Skip to content

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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06060769
Enrollment
1200
Registered
2023-09-29
Start date
2023-09-01
Completion date
2029-01-31
Last updated
2023-09-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cirrhosis; Tumor

Brief summary

Quantitative MRI scanning parameters such as T1 mapping, T2 mapping, T1ρ, and elastography are used, combined with clinical and laboratory indicators, to predict the risk of liver cancer in patients with cirrhosis.

Detailed description

Retrospectively and prospectively collect T1 mapping, T2 mapping, T2\* mapping, T1ρ, elastography and other multi-parameter MRI sequence images and clinical and laboratory examination data from patients with liver cirrhosis, and conduct 5-year clinical follow-up and monitoring of all enrolled patients. Whether patients develop hepatocellular carcinoma, patients are divided into liver cancer occurrence group and non-hepatocellular carcinoma group according to clinical follow-up results. Cox proportional hazard analysis is used to compare the differences in clinical characteristics, laboratory tests, imaging characteristics, quantitative MRI parameters and other variables between the two groups of patients. , and calculate the hazard ratio for each variable; assign a score to each covariate based on the proportion of the hazard ratio in the multivariable model, and develop a nomogram to predict HCC risk by the total score.

Interventions

None listed

Sponsors

Fifth Affiliated Hospital, Sun Yat-Sen University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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.

Design outcomes

Primary

MeasureTime frameDescription
HCC incidence rate5 yearsRate of HCC among enrolled patients

Countries

China

Contacts

Primary ContactYaqin Zhang, MD, Ph.D
zhyaqin@mail.sysu.edu.cn13719282895

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026