Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling

In-stent restenosis is a recurrence of coronary artery narrowing due to vascular injury caused by balloon dilation and stent placement. It may lead to the relapse of angina symptoms or to an acute coronary syndrome. An uncertainty quantification of a model for in-stent restenosis with four uncertain parameters (endothelium regeneration time, the threshold strain for smooth muscle cell bond breaking, blood flow velocity and the percentage of fenestration in the internal elastic lamina) is presented. Two quantities of interest were studied, namely the average cross-sectional area and the maximum relative area loss in a vessel. Owing to the high computational cost required for uncertainty quantification, a surrogate model, based on Gaussian process regression with proper orthogonal decomposition, was developed and subsequently used for model response evaluation in the uncertainty quantification. A detailed analysis of the uncertainty propagation is presented. Around 11% and 16% uncertainty is observed on the two quantities of interest, respectively, and the uncertainty estimates show that a higher fenestration mainly determines the uncertainty in the neointimal growth at the initial stage of the process. The uncertainties in blood flow velocity and endothelium regeneration time mainly determine the uncertainty in the quantities of interest at the later, clinically relevant stages of the restenosis process.

Automated summary

This study presents an uncertainty quantification of a model for in-stent restenosis, focusing on four uncertain parameters: endothelium regeneration time, the threshold strain for smooth muscle bond breaking, blood flow velocity, and the percentage of fenestration in the internal elastic lamina. By developing a surrogate model based on Gaussian process regression with proper orthogonal decomposition, the researchers were able to evaluate the model response in the uncertainty quantification. The results showed that the level of fenestration primarily determines the uncertainty in neointimal growth at the initial stage, while blood flow velocity and endothelium regeneration time play a key role in determining the uncertainty at later clinically relevant stages of the restenosis process.