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REGISTRY on the Implementation of Artificial Intelligence in the Automatic Analysis of Vascular Network Segmentation

NCT06451315 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2024-06-13

No results posted yet for this study

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.

Conditions

  • Abdominal Aortic Aneurysm

Interventions

PROCEDURE

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

PROCEDURE

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

Sponsors & Collaborators

  • Nurea

    collaborator INDUSTRY

  • University Hospital, Bordeaux

    lead OTHER

Principal Investigators

  • Eric DUCASSE, MD, PhD · University Hospital, Bordeaux

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-30
Primary Completion
2024-07-15
Completion
2024-07-15

Countries

  • France

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06451315 on ClinicalTrials.gov