scholarly journals Computational Analysis of the Influence of Dissolution-Diffusion and Specific Binding on Drug Transport in the Arterial Wall following Stent-based Delivery

Author(s):  
Javier Escuer Gracia ◽  
Estefanía Peña Baquedano ◽  
Sean McGinty ◽  
Miguel Ángel Martínez

A computational model of the transport of drugs eluted from a drug-eluting stent (DES) in the arterial wall is developed to study the influence of considering a non-linear model of dissolution-diffusion in the polymeric strut coating of the stent and a non-linear saturable reversible reaction model in the tissue to describe drug specific and non-specific binding.

2021 ◽  
Vol 20 (2) ◽  
pp. 767-786
Author(s):  
Javier Escuer ◽  
Irene Aznar ◽  
Christopher McCormick ◽  
Estefanía Peña ◽  
Sean McGinty ◽  
...  

Biorheology ◽  
2012 ◽  
Vol 49 (4) ◽  
pp. 249-259 ◽  
Author(s):  
Zhenze Wang ◽  
Anqiang Sun ◽  
Yubo Fan ◽  
Xiaoyan Deng

Author(s):  
Marjan Molavi Zarandi ◽  
Rosaire Mongrain ◽  
Olivier F. Bertrand

Drug Eluting Stents (DES) are commonly used for the treatment of stenotic arteries. Restenosis can be treated by delivering anti-thrombotic and anti-proliferative drugs to the arterial wall. The main mechanism of the drug eluting stent is to allow diffusion of the drug from the coating on the stent, into the arterial wall over a prolonged period of time. Investigation of blood flow hemodynamics and shear stress are of great importance in understanding the transport of drugs through the circulatory systems and predicting the performance of drug eluting stents. While drug eluting stent effectively reduces restenosis rate, the conventional drug eluting stent should be optimized to be used in the bifurcation stenting. Various flow patterns due to specific designs of drug eluting stent influence drug delivery. Numerical simulation techniques are appropriate approaches to study such phenomena which can be used to optimize the design of drug eluting stents for bifurcations. In this paper, the complexity of drug eluting stent function in the bifurcation is presented by employing computational fluid dynamics analysis for various stent strut designs. Drug transportation through the lumen and determination of local drug concentrations in arterial wall is carried out for both Newtonian and non-Newtonian flow conditions. It is, to the author’s best knowledge, the first investigation of drug dispersion in arterial bifurcation considering the effects of both the blood rheological properties and stent strut design.


2015 ◽  
Vol 266 ◽  
pp. 968-981 ◽  
Author(s):  
Akash Pradip Mandal ◽  
Sarifuddin ◽  
Prashanta Kumar Mandal

Author(s):  
Javier Escuer Gracia ◽  
Estefanía Peña ◽  
Irene Aznar ◽  
Miguel Ángel Martínez

Several computational models of transport of drugs eluted from drug-eluting stents (DES) in curved arteries were developed in order to investigate the influence of the arterial curvature and complex geometries on drug transport in the blood flow and in the arterial wall.


2013 ◽  
Vol 73 (6) ◽  
pp. 2004-2028 ◽  
Author(s):  
Sean McGinty ◽  
Sean McKee ◽  
Roger M. Wadsworth ◽  
Christopher McCormick

Author(s):  
Franz Bozsak ◽  
Jean-Marc Chomaz ◽  
Fulvio Martinelli ◽  
Abdul I. Barakat

Drug-eluting stents (DES) are very commonly used for treating coronary atherosclerotic lesions. Despite the broad effectiveness of DES, ∼5% of treated patients experience complications including in-stent restenosis and late-stent thrombosis. The occurrence of these complications depends on various factors including the concentration of the eluted drug in the arterial wall and the rate of arterial re-endothelialization. Drug concentration in the arterial wall needs to be sufficiently high to be efficacious while remaining sufficiently low to avoid compromising wall stability (leading to stent malapposition). Furthermore, because drugs used in DES modulate proliferation rates of not only smooth muscle cells but also endothelial cells, the drug concentration affects re-endothelialization rates. Drug concentration in the arterial wall is determined by the transport and metabolism of the drug and may also be affected by the flow field in the lumen of the stented vessel. In the present study, we develop a computational model of drug transport in the arterial wall. Previous models have typically treated the arterial wall as a homogeneous porous medium [1] and have often ignored drug reaction with cells in the arterial wall [2]. In the present study, we have developed a model that incorporates the multi-layer structure of the arterial wall and have compared its predictions for the distribution of an eluted drug within the arterial wall with those of the single-layer homogeneous wall model.


2010 ◽  
Vol 20 (10) ◽  
pp. 1759-1786 ◽  
Author(s):  
L. FORMAGGIA ◽  
S. MINISINI ◽  
P. ZUNINO

We introduce and analyze a model for simulating the release of a drug from a polymeric matrix into the arterial tissue, with the aim to describe the phenomena that occur after the implantation of a cardiovascular drug eluting stent (DES). The main processes occurring in the polymeric matrix are drug dissolution and diffusion. Moreover, surface erosion, which consists in mass loss due to the degradation of the polymeric network, is considered as well. The drug eluted from the matrix is released in the arterial wall, modeled as a homogeneous porous medium. By consequence, we assume that drug molecules are transported by diffusion and convection. Moreover, inside the tissue the reversible reaction of the drug with specific binding sites is taken into account and the coupled problem of mass transfer between matrix and tissue is formulated. It is shown that the mass conservation principle leads to nonstandard boundary coupling conditions to describe the transfer of the drug between the matrix and the arterial wall. Then, the problem at hand is solved numerically, highlighting the importance of enforcing mass conservation and focusing on the influence of the polymer erosion on the drug release profile and drug distribution in the tissue.


2016 ◽  
Vol 13 (6) ◽  
pp. 8-8
Author(s):  
Tuoi Vo ◽  
William Lee ◽  
Adam Peddle ◽  
Martin Meere

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