Actively Recruiting

Age: 18Years +
All Genders
NCT07059936

Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)

Led by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Updated on 2025-07-22

350

Participants Needed

1

Research Sites

61 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

CT imaging data and MR imaging data from liver cancer (hepatocellular carcinoma) patients prior to the initiation of immunotherapy (and possibly also after treatment) will be collected. The processing pipeline includes automatic tumor segmentation, radiomics feature extraction, feature selection, and construction of a classification model.

CONDITIONS

Official Title

Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients treated for hepatocellular carcinoma at Wuhan Union Hospital from July 2025 to July 2026
  • Aged over 18 years old
  • Have at least one CT or MR scan before treatment
  • Confirmed diagnosis of hepatocellular carcinoma by tissue biopsy pathological examination
Not Eligible

You will not qualify if you...

  • Poor quality imaging data
  • Incomplete clinical data or loss of follow-up
  • Presence of another primary cancer besides liver cancer
  • Unclear pathological diagnosis

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

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

Wuhan, Hubei, China, 430000

Actively Recruiting

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Research Team

L

Lian Yang

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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