Article ID Journal Published Year Pages File Type
4964752 Computers in Biology and Medicine 2017 18 Pages PDF
Abstract
Atherosclerosis in the coronary artery is one of the leading causes of death in the world. The stenting as a minimally invasive technique was considered as an effective tool to reduce the severity of atherosclerotic stenosis. In-stent restenosis is the main drawback of the stenting in the coronary artery. Understanding the mechanism of drug release from drug-eluting stents and drug uptake in the arterial wall and obtaining more information about their functionality using mathematical modeling and numerical simulation, could be considered as a predictive tool to investigate in-stent restenosis growth which is experimentally expensive to study. In this work, the local delivery of a therapeutic agent from a PLGA-based bioabsorbable stent implanted in a coronary artery to predict the drug release as well as spatio-temporal drug distribution in a coronary artery with a vulnerable plaque is mathematically modeled and numerically simulated. The effect of copolymer ratio on drug release has been also investigated.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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