Ultrasound-Based Estimation of Hepatic Steatosis in Pediatric MASLD
Prospective Validation of an AI-Driven Ultrasound-Based Method for Estimating Hepatic Steatosis Using MRI-Derived Fat Fraction as Reference in Pediatric Metabolic Dysfunction-Associated Steatotic Liver Disease
1 other identifier
interventional
50
1 country
1
Brief Summary
The purpose of this study is to validate an artificial intelligence (AI)-based algorithm that estimates hepatic steatosis using ultrasound (US) B-mode images in pediatric participants with metabolic dysfunction-associated steatotic liver disease (MASLD). The MRI proton density fat fraction (MRI-PDFF) serves as the reference standard for hepatic fat quantification.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Dec 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 31, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 23, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
September 23, 2025
CompletedFirst Submitted
Initial submission to the registry
November 23, 2025
CompletedFirst Posted
Study publicly available on registry
December 4, 2025
CompletedDecember 4, 2025
November 1, 2025
9 months
November 23, 2025
November 23, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Agreement Between AI-Predicted Ultrasound Fat Fraction (AI-USFF) and MRI Proton Density Fat Fraction (MRI-PDFF)
Reference standard: MRI-PDFF (percentage) \- intraclass correlation coefficient (ICC)
At time of imaging (single visit)
Secondary Outcomes (3)
Correlation Between AI-USFF and MRI-PDFF
At time of imaging (single visit)
Diagnostic Performance of AI-USFF for MRI-Based Hepatic Steatosis Grades
At time of imaging (single visit)
Inter-Vendor Reproducibility of AI-USFF
At time of imaging (single visit)
Study Arms (1)
Liver Ultrasound and MRI
EXPERIMENTALInterventions
Participants undergo same-day liver imaging including conventional B-mode ultrasound, quantitative ultrasound, and magnetic resonance imaging (MRI). Conventional Ultrasound: B-mode imaging performed on three ultrasound systems (Canon Aplio i800, Philips EPIQ, and Supersonic AIXPLORER) to acquire grayscale liver images for artificial intelligence (AI) analysis. Quantitative Ultrasound: Attenuation imaging (ATI) and shear wave elastography/dispersion measurements performed to assess hepatic fat and stiffness. MRI: Proton density fat fraction (PDFF) measurement used as the reference standard for hepatic steatosis quantification. All imaging is performed on the same day for each participant to ensure temporal consistency across modalities and vendors.
Eligibility Criteria
You may qualify if:
- participants aged 8 to 18 years clinically indicated for liver ultrasound examination to evaluate hepatic steatosis
- participants with suspected or known metabolic dysfunction-associated steatotic liver disease (MASLD)
- able to understand the study purpose and provide written informed consent (from both participant and legal guardian).
- agree to undergo same-day liver MRI examination in addition to the ultrasound
You may not qualify if:
- unable to cooperate with imaging procedures
- parent or legal guardian unable to understand the study explanation
- contraindications to MRI
- determined by the investigator to be otherwise unsuitable for participation after consultation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Jae Won Choilead
Study Sites (1)
Seoul National University Hospital
Seoul, 03080, South Korea
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Clinical Assistant Professor
Study Record Dates
First Submitted
November 23, 2025
First Posted
December 4, 2025
Study Start
December 31, 2024
Primary Completion
September 23, 2025
Study Completion
September 23, 2025
Last Updated
December 4, 2025
Record last verified: 2025-11