Trials / Not Yet Recruiting
Not Yet RecruitingNCT06616103
Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
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
- Phase
- —
- Study type
- Observational
- Enrollment
- 111 (estimated)
- Sponsor
- Seoul National University Hospital · Academic / Other
- Sex
- All
- Age
- 19 Years
- Healthy volunteers
- Not accepted
Summary
This study aims to evaluate diagnostic performance of CT attenuation parameters acquired using deep learning algorithm in assessing hepatic steatosis and fibrosis.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | computerized tomography | noncontrast abdominal CT |
Timeline
- Start date
- 2024-09-26
- Primary completion
- 2025-08-31
- Completion
- 2025-08-31
- First posted
- 2024-09-27
- Last updated
- 2024-09-27
Locations
1 site across 1 country: South Korea
Source: ClinicalTrials.gov record NCT06616103. Inclusion in this directory is not an endorsement.