA with regard to males and females were obtained. Morphological factors
and sex differences have significant influence on peak wall stress. In some models, even when the maximum AAA
diameter was relatively small, the peak wall stress became high. For the same maximal transverse measurement,
when the AAA wall was thin and the asymmetry index large, or the former was thick and the latter small, the peak

© The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0
International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
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and indicate if changes were made.

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