Seoul National University Hospital
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)…
Inclusion Criteria: * 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 Exclusion Criteria: * Significant alcohol consumption in the past 2 years: Male: ≥30-60g/day average alcohol intake Female: ≥20-50g/day average alcohol inta…
\*\*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.
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