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Computer Predictive Model for Plaque Formation and Progression in the Artery
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Author(s): Nenad Filipovic (University of Kragujevac, Serbia), Milos Radovic (University of Kragujevac, Serbia), Dalibor D. Nikolic (University of Kragujevac, Serbia), Igor Saveljic (University of Kragujevac, Serbia), Zarko Milosevic (University of Kragujevac, Serbia), Themis P. Exarchos (University of Ioannina, Greece ), Gualtiero Pelosi (CNR Clinical Physiology Institute, Italy), Dimitrios I. Fotiadis (University of Ioannina, Greece & Institute of Molecular Biology and Biotechnology, Greece)and Oberdan Parodi (CNR Clinical Physiology Institute, Italy)
Copyright: 2019
Pages: 26
Source title:
Coronary and Cardiothoracic Critical Care: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-8185-7.ch012
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Abstract
In this chapter we described predictive model for plaque formation and progression in the coronary and carotid artery. A full three-dimensional model for plaque formation and progression, coupled with blood flow and LDL concentration is analysed. The Navier-Stokes equations together with the Darcy law for model blood filtration and Kedem-Katchalsky equations are implemented. Additionally, the system of three additional reaction-diffusion equations for simulation of the inflammatory process is coupled with full incremental iterative procedure. We developed hybrid genetic algorithm for fitting parameters of ODE model for oxidized LDL, macrophage, smooth muscle cell and foam cell concentration evolution in time. The animal carotid and coronary artery after 2 month of high fat diet are examined. We compared with CT our computer model of the plaque size for three groups of patients: De-novo, Old-lesions and Control patients. Detailed shear stress distributions for baseline and follow-up for these patients are given. There is a good matching for plaque size and location.
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