Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/10415
Title: Modeling and correlation of plaque size with histological and blood analysis data for animal rabbit experiments
Authors: Radović M.
Milosevic Z.
Nikolic, Dalibor
Saveljic I.
Nikolic, Milica
Milun Petrović D.
Zdravković N.
Teng, Zhongzhao
Bird J.
Filipovic, Nenad
Journal: ECCOMAS Special Interest Conference - SEECCM 2013: 3rd South-East European Conference on Computational Mechanics, Proceedings - An IACM Special Interest Conference
Issue Date: 1-Jan-2013
Abstract: Atherosclerosis is becoming the number one cause of death worldwide. Animal experiments are very important to better understand physiological conditions for atherosclerosis development. We here examined influence of wall shear stress (WSS), histological and blood analysis data on the atherosclerosis lesion development for animal model. The histological cross-sections and blood analysis (cholesterol, HDL, LDL and triglycerides) data are provided from study of 19 rabbits fed by atherogenic diet at Cambridge University, within the ARTreat project research (www.artreat.kg.ac.rs). The Navier-Stokes and continuity equations were the governing equations for modeling fluid dynamics in the lumen. Convection diffusion equations were used for modeling LDL transport. For coupling fluid dynamics and solute dynamics Kedem-Katchalsky equations were used. Four regression models: multiple regression, polynomial regression, factorial regression and response surface regression are used for fitting experimental data for the plaque size. These models showed strong correlation between plaque size and input experimental data. The results represent a progress in the assessment of stroke risk for a given patient's geometry and blood analysis data.
URI: https://scidar.kg.ac.rs/handle/123456789/10415
Type: Conference Paper
DOI: 10.7712/seeccm-2013.2114
SCOPUS: 84899531569
Appears in Collections:Faculty of Engineering, Kragujevac
Institute for Information Technologies, Kragujevac
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