MODEL REDUCTION STRATEGIES ENABLE COMPUTATIONAL ANALYSIS OF CONTROLLED DRUG RELEASE FROM CARDIOVASCULAR STENTS

被引:23
作者
D'Angelo, Carlo [1 ]
Zunino, Paolo [1 ]
Porpora, Azzurra [1 ]
Morlacchi, Stefano [2 ]
Migliavacca, Francesco [2 ]
机构
[1] Politecn Milan, MOX Dept Math, I-20133 Milan, Italy
[2] Politecn Milan, LaBS Dept Struct Engn, I-20133 Milan, Italy
基金
欧洲研究理事会;
关键词
mass transfer; multiscale modeling; computational analysis; biomedical applications; DIFFUSION-REACTION PROBLEMS; FINITE DISSOLUTION RATE; ELUTING STENTS; CORONARY BIFURCATIONS; THEORETICAL-ANALYSIS; MATRIX SYSTEMS; FLOW; DEPOSITION; EQUATIONS; DELIVERY;
D O I
10.1137/10081695X
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Medicated cardiovascular stents, also called drug eluting stents (DES), represent a relevant application of controlled drug release mechanisms. Modeling of drug release from DES also represents a challenging problem for theoretical and computational analysis. In particular, the study of drug release involves models with singular behavior, arising, for instance, in the analysis of drug release in the small diffusion regime. Moreover, the application to realistic stent configurations requires one to account for complex designs of the device. To efficiently obtain satisfactory simulations of DES we rely on a multiscale strategy, based on lumped parameter (0D) models to account for drug release, one dimensional (1D) models to efficiently handle complex stent patterns and fully three-dimensional (3D) models for drug transfer in the artery, including the lumen and the arterial wall. The application of these advanced mathematical models makes it possible to perform a computational analysis of the fluid dynamics and drug release for a medicated stent implanted into a coronary bifurcation, a treatment where clinical complications still have to be fully understood.
引用
收藏
页码:2312 / 2333
页数:22
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