title: Hemodynamics-driven deposition of intraluminal thrombus in abdominal aortic aneurysms.
abstract: Accumulating evidence suggests that intraluminal thrombus plays many roles in the natural history of abdominal aortic aneurysms. There is, therefore, a pressing need for computational models that can describe and predict the initiation and progression of thrombus in aneurysms. In this paper, we introduce a phenomenological metric for thrombus deposition potential and use hemodynamic simulations based on medical images from 6 patients to identify best-fit values of the 2 key model parameters. We then introduce a shape optimization method to predict the associated radial growth of the thrombus into the lumen based on the expectation that thrombus initiation will create a thrombogenic surface, which in turn will promote growth until increasing hemodynamically induced frictional forces prevent any further cell or protein deposition. Comparisons between predicted and actual intraluminal thrombus in the 6 patient-specific aneurysms suggest that this phenomenological description provides a good first estimate of thrombus deposition. We submit further that, because the biologically active region of the thrombus appears to be confined to a thin luminal layer, predictions of morphology alone may be sufficient to inform fluid-solid-growth models of aneurysmal growth and remodeling.
authors: Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
authors: P
authors: P
authors: Di Achille
authors: Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.|Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, Connecticut, USA.
authors: G
authors: G
authors: Tellides
authors: Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.|Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, Connecticut, USA.
authors: J D
authors: JD
authors: Humphrey
mesh_terms: D017544:Aortic Aneurysm, Abdominal / Q000209:etiology / Q000473:pathology*; D018450:Disease Progression; D020342:Finite Element Analysis; D006439:Hemodynamics; D006801:Humans; D008955:Models, Cardiovascular; D013927:Thrombosis / Q000150:complications / Q000473:pathology*
keywords: aneurysm; computational fluid dynamics; optimization; shear stress; thrombus