{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:47:10Z","timestamp":1787312830183,"version":"build-2736575974"},"reference-count":61,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T00:00:00Z","timestamp":1638403200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP2001689"],"award-info":[{"award-number":["APP2001689"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Numer Methods Biomed Eng"],"published-print":{"date-parts":[[2022,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    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\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/bioparr.mech.uwa.edu.au\/\">https:\/\/bioparr.mech.uwa.edu.au\/<\/jats:ext-link>\n                    ; (b) More complex and much more computationally demanding Non\u2010Linear Iterative Stress Analysis (Non\u2010LISA) that uses a non\u2010linear inverse iterative approach and strongly non\u2010linear 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\u2010linear 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\u2010LISA in distinguishing between the AAAs that would rupture and remain intact was for practical purposes the same for both methods.\n                  <\/jats:p>","DOI":"10.1002\/cnm.3554","type":"journal-article","created":{"date-parts":[[2021,11,21]],"date-time":"2021-11-21T23:40:20Z","timestamp":1637538020000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["On stress in abdominal aortic aneurysm: Linear versus non\u2010linear analysis and aneurysm rupture risk"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9780-8361","authenticated-orcid":false,"given":"Adam","family":"Wittek","sequence":"first","affiliation":[{"name":"Intelligent Systems for Medicine Laboratory The University of Western Australia  Perth Western Australia Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3367-0353","authenticated-orcid":false,"given":"Farah","family":"Alkhatib","sequence":"additional","affiliation":[{"name":"Intelligent Systems for Medicine Laboratory The University of Western Australia  Perth Western Australia Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3858-9976","authenticated-orcid":false,"given":"Radek","family":"Vit\u00e1sek","sequence":"additional","affiliation":[{"name":"Department of Applied Mechanics VSB Technical University of Ostrava  Ostrava Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5439-2009","authenticated-orcid":false,"given":"Stanislav","family":"Polzer","sequence":"additional","affiliation":[{"name":"Department of Applied Mechanics VSB Technical University of Ostrava  Ostrava Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6577-2082","authenticated-orcid":false,"given":"Karol","family":"Miller","sequence":"additional","affiliation":[{"name":"Intelligent Systems for Medicine Laboratory The University of Western Australia  Perth Western Australia Australia"},{"name":"Brigham and Women's Hospital, Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"e_1_2_6_2_1","unstructured":"ANZSVS.Patient information \u2010 Aortic aneurysm screening 2017. 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