AI reads MRI scans to predict liver cancer survival
NCT ID NCT07479264
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study looked at 169 patients with a type of liver cancer called intrahepatic cholangiocarcinoma. Researchers used MRI scans and machine learning to measure scar tissue and a protein linked to tumor growth. The goal was to see if these features could predict how long patients survive after surgery. No new treatments were tested—only existing medical images and tissue samples were analyzed.
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 approach could help doctors better predict survival and tailor follow-up care for liver cancer patients using standard MRI scans.
What could go wrong
This is an observational study, not a treatment trial. The findings are based on past data and need further validation before they can guide patient care.
Disclaimer
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This is a summary of
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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The First Affiliated Hospital, Sun Yat-sen University
Guangzhou, Guangdong, 510080, China