Regions of High Wall Stress Can Predict the Future Location of Rupture of Abdominal Aortic Aneurysm
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Predicting the wall stress in abdominal aortic aneurysm (AAA) using computational modeling may be a useful adjunct to traditional clinical parameters that indicate the risk of rupture. Maximum diameter has been shown to have many limitations, and using current technology it is possible to provide a patient-specific computational risk assessment using routinely acquired medical images. We present a case of AAA rupture where the exact rupture point was clearly visible on the computed tomography (CT) images. A blind computational study based on CT scans acquired 4 months earlier predicted elevated wall stresses in the same region that later experienced rupture.
KeywordsAbdominal aortic aneurysm Computational model Wall stress Rupture Risk
This work was funded by The University of Western Australia Research Fellowship and the UWA ECM Research Development Award. The authors are grateful for assistance from staff in the Imaging Department of Fremantle Hospital.
Conflict of interest
Barry Doyle, Timothy McGloughlin, Karol Miller, Janet Powell, and Paul Norman have no conflict of interest to declare.