Hepatic Steatosis
Conditions
Brief summary
The purpose of this study is to investigate the diagnostic performance of quantitative ultrasound imaging parameter for the assessment of hepatic steatosis in patients with non-alcoholic fatty liver disease using magnetic resonance imaging proton density fat fraction (MRI-PDFF) and MR spectroscopy as the reference standard.
Interventions
Quantitative ultrasound imaging parameters (QUS) are analyzed to evaluate hepatic steatosis
Sponsors
Study design
Eligibility
Inclusion criteria
* patients with clinically suspected non-alcoholic fatty liver disease (NAFLD) or non-alcoholic steatohepatitis (NASH), or living-donor candidates for liver transplantation, or volunteers * Signed informed consent
Exclusion criteria
* chronic liver disease patients (serum HBsAg positive or anti-hepatitis C virus (HCV), histologic confirmation) * chronic alcoholics * serum alanine transaminase (ALT)\>5 times the upper limit of normal within 3 months * previous liver surgery * acute hepatitis or bile duct obstruction
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between quantitative US imaging parameter (QUS) and MR fat fraction | 3 months | reference standard: MR spectroscopy or MRI-proton density fat fraction value |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Diagnostic performance of QUS to detect mild fatty liver and moderate fatty liver | 3 months | reference standard: MR fat fraction |
| Correlation between S-shearwave elastography and MR elastography | 3 months | Reference standard: liver stiffness at MR elastography, using Pearson's correlation analysis or Spearman rank correlation analysis |
| Intra-observer agreement of quantitative ultrasound imaging parameter | same 1 day | intraclass correlation coefficient (ICC) |
| Development and validation of deep learning model for prediction of hepatic steatosis | 1 month | ROC analysis and C-index for deep learning model for prediction of hepatic steatosis |
Countries
South Korea