Exarchos T P, Sakellarios A, Siogkas P K, Fotiadis D I, Milosevic Z, Nikolic D, Filipovic N, Marraccini P, Vozzi F, Parodi O
Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, University of Ioannina, Ioannina, GR 45110, Greece.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2893-6. doi: 10.1109/EMBC.2012.6346568.
We present a three-dimensional model of plaque formation and progression that was tested in a set of patients who underwent coronary Computed Tomography angiography (CTA) for anginal symptoms. The 3D blood flow is described by the Navier-Stokes equations, together with the continuity equation. Mass transfer within the blood lumen and through the arterial wall is coupled with the blood flow and is modeled by a convection-diffusion equation. The Low Density Lipoprotein (LDL) transports in lumen of the vessel and through the vessel tissue (which has a mass consumption term) are coupled by Kedem-Katchalsky equations. The inflammatory process is modeled using three additional reaction-diffusion partial differential equations. A full three-dimensional model was created. Furthermore, features potentially affecting plaque growth, such as patient risk score, circulating biomarkers, localization and composition of the initial plaque, and coronary vasodilating capability were also investigated. The proof of concept of the model effectiveness was assessed 6 months after the baseline evaluation.
我们展示了一个斑块形成和进展的三维模型,该模型在一组因心绞痛症状接受冠状动脉计算机断层扫描血管造影(CTA)的患者中进行了测试。三维血流由纳维-斯托克斯方程以及连续性方程描述。血流腔内和穿过动脉壁的质量传递与血流相耦合,并由对流扩散方程建模。血管腔内和穿过血管组织(具有质量消耗项)的低密度脂蛋白(LDL)运输通过凯德姆-卡查尔斯基方程耦合。炎症过程使用另外三个反应扩散偏微分方程建模。创建了一个完整的三维模型。此外,还研究了可能影响斑块生长的特征,如患者风险评分、循环生物标志物、初始斑块的定位和组成以及冠状动脉舒张能力。在基线评估6个月后评估了模型有效性的概念验证。