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 type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1200 (estimated) |
| Sponsor | Fifth Affiliated Hospital, Sun Yat-Sen University Academic / other |
| Locations | 1 site (Zhuhai, Guangdong) |
| Status | Recruiting |
| Started | September 1, 2023 |
| Main results expected | January 31, 2029 |
| Study ends | January 31, 2029 |
| Registry record updated | September 29, 2023 |
| Trial ID | NCT06060769 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
- Study coordinator: Yaqin Zhang, MD, Ph.D
- Email: zhyaqin@mail.sysu.edu.cn
- Phone: 13719282895
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.