Patient-Based Abdominal Aortic Aneurysm Rupture Risk Prediction with Fluid Structure Interaction Modeling

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• 作者：Michalis Xenos ; Suraj H. Rambhia ; Yared Alemu ; Shmuel Einav ; Nicos Labropoulos ; Apostolos Tassiopoulos ; John J. Ricotta and Danny Bluestein
• 关键词：Ruptured abdominal aortic aneurysm ; Aneurysmal strength ; Rupture potential index ; Fluid&#8211 ; structure interaction ; Reconstruction of patient based geometry
• 刊名：Annals of Biomedical Engineering
• 出版年：2010
• 出版时间：November 2010
• 年：2010
• 卷：38
• 期：11
• 页码：3323-3337
• 全文大小：969.3 KB

文摘

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.