Applicability of simplified computational models in prediction of peak wall stress in abdominal aortic aneurysms

2018 ◽  
Vol 26 (1) ◽  
pp. 165-173
Author(s):  
Kamil Novak ◽  
Stanislav Polzer ◽  
Jiri Bursa
2008 ◽  
Vol 47 (1) ◽  
pp. 17-22 ◽  
Author(s):  
Michael S. Heng ◽  
Michael J. Fagan ◽  
Jason W. Collier ◽  
Grishma Desai ◽  
Peter T. McCollum ◽  
...  

Author(s):  
Evelyne van Dam ◽  
Marcel Rutten ◽  
Frans van de Vosse

Rupture risk of abdominal aortic aneurysms (AAA) based on wall stress analysis may be superior to the currently used diameter-based rupture risk prediction [4; 5; 6; 7]. In patient specific computational models for wall stress analysis, the geometry of the aneurysm is obtained from CT or MR images. The wall thickness and mechanical properties are mostly assumed to be homogeneous. The pathological AAA vessel wall may contain collageneous areas, but also calcifications, cholesterol crystals and large amounts of fat cells. No research has yet focused yet on the differences in mechanical properties of the components present within the degrading AAA vessel wall.


2010 ◽  
Vol 39 (3) ◽  
pp. 302-304 ◽  
Author(s):  
E. Georgakarakos ◽  
C.V. Ioannou ◽  
Y. Papaharilaou ◽  
T. Kostas ◽  
D. Tsetis ◽  
...  

Author(s):  
Evelyne van Dam ◽  
Marcel Rutten ◽  
Frans van de Vosse

Rupture of an abdominal aortic aneurysm (AAA) is a major cause of death in the Western world. When the AAA is diagnosed timely, rupture can be prevented by conventional surgical or by endovascular repair. To date, the decision to operate is based on geometry alone, but it has already been suggested that wall stress would be a better predictor [2]. Patient specific computational models have been developed to calculate wall stress [2; 5; 9; 8; 10]. In these models, the AAA wall is assumed to be homogeneous. Patient-specific inhomogeneities such as atherosclerotic plaques and calcifications have large effects on the maximum wall stress and wall stress distribution [6; 7]. Histological examination is not feasible for determining wall composition of patients.


Sign in / Sign up

Export Citation Format

Share Document