title: Regions of high wall stress can predict the future location of rupture of abdominal aortic aneurysm.
abstract: 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.
authors.affiliation: Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA, Australia, barry.doyle@uwa.edu.au.
authors.forename: Barry J
authors.initials: BJ
authors.lastname: Doyle
authors.forename: Timothy M
authors.initials: TM
authors.lastname: McGloughlin
authors.forename: Karol
authors.initials: K
authors.lastname: Miller
authors.forename: Janet T
authors.initials: JT
authors.lastname: Powell
authors.forename: Paul E
authors.initials: PE
authors.lastname: Norman
mesh_terms: D000369:Aged, 80 and over; D017544:Aortic Aneurysm, Abdominal / Q000000981:diagnostic imaging* / Q000503:physiopathology* / Q000601:surgery; D001019:Aortic Rupture / Q000000981:diagnostic imaging* / Q000503:physiopathology* / Q000601:surgery; D001696:Biomechanical Phenomena; D003287:Contrast Media; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D011237:Predictive Value of Tests; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D018570:Risk Assessment; D013314:Stress, Mechanical; D014057:Tomography, X-Ray Computed
chemical_list: D003287:Contrast Media