Sakellarios Antonis I, Bizopoulos Paschalis, Stefanou Kostas, Athanasiou Lambros S, Papafaklis Michail I, Bourantas Christos V, Naka Katerina K, Michalis Lampros K, Fotiadis Dimitrios I
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6552-5. doi: 10.1109/EMBC.2015.7319894.
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 (R(2)=0.35), but the contribution of foam cells formation, macrophages and oxidized LDL increased the prediction significantly (R(2)=0.75).
在这项工作中，我们提出了一种利用患者颈动脉磁共振数据的斑块生长计算模型。更具体地说，我们使用纳维-斯托克斯方程对血流进行建模，并使用对流扩散方程对动脉腔内的低密度脂蛋白（LDL）和高密度脂蛋白（HDL）运输进行建模。考虑到HDL的保护作用，对动脉壁中积累的LDL进行氧化处理。巨噬细胞募集和泡沫细胞形成是所提出的斑块生长多级建模方法的最后一步。我们模型的模拟结果与12个月后的磁共振成像（MRI）随访结果进行了比较，涉及动脉壁厚度的变化。壁面切应力（WSS）和LDL可能表明斑块生长的潜在区域（R² = 0.35），但泡沫细胞形成、巨噬细胞和氧化LDL的作用显著提高了预测能力（R² = 0.75）。
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