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.
| Original language | English |
|---|---|
| Pages (from-to) | 815-818 |
| Number of pages | 4 |
| Journal | CardioVascular and Interventional Radiology |
| Volume | 37 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2014 |
Keywords
- Abdominal aortic aneurysm
- Computational model
- Risk
- Rupture
- Wall stress