Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB

N/ANot Yet RecruitingNCT06616103

Seoul National University Hospital111 enrolled

Overview

This study aims to evaluate diagnostic performance of CT attenuation parameters acquired using deep learning algorithm in assessing hepatic steatosis and fibrosis.

Study Type

OBSERVATIONAL

Enrollment

111

Conditions

Chronic Hepatitis B Steatosis of Liver Fibrosis and Cirrhosis of Liver

Interventions

computerized tomographyDIAGNOSTIC_TEST

noncontrast abdominal CT

Eligibility

Sex: ALLMin age: 19 Years

Medical Language ↔ Plain English

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

Locations (1)

Seoul National University Hospital

Seoul, South Korea

Outcomes

Primary Outcomes

diagnostic performance of CT attenuatio parameters in assessing hepatic steatosis and fibrosis

diagnostic performance of CT attenuatio parameters in assessing hepatic steatosis and fibrosis using MRI-PDFF and MR elastography as reference standards

Time frame: At the time of enrollment

Secondary Outcomes

Consistency between MRI-derived body composition data and CT-derived data

Consistency between MRI-derived body composition data and CT-derived data using automated 3D organ segmentation algorithm

Time frame: At the time of enrollment

Data from ClinicalTrials.gov

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