Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
NCT06616103 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 111
Last updated 2024-09-27
Summary
This study aims to evaluate diagnostic performance of CT attenuation parameters acquired using deep learning algorithm in assessing hepatic steatosis and fibrosis.
Conditions
- Chronic Hepatitis B
- Steatosis of Liver
- Fibrosis and Cirrhosis of Liver
Interventions
- DIAGNOSTIC_TEST
-
computerized tomography
noncontrast abdominal CT
Sponsors & Collaborators
-
Seoul National University Hospital
lead OTHER
Eligibility
- Min Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-09-26
- Primary Completion
- 2025-08-31
- Completion
- 2025-08-31
Countries
- South Korea
Study Locations
More Related Trials
-
Study on the Quantitative Assessment of the Risk of Hepatocellular Carcinoma in Patients With Chronic Liver Disease Using Multi-parameter Magnetic Resonance Imaging
NCT06060769 ·Status: RECRUITING
-
Quantitative Ultrasound(DeepUSFF) vs MRI-PDFF for Liver Fat Assessment in MASLD
NCT07192159 ·Status: RECRUITING ·Phase: NA
-
Usefulness of Multi-parametric, Quantitative MR Imaging for Staging of Hepatic Fibrosis in the Patients With Chronic Hepatitis
NCT01981421 ·Status: UNKNOWN
-
Quantitative US for Evaluation of Hepatic Steatosis in NAFLD
NCT04462562 ·Status: COMPLETED ·Phase: NA
-
Comparison Between LDCT With DL Recontruction and Standard Dose CT
NCT05324046 ·Status: UNKNOWN
-
Ga-68 Dolacga PET Scan in HCC Under RFA
NCT06792097 ·Status: NOT_YET_RECRUITING
-
A New Deep-learning Based Artificial Intelligence Iterative Reconstruction (AIIR) Algorithm in Low-dose Liver CT
NCT05550012 ·Status: UNKNOWN ·Phase: NA
-
Effects of Hepatic Fibrosis on Hepatic Steatosis Using the Ultrasound Attenuation Imaging in Chronic Hepatitis B
NCT05871749 ·Status: COMPLETED
-
Predicting Response to Systemic Therapies for Hepatocellular Carcinoma(HCC)
NCT05543304 ·Status: UNKNOWN
-
Monitoring Changes in Hepatic Steatosis Using Continuous Controlled Attenuation Parameter
NCT06203548 ·Status: RECRUITING ·Phase: NA
-
CT Liver Fat Fraction Quantification
NCT05676177 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Automatic Segmentation of Polycystic Liver
NCT03960710 ·Status: UNKNOWN
-
Clinical Decision Biological Biomarker and Prognosis Prediction of Hepatocellular Carcinoma by Deep Learning
NCT05257694 ·Status: RECRUITING
-
Prediction Model Based on Computed Tomography Liver Volume for the Short-term Mortality in Hepatitis B Related Acute-on-Chronic
NCT03977857 ·Status: COMPLETED
-
Quantification of Hepatic Steatosis With Different Ultrasound Frequency
NCT05855239 ·Status: ACTIVE_NOT_RECRUITING
-
Attenuation Imaging in Hepatic Steatosis
NCT05302258 ·Status: UNKNOWN
-
Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)
NCT07059936 ·Status: RECRUITING
-
Quantification of Liver Iron Overload and Steatosis Using Magnetic Resonance Imaging
NCT00401336 ·Status: COMPLETED ·Phase: NA
-
Quantitative Diagnosis of Fatty Liver by Dual Energy CT Technique
NCT00172705 ·Status: UNKNOWN
-
Precision Recurrence Risk Assessment in Early-stage Hepatocellular Carcinoma
NCT07030842 ·Status: COMPLETED
-
Annual MRI Versus Biannual US for Surveillance of Hepatocellular Carcinoma in Liver Cirrhosis
NCT02551250 ·Status: COMPLETED
-
Non-invasive Evaluation of Liver Fibrosis, Steatosis, and NASH in NAFLD
NCT03725631 ·Status: UNKNOWN ·Phase: NA
-
Cost Effective Non Invasive Diagnostic Modalities and Predictive Model for Development and Progression of Fibrosis Among Patients With Hepatitis B, Hepatitis C Infection or Non Alcoholic Fatty Liver Disease
NCT02658786 ·Status: WITHDRAWN
-
A Nomogram for Evaluating Significant Liver Fibrosis in Patients With Chronic Hepatitis B Virus Infection
NCT05560503 ·Status: COMPLETED
-
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
NCT07235410 ·Status: RECRUITING