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RecruitingNCT07192159

Quantitative Ultrasound(DeepUSFF) vs MRI-PDFF for Liver Fat Assessment in MASLD

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

Status
Recruiting
Phase
N/A
Study type
Interventional
Enrollment
62 (estimated)
Sponsor
Seoul National University Hospital · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

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.

Detailed description

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common liver disease requiring accurate assessment for treatment planning and monitoring. While liver biopsy remains the gold standard, it is invasive with potential complications. MRI-PDFF has emerged as an accurate non-invasive method, but it is expensive and has limited accessibility. Quantitative ultrasound techniques using RF data have been developed to provide objective liver fat assessment. Objective: To prospectively evaluate the correlation between quantitative ultrasound-derived fat fraction (DeepUSFF) and MRI-PDFF in patients with suspected MASLD across different ethnicities and varying degrees of hepatic steatosis. Methods: This prospective multicenter study will recruit 62 patients (31 from each participating center) suspected of having MASLD. All participants will undergo both quantitative ultrasound examination and non-contrast liver MRI within one week. The primary endpoint is the correlation coefficient between ultrasound fat fraction and MRI-PDFF. Secondary endpoints include diagnostic accuracy metrics and inter-observer reproducibility.

Conditions

Interventions

TypeNameDescription
DEVICEQuantitative ultrasound (DeepUSFF)\*\*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.

Timeline

Start date
2025-06-24
Primary completion
2026-04-30
Completion
2026-06-30
First posted
2025-09-25
Last updated
2025-09-25

Locations

2 sites across 2 countries: United States, South Korea

Regulatory

Source: ClinicalTrials.gov record NCT07192159. Inclusion in this directory is not an endorsement.