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.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
62
\*\*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.
southwoods imaging (Northeastern Ohio Radiology Research and Education Fund )
Boardman, Ohio, United States
RECRUITINGSeoul National University Hospital
Seoul, Seoul, South Korea
RECRUITINGCorrelation between Ultrasound Fat Fraction and MRI-PDFF
earson correlation coefficient between quantitative ultrasound fat fraction (USFF) and MRI-PDFF
Time frame: 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
Time frame: At enrollment (single time point assessment)
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