Camera and CT scans could help predict surgical risk in aortic surgery

NCT ID NCT06063395

Completed Knowledge-focused Sponsor: Geprovas Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study involved 30 adults undergoing open surgery on the abdominal aorta. Researchers used cameras and CT scans to measure the working space inside the body during surgery. The goal was to create a mathematical model that links a patient's body shape and incision size to the available surgical space, which could help predict surgical risk. This is an observational study, meaning no new treatment was tested.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help surgeons better predict risks before abdominal aortic surgery by understanding how a patient's body shape affects the operating space.
What could go wrong: This is a small, early observational study with only 30 participants. The algorithm may not work for all patients or in emergency situations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

abdominal aortic aneurysm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

OPEN SURGERY ON THE ABDOMINAL AORTA

Contacts and locations

Locations

Hôpitaux Universitaires de Strasbourg

Strasbourg, France, 67000, France

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