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NCT06616103

Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB

Sponsor: Seoul National University Hospital

View on ClinicalTrials.gov

Summary

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

Official title: Utility of Quantitative Imaging Parameters from Deep Learning-based CT Segmentation in Assessing Hepatic Steatosis and Fibrosis in Chronic Hepatitis B: a Prospective Study Using MRI As the Reference Standard

Key Details

Gender

All

Age Range

19 Years - Any

Study Type

OBSERVATIONAL

Enrollment

111

Start Date

2024-09-26

Completion Date

2025-08-31

Last Updated

2024-09-27

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

computerized tomography

noncontrast abdominal CT

Locations (1)

Seoul National University Hospital

Seoul, South Korea