Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
Not yet recruiting
- Conditions
- Chronic Hepatitis BSteatosis of LiverFibrosis and Cirrhosis of Liver
- Registration Number
- NCT06616103
- Lead Sponsor
- Seoul National University Hospital
- Brief Summary
- This study aims to evaluate diagnostic performance of CT attenuation parameters acquired using deep learning algorithm in assessing hepatic steatosis and fibrosis. 
- Detailed Description
- Not available 
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 111
Inclusion Criteria
- chronic hepatitis B
- no chronic liver disease other than chronic hepatitis B
- Body mass index >= 23
Exclusion Criteria
- pregnant women
- unable to perform MRI examinations due to claustrophobia or metallic foreign body
- suspicious hepatic malignancy on previous imaging studies
- history of local treatment for hepatic lesions
- history of surgery or catheter insertion of liver or spleen
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
- Name - Time - Method - diagnostic performance of CT attenuatio parameters in assessing hepatic steatosis and fibrosis - At the time of enrollment - diagnostic performance of CT attenuatio parameters in assessing hepatic steatosis and fibrosis using MRI-PDFF and MR elastography as reference standards 
- Secondary Outcome Measures
- Name - Time - Method - Consistency between MRI-derived body composition data and CT-derived data - At the time of enrollment - Consistency between MRI-derived body composition data and CT-derived data using automated 3D organ segmentation algorithm 
Trial Locations
- Locations (1)
- Seoul National University Hospital 🇰🇷- Seoul, Korea, Republic of Seoul National University Hospital🇰🇷Seoul, Korea, Republic ofJeongin Yoo, M.D.Contact+82-220723107jeongin527@snu.ac.kr
