Clinical trial Recruiting at 1 site Observational Ages 18 and up

Assessing liver cancer risk in patients with chronic liver disease using advanced MRI techniques

Official title: Study on the Quantitative Assessment of the Risk of Hepatocellular Carcinoma in Patients With Chronic Liver Disease Using Multi-parameter Magnetic Resonance Imaging

Run by Fifth Affiliated Hospital, Sun Yat-Sen University · NCT06060769 · Data updated 2026-11-12

This study is testing new MRI techniques to see if they can help predict the risk of liver cancer in patients with chronic liver disease over five years.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1200 (estimated)
SponsorFifth Affiliated Hospital, Sun Yat-Sen University
Academic / other
Locations1 site (Zhuhai, Guangdong)
StatusRecruiting
StartedSeptember 1, 2023
Main results expectedJanuary 31, 2029
Study endsJanuary 31, 2029
Registry record updatedSeptember 29, 2023
Trial IDNCT06060769 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates for this study are adults over 18 years old with chronic liver disease classified as Child-Pugh A or B and who meet specific high-risk criteria for liver cancer.

Probably not a fit

Patients who are unable to undergo MRI scanning due to claustrophobia or other medical conditions, as well as those who have had prior liver surgery or significant comorbidities, may not benefit from this study.

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

What this trial studies

This study utilizes multi-parameter magnetic resonance imaging (MRI) techniques, including T1 mapping, T2 mapping, T1ρ, and elastography, to quantitatively assess the risk of hepatocellular carcinoma (HCC) in patients with cirrhosis. It involves both retrospective and prospective data collection from patients, who will be monitored over a five-year period to determine the development of liver cancer. The study aims to compare clinical characteristics, laboratory tests, and imaging parameters between patients who develop HCC and those who do not, ultimately creating a predictive nomogram for HCC risk based on these variables.

Why it matters

Potential benefit: If successful, this study could provide a reliable method for early detection of liver cancer in high-risk patients, potentially improving patient outcomes.

How similar studies have gone: While the use of MRI in assessing liver cancer risk is established, this specific multi-parameter approach is relatively novel and has not been extensively tested in prior studies.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* 1\. Aged over 18 years old; 2. Liver function Child-Pugh classification A or B; 3. Patients with chronic liver disease who meet the diagnostic criteria for high-risk groups of liver cancer in the "Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2022 Edition)"; 4. Equipped with Gd-EOB-DTPA enhanced MRI scan images, including T1 mapping, T2 mapping, T2\* mapping, T1ρ and other sequences; 5. With 5-year follow-up data.

Exclusion Criteria:

* 1\. Patients who are unable to undergo MRI scanning due to claustrophobia, abnormal renal function, etc.; 2. Patients who have undergone liver surgery in the past; 3. Patients with major diseases such as heart failure and tumors.

Where it's running

  • Yaqin, Zhang
    Zhuhai, Guangdong, 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.