Quantitative Ultrasound(DeepUSFF) vs MRI-PDFF for Liver Fat Assessment in MASLD
DeepUSFF
Evaluation of a Quantitative Ultrasound Model(DeepUSFF) for Liver Fat Quantification in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Multicenter Prospective Study Using MRI-PDFF as the Reference Standard
1 other identifier
interventional
62
2 countries
2
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jun 2025
2 active sites
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
June 24, 2025
CompletedFirst Submitted
Initial submission to the registry
September 17, 2025
CompletedFirst Posted
Study publicly available on registry
September 25, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2026
ExpectedSeptember 25, 2025
September 1, 2025
10 months
September 17, 2025
September 17, 2025
Conditions
Keywords
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
EXPERIMENTALAll 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.
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.
Eligibility Criteria
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
Seoul National University Hospital
Seoul, Seoul, 03080, South Korea
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: 31053260BACKGROUNDFan 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: 37709759BACKGROUNDZhou 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
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jeong Min Lee, MD
Seoul National University Hospital
- STUDY DIRECTOR
Richard Gary Barr, MD
Northeastern Ohio Radiology Research and Education Fund
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- 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
- 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
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