Description

The incidences of Stent Thrombosis (ST) remain high in complex lesions and in high-risk patients. The use of intravascular imaging seems to be able to identify causes of ST, enabling prompt correction, and its use has been associated with better clinical outcomes in this setting. However, the efficacy of intravascular imaging features in predicting ST is limited. Computational fluid dynamic studies have shown that the local hemodynamic forces distribution has an effect on thrombus formation and can be responsible for the ST events. However, none of the studies today has explored in vivo the value of the flow disturbances in predicting events. The investigators have recently developed a method that is able to reconstruct vessel geometry accurately using coronary angiography and optical coherence tomography (OCT) data. Validation of this method in vitro and in human data showed promising results in accurately measuring shear stress and shear rate distribution.

This study, aims to explore the value of this method in predicting patients undergoing stent implantation with OCT imaging guidance that will suffer a ST. The investigators aim to collect data from 40 patients who had an ST after OCT-guided revascularization and from a control group of 80 patients who had no event after having stent implantation under OCT guidance. Investigators will further reconstruct the stented vessel from the OCT and the angiographic images, perform blood flow simulation and measure the shear rate and the shear stress in these two groups to explore the value of these metrics in predicting stent occlusion.