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AI reads MRI scans to predict liver cancer survival

NCT ID NCT07479264

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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

169 people

The number who actually took part.

Started

Jan 2018

Finished

May 2025

Lead sponsor

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

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

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

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.

cholangiocarcinoma Cirrhosis, Familial, with Pulmonary Hypertension intrahepatic cholangiocarcinoma

As listed by the trial registrant

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

Contacts and locations

Locations

  • The First Affiliated Hospital, Sun Yat-sen University

    Guangzhou, Guangdong, 510080, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.