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REGISTRY on the Implementation of Artificial Intelligence in the Automatic Analysis of Vascular Network Segmentation
Sponsor: University Hospital, Bordeaux
Summary
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
250
Start Date
2024-01-30
Completion Date
2024-07-15
Last Updated
2024-06-13
Healthy Volunteers
No
Conditions
Interventions
Analyze CTscans pre-operatively by Nurea System
CTscans will be analyzed pre-operatively (6 months before intervention) and post-operatively with an early control scan (up to one-month post-EVAR), compared to a 3, 6 and 12-month control scan by system develop by Nurea
Analyze CTscans pre-operatively by hospital practitioner
CTscans will be analyzed pre-operatively (6 months before intervention) and post-operatively with an early control scan (up to one-month post-EVAR), compared to a 3, 6 and 12-month control scan by an hospital practitioner
Locations (1)
Service de Chirurgie Vasculaire, Hôpital Pellegrin-tripode, CHU de Bordeaux
Bordeaux, France