Journal of Endovascular Therapy – January 2025
The protocol of our ART in EVAR study is published in the Journal of Endovascular Therapy!
This study aims to develop a robust and high-performance multimodal artificial intelligence (AI) model for predicting AAA shrinkage one-year after EVAR, with great potential for optimizing both EVAR treatment and follow-up. In this retrospective observational multicenter study, approximately 1000 patients will be enrolled from hospital records of the 5 experienced vascular centers of our RADAR consortium. All collected clinical, biomechanical, and imaging data will be used to create an AI prediction model for AAA shrinkage. Explainable AI techniques will be used to identify the most descriptive input features in the model. Predicting factors resulting from the AI model will be compared with conventional univariate and multivariate logistic regression analyses to find the best model for the prediction of AAA shrinkage.
The model can identify cases with an initially lower chance of early AAA shrinkage, in whom EVAR-treatment could be tailored by including additional preoperative coil embolization, active sac management and/or postoperative tranexamic acid therapy, which have shown to promote AAA shrinkage rate but are too complex and costly to perform in all patients. Moreover, the model could aid in stratification of post-EVAR surveillance based on the patient’s individual risk and possibly decrease follow-up for the 40-50% of patients who will experience AAA sac shrinkage. Overall, the AI prediction model is expected to improve patient survival and decrease the number of reinterventions after EVAR and associated healthcare costs.
Vascular News – June 2024

Visit the entire Vascular News issue 102 here