Viewing Study NCT06616103


Ignite Creation Date: 2025-12-24 @ 7:10 PM
Ignite Modification Date: 2025-12-29 @ 10:56 PM
Study NCT ID: NCT06616103
Status: NOT_YET_RECRUITING
Last Update Posted: 2024-09-27
First Post: 2024-09-19
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
Sponsor: Seoul National University Hospital
Organization:

Study Overview

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
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-09
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
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: None

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: False
Is an FDA AA801 Violation?:

Secondary ID Infos

Secondary ID Type Domain Link View
RS-2023-00253896 OTHER_GRANT National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) View