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

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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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Authors and Affiliations

  1. Department of Biomedical Engineering, Stony Brook University, HSC T18-030, Stony Brook, NY, 11794-8181, USA

    Michalis Xenos, Suraj H. Rambhia, Yared Alemu, Shmuel Einav & Danny Bluestein

  2. Department of Surgery, Washington Hospital Center, Washington, DC, USA

    John J. Ricotta

  3. Department of Surgery, Stony Brook University Hospital, Stony Brook, NY, USA

    Nicos Labropoulos, Apostolos Tassiopoulos & John J. Ricotta

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  1. Michalis Xenos
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  2. Suraj H. Rambhia
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  3. Yared Alemu
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  4. Shmuel Einav
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Correspondence to Danny Bluestein.

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Associate Editor Peter E. McHugh oversaw the review of this article.

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Xenos, M., Rambhia, S.H., Alemu, Y. et al. Patient-Based Abdominal Aortic Aneurysm Rupture Risk Prediction with Fluid Structure Interaction Modeling. Ann Biomed Eng 38, 3323–3337 (2010). https://doi.org/10.1007/s10439-010-0094-3

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