NCT07192159

Brief Summary

This multicenter prospective study aims to evaluate the correlation between quantitative ultrasound fat fraction (USFF) and MRI-PDFF (Proton Density Fat Fraction) for liver fat quantification in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). The study will compare the diagnostic accuracy of quantitative ultrasound imaging against MRI-PDFF as the reference standard.

Trial Health

80
On Track

Trial Health Score

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

Enrollment
62

participants targeted

Target at P50-P75 for not_applicable

Timeline
1mo left

Started Jun 2025

Geographic Reach
2 countries

2 active sites

Status
recruiting

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 Progress86%
Jun 2025Jun 2026

Study Start

First participant enrolled

June 24, 2025

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

September 17, 2025

Completed
8 days until next milestone

First Posted

Study publicly available on registry

September 25, 2025

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2026

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2026

Expected
Last Updated

September 25, 2025

Status Verified

September 1, 2025

Enrollment Period

10 months

First QC Date

September 17, 2025

Last Update Submit

September 17, 2025

Conditions

Keywords

Metabolic dysfunction-associated steatotic liver diseaseQuantitative ultrasoundMRI-PDFFLiver fat quantificationHepatic steatosisDeep learning

Outcome Measures

Primary Outcomes (2)

  • Correlation between Ultrasound Fat Fraction and MRI-PDFF

    earson correlation coefficient between quantitative ultrasound fat fraction (USFF) and MRI-PDFF

    At enrollment (single time point assessment)

  • Correlation between Ultrasound Fat Fraction and MRI-PDFF

    Measure: Pearson correlation coefficient between quantitative ultrasound fat fraction (USFF) and MRI-PDFF

    At enrollment (single time point assessment)

Study Arms (1)

Quantitative Ultrasound Fat Fraction Assessment

EXPERIMENTAL

All enrolled participants undergo two non-invasive diagnostic imaging procedures within a 7-day window for direct comparison of liver fat quantification methods: 1. \*\*Quantitative Ultrasound Examination\*\*: Performed using Samsung RS85 ultrasound system with CA1-7S convex probe to obtain ultrasound fat fraction (DeepUSFF). The examination includes standard liver ultrasound assessment followed by quantitative fat fraction measurements in the right hepatic lobe (S5 or S8 segments). Multiple measurements (5 per session) are obtained during breath-holding to ensure reproducibility. Total examination time: approximately 10-15 minutes. 2. \*\*Non-contrast Liver MRI with PDFF\*\*: Magnetic resonance imaging with proton density fat fraction (MRI-PDFF) sequence and MR elastography performed within 7 days of the ultrasound examination. The MRI protocol includes breath-hold sequences (10-20 seconds each) for optimal image quality. Total examination time: approximately 15 minutes.

Device: Quantitative ultrasound (DeepUSFF)

Interventions

\*\*Novel Quantitative Ultrasound Technology Assessment\*\* This study evaluates Samsung Medison's proprietary DeepUSFF (Deep Learning-based Ultrasound Fat Fraction) technology, a next-generation quantitative ultrasound method for liver fat assessment that differs from conventional ultrasound approaches in several key aspects: advanced RF data analysis, proprietary technology, standardized protocol, direct MRI-PDFF correlation, specific MSALD poopulation and multicenter design.

Quantitative Ultrasound Fat Fraction Assessment

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients with clinically suspected MASLD based on abnormal ultrasound or liver function tests requiring liver ultrasound or MRI examination
  • BMI ≥25 kg/m² or waist circumference \>90 cm (male) or \>80 cm (female), suggesting high likelihood of fatty liver disease
  • Living liver transplant donors requiring preoperative liver ultrasound or MRI examination
  • Age ≥18 years
  • Understanding and signing informed consent

You may not qualify if:

  • Significant alcohol consumption in the past 2 years:
  • Male: ≥30-60g/day average alcohol intake Female: ≥20-50g/day average alcohol intake
  • Chronic liver disease:
  • Histological diagnosis of chronic liver disease HBsAg positive Anti-HCV positive Other suspected chronic liver diseases
  • Liver failure:
  • Serum albumin \<3.2 g/dL INR \>1.3 Direct bilirubin \>1.3 mg/dL
  • History of esophageal varices, ascites, hepatic encephalopathy, or acute biliary obstruction
  • History of liver cancer diagnosis or treatment
  • History of liver surgery
  • Pregnancy
  • Inability to obtain adequate liver ultrasound imaging:
  • Patient cooperation impossible Inadequate image acquisition as determined by investigator
  • Inability to obtain adequate liver MRI imaging: Patient cooperation impossible Severe obesity preventing MRI examination MRI contraindications (cardiac pacemaker, etc.) Other factors preventing adequate imaging as determined by investigator

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

southwoods imaging (Northeastern Ohio Radiology Research and Education Fund )

Boardman, Ohio, 44512, United States

RECRUITING

Seoul National University Hospital

Seoul, Seoul, 03080, South Korea

RECRUITING

Related Publications (3)

  • Xie WJ, Zhang B. Learning the Formation Mechanism of Domain-Level Chromatin States with Epigenomics Data. Biophys J. 2019 May 21;116(10):2047-2056. doi: 10.1016/j.bpj.2019.04.006. Epub 2019 Apr 11.

    PMID: 31053260BACKGROUND
  • Fan C, Shen M, Nussinov Z, Liu Z, Sun Y, Liu YY. Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture. Nat Commun. 2023 Sep 14;14(1):5659. doi: 10.1038/s41467-023-41108-w. No abstract available.

    PMID: 37709759BACKGROUND
  • Zhou G, Qin Y, Petticord D, Qiao X, Jiang M. Plant-ant interactions mediate herbivore-induced conspecific negative density dependence in a subtropical forest. Sci Total Environ. 2024 Jun 1;927:172163. doi: 10.1016/j.scitotenv.2024.172163. Epub 2024 Apr 1.

    PMID: 38569958BACKGROUND

MeSH Terms

Conditions

Fatty Liver

Condition Hierarchy (Ancestors)

Liver DiseasesDigestive System Diseases

Study Officials

  • Jeong Min Lee, MD

    Seoul National University Hospital

    PRINCIPAL INVESTIGATOR
  • Richard Gary Barr, MD

    Northeastern Ohio Radiology Research and Education Fund

    STUDY DIRECTOR

Central Study Contacts

Jeong Min Lee, MD

CONTACT

Eun Jung Choi, RN

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Model Details: Single Group Cross-Sectional Diagnostic Accuracy Study All enrolled participants will undergo both diagnostic procedures (quantitative ultrasound and MRI-PDFF) within a 7-day window to minimize temporal variation in liver fat content. This single-group design allows for direct paired comparison between the two diagnostic methods in the same participants, eliminating inter-subject variability and providing optimal conditions for correlation analysis.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
professor

Study Record Dates

First Submitted

September 17, 2025

First Posted

September 25, 2025

Study Start

June 24, 2025

Primary Completion

April 30, 2026

Study Completion (Estimated)

June 30, 2026

Last Updated

September 25, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will share

De-identified quantitative ultrasound measurements (USFF values) De-identified MRI-PDFF measurements Anonymized clinical variables (age, BMI, laboratory values) Statistical analysis datasets without patient identifiers

Shared Documents
STUDY PROTOCOL, SAP
Time Frame
Beginning 12 months following article publication
Access Criteria
Requests should be directed to the corresponding author with a detailed research proposal Data sharing agreements will be required Institutional review board approval may be required for secondary analyses
More information

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