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AI reads CT scans to predict liver cancer treatment success

NCT ID NCT07235410

Knowledge-focused Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at 300 liver cancer patients who cannot have surgery and instead receive a treatment called TACE. Researchers will use artificial intelligence to analyze routine CT scans taken before treatment, measuring body composition like muscle and fat. The goal is to create a model that predicts survival and treatment response, helping doctors make better treatment decisions.

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 give doctors a new tool to predict which liver cancer patients will benefit most from TACE, leading to more personalized care.
What could go wrong
This is an observational study using existing data, so it won't directly test a new treatment. The prediction model may not work for all patients or in other hospitals.

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

About 300 people

The number the study aims to enrol. It can still change while the study runs.

Started

Nov 2025

Expected to finish

Nov 2026

An estimate. End dates often move.

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

hepatocellular carcinoma

Ages

18 years and older

Sex

Anyone

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: 1. Patients diagnosed with "Hepatocellular Carcinoma" from January 1, 2018 to May 31, 2024; 2. Age \> 18 years old. Exclusion Criteria: 1. Poor image quality; 2. Loss of follow-up; 3. Presence of another type of malignant tumor other than liver cancer; 4. Incomplete medical records.

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Conditions

The condition(s) this trial relates to.

hepatocellular carcinoma

As listed by the trial registrant

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

Hepatocellular carcinoma

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    RECRUITING

    Wuhan, Hubei, 430022, China

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