On stress in abdominal aortic aneurysm: Linear versus non-linear analysis and aneurysm rupture risk

Int J Numer Method Biomed Eng. 2022 Feb;38(2):e3554. doi: 10.1002/cnm.3554. Epub 2021 Dec 2.

Abstract

We present comprehensive biomechanical analyses of abdominal aortic aneurysms (AAA) for 43 patients. We compare stress magnitudes and stress distributions within arterial walls of abdominal aortic aneurysms (AAA) obtained using two simulation and modelling methods: (a) Fully automated and computationally very efficient linear method embedded in the software platform Biomechanics based Prediction of Aneurysm Rupture Risk (BioPARR), freely available from https://bioparr.mech.uwa.edu.au/; (b) More complex and much more computationally demanding Non-Linear Iterative Stress Analysis (Non-LISA) that uses a non-linear inverse iterative approach and strongly non-linear material model. Both methods predicted localised high stress zones with over 90% of AAA model volume fraction subjected to stress below 20% of the 99th percentile maximum principal stress. However, for the non-linear iterative method, the peak maximum principal stress (and 99th percentile maximum principal stress) was higher and the stress magnitude in the low stress area lower than for the automated linear method embedded in BioPARR. Differences between the stress distributions obtained using the two methods tended to be particularly pronounced in the areas where the AAA curvature was large. Performance of the selected characteristic features of the stress fields (we used 99th percentile maximum principal stress) obtained using BioPARR and Non-LISA in distinguishing between the AAAs that would rupture and remain intact was for practical purposes the same for both methods.

Keywords: abdominal aortic aneurysm; finite element method; patient-specific modelling; rupture; stress.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aorta, Abdominal
  • Aortic Aneurysm, Abdominal*
  • Aortic Rupture*
  • Biomechanical Phenomena
  • Finite Element Analysis
  • Humans
  • Models, Cardiovascular
  • Stress, Mechanical