Name
Title | ||
|---|---|---|
SMARTool: A tool for clinical decision support for the management of patients with coronary artery disease based on modeling of atherosclerotic plaque process |
Abstract | ||
|---|---|---|
SMARTool aims to the development of a clinical decision support system (CDSS) for the management and stratification of patients with coronary artery disease (CAD). This will be achieved by performing computational modeling of the main processes of atherosclerotic plaque growth. More specifically, computed tomography coronary angiography (CTCA) is acquired and 3-dimensional (3D) reconstruction is performed for the arterial trees. Then, blood flow and plaque growth modeling is employed simulating the major processes of atherosclerosis, such as the estimation of endothelial shear stress (ESS), the lipids transportation, low density lipoprotein (LDL) oxidation, macrophages migration and plaque development. The plaque growth model integrates information from genetic and biological data of the patients. The SMARTool system enables also the calculation of the virtual functional assessment index (vFAI), an index equivalent to the invasively measured fractional flow reserve (FFR), to provide decision support for patients with stenosed arteries. Finally, it integrates modeling of stent deployment. In this work preliminary results are presented. More specifically, the reconstruction methodology has mean value of Dice Coefficient and Hausdorff Distance is 0.749 and 1.746, respectively, while low ESS and high LDL concentration can predict plaque progression. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EMBC.2017.8036771 | 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Keywords | Field | DocType |
Coronary Angiography,Coronary Artery Disease,Coronary Vessels,Decision Support Systems, Clinical,Humans,Plaque, Atherosclerotic,Predictive Value of Tests | Biomedical engineering,Computer science,Fractional flow reserve,Low-density lipoprotein,Artificial intelligence,Clinical decision support system,Angiography,Coronary artery disease,CAD,Computer vision,Stent,Blood flow,Internal medicine,Cardiology | Conference |
Volume | ISSN | ISBN |
2017 | 1557-170X | 978-1-5090-2810-8 |
Citations | PageRank | References |
1 | 0.48 | 4 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonis Sakellarios | 1 | 32 | 18.83 |
| George A Rigas | 2 | 3 | 3.32 |
| Vassiliki Kigka | 3 | 1 | 1.50 |
| Panagiotis K Siogkas | 4 | 20 | 10.49 |
| Panagiota Tsompou | 5 | 1 | 2.17 |
| Georgia S. Karanasiou | 6 | 4 | 7.39 |
| Themis P Exarchos | 7 | 235 | 24.31 |
| Ioannis O. Andrikos | 8 | 2 | 2.52 |
| Nikolaos S. Tachos | 9 | 1 | 0.48 |
| Gualtiero Pelosi | 10 | 5 | 5.47 |
| Oberdan Parodi | 11 | 53 | 13.16 |
| Dimitrios I. Fotiadis | 12 | 941 | 121.32 |