| Literature DB >> 24554200 |
Barry J Doyle1, Timothy M McGloughlin, Karol Miller, Janet T Powell, Paul E Norman.
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.Entities:
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Year: 2014 PMID: 24554200 DOI: 10.1007/s00270-014-0864-7
Source DB: PubMed Journal: Cardiovasc Intervent Radiol ISSN: 0174-1551 Impact factor: 2.740