A Computational Model Combining Vascular Biology and Haemodynamics for Thrombosis Prediction in Anatomically Accurate Cerebral Aneurysms

摘要: In spite of the fact that controlled thrombosis, induced via coiling, seems to be optimal approach for treatment cerebral saccular aneurysms, spontaneous and uncontrolled formation intrasaccular clots results in major embolism risk distal vasculature. Progress non-invasive imaging geometric reconstruction techniques allow us apply computational simulation tools a priori prediction thrombotic risk. Prior studies have either focused exclusively on modelling fluid dynamics realistic geometries or looking at biochemical kinetic descriptions idealized geometries. The present study provides comprehensive model thrombus by integrating (1) from Computer Tomography data; (2) arterial haemodynamics; (3) vascular biochemistry. This is accomplished using framework general purpose CFD software (CFD-ACE+). For this study, we demonstrate capacity technique predicting right internal carotid artery with two aneurysms very close each other. reveals significant difference haemodynamic thrombogenesis patterns further illustrating need more patient-specific based anatomically models. also allows incorporation advanced models concerning particulate nature platelets, aggregation effects, stenosis development so on, which will tackled future efforts.