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Article Abstract

Atherosclerosis, a chronic inflammatory disease linked to heart attacks and strokes, stimulates the formation of atherosclerotic plaques within arterial vessels, leading to reduced blood flow to the heart. Drug-Eluting Stents (DES) aim to expand the arterial stenosis and restore the blood flow while mitigating neo-intimal thickening through controlled drug release. In silico modeling has been widely used as a reliable means to predict and evaluate stent performance accurately. This in silico study investigates the efficacy of two stent types (Bare Metal Stent- BMS, DES) within a patient-specific coronary artery, examining the impact of stent coating. In both models, most arterial stresses lie within 0-0.5 MPa. Model A has 97.4% within this range, with the remaining 2.6% split between 0.5-0.2 MPa, while Model B has 2.6% between 0.5-0.18 MPa. Maximum von Mises arterial stresses peak at 0.20926 MPa in Model A and 0.18103 MPa in Model B. Peak stress occurs at 719.86 MPa for BMS in Model A and slightly higher at 725.54 MPa for DES in Model B. Our results have shown that there are minor differences between the performance of the BMS and the DES, with stent coating insignificantly altering deployment outcomes and scaffold stresses.

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http://dx.doi.org/10.1109/EMBC53108.2024.10782814DOI Listing

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