REGISTRY on the Implementation of Artificial Intelligence in the Automatic Analysis of Vascular Network Segmentation
The team hypothesizes that fully automatic analysis of AAA could provide increased performance (decreased duration of segmentation with increased reproducibility and decreased inter and intraobserver variability) to detect aortic aneurysmal sac enlargement (volumes and diameters) and predict the risk of complications during the procedure and during follow-up (MAE, MACE, MALE, Stroke) compared to standard methods of measurement relying on approximate maximum sac diameter.
• Male or female ≥18 years of age
• AAA treated with EVAR between
‣ ≥50mm
⁃ or ≥5mm increase in 6 months
• The subject is legally competent, has been informed of the nature, the scope, and the relevance of the study and has not manifested an opposition to participate.
• Available for set-up and proper implementation of follow-up visits (standard of care) throughout the duration of the registry