AI reads CT scans to predict liver cancer treatment success

NCT ID NCT07235410

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

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.

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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

Contacts and locations

Locations

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

Wuhan, Hubei, 430022, China

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