AI reads CT scans to predict liver cancer treatment success

NCT ID NCT07235410

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.

Disclaimer Read more

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.

hepatocellular carcinoma

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

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

    RECRUITING

    Wuhan, Hubei, 430022, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••