Publication detail

Applicability of simplified computational models in prediction of peak wall stress in abdominal aortic aneurysms

NOVÁK, K. POLZER, S. BURŠA, J.

Original Title

Applicability of simplified computational models in prediction of peak wall stress in abdominal aortic aneurysms

Type

journal article in Web of Science

Language

English

Original Abstract

In the paper impact of different material models on the calculated peak wall stress (PWS) and peak wall rupture risk (PWRR) in abdominal aortic aneurysms (AAAs) is assessed. Computational finite element models of 70 patient-specific AAAs were created using two different material models – a realistic one based on mean population results of uniaxial tests of AAA wall considered as reference, and a 100 times stiffer artificial model. The calculated results of PWS and PWRR were tested to evaluate statistical significance of differences caused by the non-realistic material model. It was shown that for majority of AAAs the differences are insignificant but for some 10% of them their relative differences exceed 20% which may lead to incorrect decisions on their surgical treatment. This percentage of failures favours application of realistic material models in clinical practise although they are much more time-consuming.

Keywords

Abdominal aortic aneurysm, peak wall stress, finite element model

Authors

NOVÁK, K.; POLZER, S.; BURŠA, J.

Released

2. 3. 2018

Publisher

IOS Press

Location

Amsterdam, Nizozemsko

ISBN

0928-7329

Periodical

Technology and Health Care, Int. Journal of Health Care Engineering

Year of study

26

Number

1

State

Kingdom of the Netherlands

Pages from

165

Pages to

173

Pages count

9

URL

https://content.iospress.com/articles/technology-and-health-care/thc171024

BibTex

@article{BUT143315,
  author="Kamil {Novák} and Stanislav {Polzer} and Jiří {Burša}",
  title="Applicability of simplified computational models in prediction of peak wall stress in abdominal aortic aneurysms",
  journal="Technology and Health Care, Int. Journal of Health Care Engineering",
  year="2018",
  volume="26",
  number="1",
  pages="165--173",
  doi="10.3233/THC-171024",
  issn="0928-7329",
  url="https://content.iospress.com/articles/technology-and-health-care/thc171024"
}