AI analyzes CT scans to find safer radiation levels for liver cancer patients
NCT ID NCT07346573
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This completed study used artificial intelligence to examine CT scans from 274 liver cancer patients who had already received radiation therapy. The goal was to find the radiation dose that causes a visible liver reaction, which could help doctors avoid liver injury in future treatments. Researchers compared patients who developed this reaction with those who did not, looking at scan features and clinical information. Since this was a retrospective study, no new treatments or procedures were given to participants.
What this could mean
Our plain-language read of the trial. This is informational only โ not medical advice or a prediction.
- What this could lead to
- If successful, this could help doctors set safer radiation doses for liver cancer treatment, reducing the risk of liver injury.
- What could go wrong
- This is a retrospective observational study, so it can show patterns but cannot prove cause and effect. The findings may not apply to all patients or treatments.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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The Third Xiangya Hospital
Changsha, Hunan, China
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Other studies related to the condition(s) this trial covers.
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