Multi-scale simulations of the dynamics of in-stent restenosis: impact of stent deployment and design

Author:

Tahir Hannan1,Hoekstra Alfons G.1,Lorenz Eric1,Lawford Patricia V.2,Hose D. Rodney2,Gunn Julian3,Evans David J.W.2

Affiliation:

1. Computational Science, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands

2. Medical Physics Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK

3. Coronary Artery Disease Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK

Abstract

Neointimal hyperplasia, a process of smooth muscle cell re-growth, is the result of a natural wound healing response of the injured artery after stent deployment. Excessive neointimal hyperplasia following coronary artery stenting results in in-stent restenosis (ISR). Regardless of recent developments in the field of coronary stent design, ISR remains a significant complication of this interventional therapy. The influence of stent design parameters such as strut thickness, shape and the depth of strut deployment within the vessel wall on the severity of restenosis has already been highlighted but the detail of this influence is unclear. These factors impact on local haemodynamics and vessel structure and affect the rate of neointima formation. This paper presents the first results of a multi-scale model of ISR. The development of the simulated restenosis as a function of stent deployment depth is compared with an in vivo porcine dataset. Moreover, the influence of strut size and shape is investigated, and the effect of a drug released at the site of injury, by means of a drug-eluting stent, is also examined. A strong correlation between strut thickness and the rate of smooth muscle cell proliferation has been observed. Simulation results also suggest that the growth of the restenotic lesion is strongly dependent on the stent strut cross-sectional profile.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

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