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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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169 people
The number who actually took part.
- Started
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Jan 2018
- Finished
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May 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with single ICC who underwent radical partial hepatectomy in our hospital from January 2018 to January 2024 were retrospectively enrolled in this study.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients who underwent radical resection of liver tumors in our center and obtained surgical specimens; * ICC was diagnosed by postoperative pathology Exclusion Criteria: * Patients had received radiotherapy, chemotherapy, intervention and other treatments for liver tumors before surgery * The tumor sections could not be obtained due to the loss of wax blocks or most of the defects of pathological specimens * No upper abdominal Gd-EOB-DTPA-enhanced MRI examination in our center within one month before surgery * Poor image quality or incomplete image data
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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 First Affiliated Hospital, Sun Yat-sen University
Guangzhou, Guangdong, 510080, China
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Other studies related to the condition(s) this trial covers.
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