NCT07265011

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
50

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Dec 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

December 31, 2024

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 23, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 23, 2025

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

November 23, 2025

Completed
11 days until next milestone

First Posted

Study publicly available on registry

December 4, 2025

Completed
Last Updated

December 4, 2025

Status Verified

November 1, 2025

Enrollment Period

9 months

First QC Date

November 23, 2025

Last Update Submit

November 23, 2025

Conditions

Keywords

MASLDNAFLDFatty LiverPediatrics

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

EXPERIMENTAL
Diagnostic Test: Ultrasound and MRI

Interventions

Ultrasound and MRIDIAGNOSTIC_TEST

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.

Liver Ultrasound and MRI

Eligibility Criteria

Age8 Years - 18 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64)

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

Study Sites (1)

Seoul National University Hospital

Seoul, 03080, South Korea

Location

MeSH Terms

Conditions

Non-alcoholic Fatty Liver DiseaseFatty Liver

Interventions

UltrasonographyMagnetic Resonance Imaging

Condition Hierarchy (Ancestors)

Liver DiseasesDigestive System Diseases

Intervention Hierarchy (Ancestors)

Diagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisTomography

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

Locations