Clinical trial Recruiting at 1 site Observational Ages 18 and up

AI-assisted staging and treatment decisions for hepatocellular carcinoma

Official title: A Prospective, Randomized, Controlled, Crossover Study of Artificial Intelligence-Assisted Multi-Dimensional Staging and Treatment Decision-Making for Hepatocellular Carcinoma

Run by Beijing Tsinghua Chang Gung Hospital · NCT07538882 · Data updated 2026-11-12

This project will test whether an AI tool helps doctors more accurately stage HCC and choose treatments for adult patients with new or suspected primary liver cancer.

More Hepatocellular Carcinoma (HCC) trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment108 (estimated)
SponsorBeijing Tsinghua Chang Gung Hospital
Academic / other
Locations1 site (Beijing, Changping)
StatusRecruiting
StartedApril 13, 2026
Main results expectedMay 13, 2026
Study endsMay 20, 2026
Registry record updatedApril 20, 2026
Trial IDNCT07538882 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults (≥18 years) with suspected or newly diagnosed primary HCC who can provide consent and have complete baseline clinical data and contrast-enhanced abdominal CT are ideal candidates.

Probably not a fit

Patients with secondary (metastatic) liver cancer, concurrent other active malignancies, missing required imaging or lab data, or prior anti-tumor treatment are unlikely to benefit or be eligible.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective, multi-center study enrolls adults with suspected or newly diagnosed primary hepatocellular carcinoma and compares physician decisions made with and without an AI assistance tool using a balanced multi-rater, multi-case crossover design. Physicians from different hospital tiers review the same imaging and baseline clinical data under unassisted and AI-assisted conditions, and their staging (CNLC, TNM, BCLC) and treatment recommendations are recorded. An independent three-expert panel establishes the reference standard using full imaging, clinical data, and multidisciplinary discussion. The design specifically examines whether AI reduces diagnostic and therapeutic variability between primary/secondary hospitals and higher-tier centers.

Why it matters

Potential benefit: If successful, the AI could improve staging accuracy and lead to more consistent, evidence-aligned treatment choices across hospitals, especially benefiting patients at lower-tier centers.

How similar studies have gone: Prior AI work in liver imaging has shown promise for lesion detection and staging, but prospective multi-center MRMC comparisons of AI-assisted clinical decision-making remain limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age \>= 18 years.
* Patients prospectively presenting with suspected or newly diagnosed primary hepatocellular carcinoma (HCC) later confirmed by pathology or meeting the China Liver Cancer (CNLC) guidelines.
* Complete baseline clinical data acquired during the prospective enrollment period, including complete history of present/past illness, ECOG PS score, comprehensive laboratory tests (liver function, coagulation, tumor markers such as AFP, etc.), and baseline abdominal contrast-enhanced CT.
* Patients (or their legal representatives) must provide written informed consent for their clinical data to be used in this trial.

Exclusion Criteria:

* Patients with secondary (metastatic) liver cancer or concurrent severe malignancies of other systems.
* Patients who fail to complete the required baseline imaging or laboratory tests, preventing accurate staging calculation (e.g., missing data for Child-Pugh score).
* Patients who have previously received anti-tumor therapies for liver cancer prior to enrollment.

Where it's running

  • Beijing Tsinghua Changgung Hospital
    Beijing, Changping, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.