Integrating particle tracking with computational fluid dynamics to assess haemodynamic perturbation by coronary artery stents
Posted on 25.05.2022 - 14:33 by Cecile Perrault
Percutaneous coronary intervention and stent implantation is performed in over three million patients each year to treat coronary artery stenosis. Thrombosis and in-stent restenosis are major adverse consequences of stent deployment. They are induced by penetration of the coronary artery wall to expose sub-endothelial, pro-thrombotic and pro-coagulant factors to circulating blood. In addition, the
denudation of the endothelium during stent deployment leads to the loss of local protective effects of endothelial cells, such as production of anti-coagulants and suppression of thrombosis. The design of the stent also has an impact upon thrombosis: stent type, strut thickness, cell size and configuration, the amount of exposed metal and its composition are important factors in post-intervention vascular
Blood flow patterns vary through the arterial tree according to differences in anatomy and pulsatility and are critical regulators of vascular physiology and function. We and others demonstrated that stents cause perturbations in flow that prevent vascular cell repair and can therefore increase the risk of in-stent restenosis and thrombosis. Flow disturbances alter the transport of cells, molecules and gases from the bloodstream to the arterial wall and also modify shear stress which alters endothelial function. The influence of stent struts on local shear stress has been studied previously, however the possible effects on mass transport to the arterial wall is complex and has not been analysed. To address this, we developed a novel experimental platform integrating in vitro particle tracking with computational fluid dynamics (CFD) to compare the effects of multiple stent designs upon fluid dynamics.
We aimed to create an experimental platform through which the biomechanical conditions of stented vessels could be studied, by developing a unique combination of in vitro and in silico techniques.
CITE THIS COLLECTION
Perrault, Cecile; Evans, Paul; Marzo, Alberto (2022): Integrating particle tracking with computational fluid dynamics to assess haemodynamic perturbation by coronary artery stents. The University of Sheffield. Collection. https://doi.org/10.15131/shef.data.c.6011941.v1
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