In this work, we present a computational model for plaque growth utilizing magnetic resonance data of a patient's carotid artery. More specifically, we model blood flow utilizing the Navier-Stokes equations, as well as LDL and HDL transport using the convection-diffusion equation in the arterial lumen. The accumulated LDL in the arterial wall is oxidized considering the protective effect of HDL. Macrophages recruitment and foam cells formation are the final step of the proposed multi-level modeling approach of the plaque growth. The simulated results of our model are compared with the follow-up MRI findings in 12 months regarding the change to the arterial wall thickness. WSS and LDL may indicate potential regions of plaque growth (R2=0.35), but the contribution of foam cells formation, macrophages and oxidized LDL increased the prediction significantly (R2=0.75).

dx.doi.org/10.1109/EMBC.2015.7319894, hdl.handle.net/1765/88516
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
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Department of Cardio-Thoracic Surgery

Sakellarios, A.I, Bizopoulos, P, Stefanou, K, Athanasiou, L.S, Papafaklis, M.I, Bourantas, C.V, … Fotiadis, D.I. (2015). A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries. Presented at the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. doi:10.1109/EMBC.2015.7319894