Usefulness of Multi-parametric, Quantitative MR Imaging for Staging of Hepatic Fibrosis in the Patients With Chronic Hepatitis
- Conditions
- Liver Fibrosis
- Registration Number
- NCT01981421
- Lead Sponsor
- Yonsei University
- Brief Summary
Liver fibrosis has been considered as irreversible change. However, recent study showed that early stage liver fibrosis could be reversible and a lot of new drugs are now developing or developed including anti-viral treatment. Liver biopsy is considered as golden standard for the evaluation of liver fibrosis. But biopsy specimen through biopsy only consists of 1/50000 of the whole liver and heterogeneity of liver fibrosis, accurate diagnosis of liver fibrosis is still challenging. Furthermore, its invasive nature, repeated biopsy is practically almost impossible. Hence, non-invasive diagnosis of liver fibrosis is important. In this study we hypothesized that multi-parametric MR imaging including MR elastography, conventional DWI, and IVIM can predict changes of liver stiffness after anti-viral therapy in patients with chronic liver disease. We will enroll 60 biopsy-proven patients and perform multi-parametric MR imaging at the enrollment and one year later to evaluate changes in quantitative values in MR.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 60
- Patients who had chronic hepatitis
- Patients who underwent liver biopsy within 6 months
- Patients older than 18 years old
- patient who had pregnancy
- patient 18 or below 18 years old
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Changes in quantitative values measured from Multi-parametric MRI before and after anti-viral treatment 1 year after enrollment Elasticity, conventional ADC value, IVIM ADC value, T2\* value, T1 rho value will be compared before and after anti-viral treatment
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Department of Radiology, Yonsei University Health System
🇰🇷Seoul, Korea, Republic of