Camera and CT scans could help predict surgical risk in aortic surgery
NCT ID NCT06063395
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.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Hôpitaux Universitaires de Strasbourg
Strasbourg, France, 67000, France