Paper Info
Title
A Computational Multi-Level Atherosclerotic Plaque Growth Model For Coronary Arteries
Abstract
In this vvork., we present a novel computational approach for the prediction of atherosclerotic plaque growth. In particular, patient-specific coronary computed tomography angiography (CCTA) data were collected from 60 patients at two time points. Additionally, blood samples were collected for biochemical analysis. The CCTA data were used for 3D reconstruction of the coronary arteries, which were then used for computational modeling of plaque growth. The model of plaque growth is based on a multi-level approach: i) the blood flow is modeled in the lumen and the arterial wall, ii) the low and high density lipoprotein and monocytes transport is included, and iii) the major atherosclerotic processes are modeled including the foam cells formation, the proliferation of smooth muscle cells and the formation of atherosclerotic plaque. Validation of the model was performed using the follow-up CCTA. The results show a correlation of the simulated follow-up arterial wall area to be correlated with the corresponding realistic follow-up with r2=0.49, P<0.0001.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8857329
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Coronary computed tomography angiography,Coronary arteries,Growth model,Blood flow,Computer science,Internal medicine,Cardiology,Lumen (unit),Artificial intelligence,High-density lipoprotein,3D reconstruction
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
13
Name
Order
Citations
PageRank
Dimitrios Pleouras100.34
Antonis Sakellarios23218.83
Savvas K. Kyriakidis301.35
Vassiliki Kigka411.50
Panagiotis K Siogkas52010.49
Panagiota Tsompou612.17
Nikolaos S. Tachos700.34
Eleni I. Georga8306.48
Ioannis O. Andrikos922.52
Silvia Rocchiccioli1002.37
Gualtiero Pelosi1155.47
Lampros K. Michalis1217721.89
Dimitrios I. Fotiadis13941121.32