title: Patient-based abdominal aortic aneurysm rupture risk prediction with fluid structure interaction modeling.
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.
authors.affiliation: Department of Biomedical Engineering, Stony Brook University, HSC T18-030, Stony Brook, NY 11794-8181, USA.
authors.forename: Michalis
authors.initials: M
authors.lastname: Xenos
authors.forename: Suraj H
authors.initials: SH
authors.lastname: Rambhia
authors.forename: Yared
authors.initials: Y
authors.lastname: Alemu
authors.forename: Shmuel
authors.initials: S
authors.lastname: Einav
authors.forename: Nicos
authors.initials: N
authors.lastname: Labropoulos
authors.forename: Apostolos
authors.initials: A
authors.lastname: Tassiopoulos
authors.forename: John J
authors.initials: JJ
authors.lastname: Ricotta
authors.forename: Danny
authors.initials: D
authors.lastname: Bluestein
mesh_terms: D017544:Aortic Aneurysm, Abdominal / Q000150:complications / Q000000981:diagnostic imaging / Q000503:physiopathology; D001019:Aortic Rupture / Q000209:etiology / Q000503:physiopathology; D023881:Colonography, Computed Tomographic / Q000379:methods; D006801:Humans; D008955:Models, Cardiovascular; D011237:Predictive Value of Tests; D012307:Risk Factors