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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10248439" target="_blank" >RIV/61989100:27230/21:10248439 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1002/cnm.3554" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/cnm.3554</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/cnm.3554" target="_blank" >10.1002/cnm.3554</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 ; (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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/LTAUSA18134" target="_blank" >LTAUSA18134: Computational stochastic rupture risk assessment of abdominal aortic aneurysm</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal for Numerical Methods in Biomedical Engineering

  • ISSN

    2040-7939

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    Prosinec

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

  • UT code for WoS article

    000724901700001

  • EID of the result in the Scopus database