Serena Pegoraro
An Automated Framework for Large-Scale Simulation of Patient-Specific Diseased Coronary Arteries.
Rel. Maurizio Lodi Rizzini, Bianca Griffo, Girolamo Mastronuzzi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2025
Abstract
Atherosclerosis is an inflammatory vascular disease characterized by the development of lipid-rich plaques within the arterial wall. In coronary arteries, their growth leads to coronary artery disease (CAD) as a consequence of arterial lumen occlusion and eventually to myocardial infarction (MI) as most severe clinical event. Therefore, there is an urgent need of developing methods for CAD diagnosis and management. In clinical practice, the assessment of coronary lesion severity typically relies either on an anatomical evaluation, based on parameters associated with the local luminal narrowing, or on functional evaluation, based on fractional flow reserve (FFR), representing the flow reduction in the vessel due to the presence of a coronary lesion.
In addition, hemodynamics, and particularly wall shear stress (WSS) acting directly on the endothelium, have been recognized as key factors in the onset and progression of atherosclerotic plaques and ultimately leading to MI
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