Literature DB >> 31035073

On the role of material properties in ascending thoracic aortic aneurysms.

Federica Cosentino1, Valentina Agnese2, Giuseppe M Raffa2, Giovanni Gentile2, Diego Bellavia2, Massimiliano Zingales3, Michele Pilato2, Salvatore Pasta4.   

Abstract

One of the obstacles standing before the biomechanical analysis of an ascending thoracic aortic aneurysm (ATAA) is the difficulty in obtaining patient-specific material properties. This study aimed to evaluate differences on ATAA-related stress predictions resulting from the elastostatic analysis based on the optimization of arbitrary material properties versus the application of patient-specific material properties determined from ex-vivo biaxial testing. Specifically, the elastostatic analysis relies the on the fact that, if the aortic wall stress does not depend on material properties, the aorta has to be statistically determinate. Finite element analysis (FEA) was applied to a group of nine patients who underwent both angio-CT imaging to reconstruct ATAA anatomies and surgical repair of diseased aorta to collect tissue samples for experimental material testing. Tissue samples cut from excised ATAA rings were tested under equibiaxial loading conditions to obtain experimentally-derived material parameters by fitting stress-strain profiles. FEAs were carried out using both optimized and experimentally-derived material parameters to predict and compare the stress distribution using the mean absolute percentage error (MAPE). Although physiological strains were below yield point (range of 0.08-0.25), elastostatic analysis led to errors on the stress predictions that depended on the type of constitutive model (highest MAPE of 0.7545 for Yeoh model and 0.7683 for Fung model) and ATAA geometry (lowest MAPE of 0.0349 for patient P.7). Elastostatic analysis needs better understanding of its application for determining aneurysm mechanics, and patient-specific material parameters are essential for reliable accurate stress predictions in ATAAs.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aortic aneurysm failure; Ascending aortic aneurysm; Finite-element analysis; Inverse approach; Material parameters

Year:  2019        PMID: 31035073     DOI: 10.1016/j.compbiomed.2019.04.022

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Clinical-pathological correlations of BAV and the attendant thoracic aortopathies. Part 1: Pluridisciplinary perspective on their hemodynamics and morphomechanics.

Authors:  Ares Pasipoularides
Journal:  J Mol Cell Cardiol       Date:  2019-05-28       Impact factor: 5.000

Review 2.  Image-Based Finite Element Modeling Approach for Characterizing In Vivo Mechanical Properties of Human Arteries.

Authors:  Liang Wang; Akiko Maehara; Rui Lv; Xiaoya Guo; Jie Zheng; Kisten L Billiar; Gary S Mintz; Dalin Tang
Journal:  J Funct Biomater       Date:  2022-09-11

3.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

Authors:  Simona Celi; Emanuele Vignali; Katia Capellini; Emanuele Gasparotti
Journal:  Front Med Technol       Date:  2021-12-01
  3 in total

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