Patient-Based Abdominal Aortic Aneurysm Rupture Risk Prediction with Fluid Structure Interaction Modeling |
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Authors: | Michalis Xenos Suraj H Rambhia Yared Alemu Shmuel Einav Nicos Labropoulos Apostolos Tassiopoulos John J Ricotta Danny Bluestein |
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Institution: | (1) Department of Biomedical Engineering, Stony Brook University, HSC T18-030, Stony Brook, NY 11794-8181, USA;(2) Department of Surgery, Washington Hospital Center, Washington, DC, USA;(3) Department of Surgery, Stony Brook University Hospital, Stony Brook, NY, USA; |
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Abstract: | Elective repair of abdominal aortic aneurysm (AAA) is warranted when the risk of rupture exceeds that of surgery, and is mostly
based on the AAA size as a crude rupture predictor. A methodology based on biomechanical considerations for a reliable patient-specific
prediction of AAA risk of rupture is presented. Fluid–structure interaction (FSI) simulations conducted in models reconstructed
from CT scans of patients who had contained ruptured AAA (rAAA) predicted the rupture location based on mapping of the stresses
developing within the aneurysmal wall, additionally showing that a smaller rAAA presented a higher rupture risk. By providing
refined means to estimate the risk of rupture, the methodology may have a major impact on diagnostics and treatment of AAA
patients. |
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