About this trial

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

Eligibility criteria

Qualifiers

chronic hepatitis B

no chronic liver disease other than chronic hepatitis B

Body mass index >= 23

Disqualifiers

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

Trial design

Treatments tested in this trial

  • computerized tomography

Treatment groups

No treatment groups listed

Locations

1
Seoul National University Hospital03080, Seoul South Korea

Sponsors and collaborators

Seoul National University Hospital

Lead sponsor