The ART in EVAR study
Abdominal aortic aneurysm remodeling is a process that is related to long-term EVAR outcomes: a growing or stable aneurysm is related to worse outcomes than a shrinking aneurysm one-year after the treatment. However, the underlying process is not yet understood; it is not known what causes one patient to have a shrinking aneurysm whereas another has a stable sac. To answer this question, we set up a large database with >1000 aneurysm patients who underwent an EVAR procedure. We aim to develop a robust and high-performance AI model for predicting aneurysm shrinkage one-year after EVAR, with great potential for optimizing both EVAR treatment and follow-up.
The model can identify cases with an initially lower chance of early aneurysm shrinkage, in whom EVAR-treatment could be tailored by including additional therapies which have shown to promote shrinkage rate but are too complex and costly to perform in all patients. 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 aneurysm shrinkage. Overall, the AI prediction model is expected to improve patient survival and decrease the number of re-interventions after EVAR and associated healthcare costs.
‘The AI model for prediction of aneurysm shrinkage after EVAR
THE RADAR CONSORTIUM
is expected to improve clinical care and patient outcomes’