Key result
The SMARTool reconstruction methodology achieved a mean Dice Coefficient of 0.749 and Hausdorff Distance of 1.746, with low endothelial shear stress and high LDL predicting plaque progression.
Why the study?
Can SMARTool accurately reconstruct arterial trees and predict atherosclerotic plaque progression in patients with coronary artery disease?
Can SMARTool accurately reconstruct arterial trees and predict atherosclerotic plaque progression in patients with coronary artery disease?
SMARTool provides a computational modeling framework that can reconstruct arterial trees and predict plaque progression based on low endothelial shear stress and high LDL concentration.
Answers are grounded in this paper and cite their sources.
Hypothesis-generating for SMARTool in CAD plaque prediction; prospective validation required before clinical adoption.
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.
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Sakellarios et al. (2017) studied Coronary artery disease. SMARTool (clinical decision support system) was evaluated on Reconstruction methodology accuracy (Dice Coefficient and Hausdorff Distance). The SMARTool reconstruction methodology achieved a mean Dice Coefficient of 0.749 and Hausdorff Distance of 1.746, with low endothelial shear stress and high LDL predicting plaque progression.
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