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RECRUITING
NCT06884397

Use of Artificial Intelligence to Predict Complications Following Abdominal Aortic Surgery

Sponsor: Groupe Hospitalier de la Rochelle Ré Aunis

View on ClinicalTrials.gov

Summary

Abdominal aortic aneurysm, a condition characterised by an increase in the diameter of the aorta, can be treated either surgically or endovascularly. In the latter, an endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta. This new method appears to be less invasive than surgery, but its long-term results are not yet fully understood. As a result, patients who have undergone this treatment are monitored by their surgeon to ensure that there is no endoleak. Several research teams have proposed analysing medical images to predict this risk of endoleak. Doctors are now trying to use artificial intelligence to automate the analysis of these images.

Official title: Implantation of an Endovascular Prosthesis for the Treatment of Abdominal Aortic Aneurysms: Use of a Machine Learning Model From CT Images to Predict Complications

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

300

Start Date

2025-04-14

Completion Date

2026-06-30

Last Updated

2025-06-18

Healthy Volunteers

No

Interventions

PROCEDURE

Abdominal aortic endoprosthesis

An endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta.

Locations (1)

Groupe Hospitalier de la Rochelle Ré Aunis

La Rochelle, France