Actively Recruiting
Using Advanced MRI Techniques to Accurately Diagnose and Measure Liver Fat, Inflammation, and Fibrosis in Adults with Chronic Liver Disease
Led by Shengjing Hospital · Updated on 2025-02-28
100
Participants Needed
1
Research Sites
134 weeks
Total Duration
AI-Summary
What this Trial Is About
This research aims to develop and validate advanced, non-invasive Magnetic Resonance Imaging MRI techniques to assess liver damage in patients with chronic liver disease. It focuses on improving the diagnosis of liver fibrosis, inflammation, and fat content without relying on liver biopsies, which are invasive and sample only a small portion of the liver. The study addresses a critical need for better tools to manage chronic hepatitis and reduce risks associated with current methods. The study uses advanced MRI methods, including 3D Magnetic Resonance Elastography 3D-MRE and MRI Proton Density Fat Fraction MRI-PDFF, to measure liver stiffness, inflammation, fibrosis, and fat content. Researchers will build a predictive model using functional MRI metrics such as storage modulus, loss modulus, and damping ratio. Participants will be followed every six months to monitor changes and evaluate liver health. Participants will undergo these MRI assessments at regular six-month intervals to track liver stiffness changes before and after treatment. The main measurement is how liver stiffness changes over 12 months, which may help predict treatment effectiveness. The study aims to reduce dependence on liver biopsies, allow earlier diagnosis, and provide a comprehensive evaluation of liver conditions, including cirrhosis and cancer risks, during the follow-up period.
CONDITIONS
Brief Title
Multi-parametric Magnetic Resonance Imaging for the Precise Diagnosis and Quantitative Study of Liver Steatosis, Inflammation, and Fibrosis in Chronic Liver Disease.
Research Team
Y
Yu Shi
R
Ruobing Bai
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here