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