Quantitative Ultrasound for Liver Fat Assessment in MASLD

This study is testing a new type of ultrasound technology called DeepUSFF (Deep Learning-based Ultrasound Fat Fraction) developed by Samsung Medison. It aims to see how well DeepUSFF can measure liver fat compared to MRI-PDFF (Proton Density Fat Fraction), which is a more established method. Doctors are looking for a strong match between the results from both tests. You might be able to join if you are at least 18 years old, have suspected MASLD (Metabolic Dysfunction-Associated Steatotic Liver Disease, a common liver condition), and meet certain body measurements or are a living liver transplant donor. This study is currently recruiting 62 participants.

Study design
This is an interventional study that will include 62 participants. It will compare a new ultrasound technology against MRI-PDFF.
What's involved
You will undergo both a quantitative ultrasound examination and a non-contrast liver MRI within one week.
Compensation
Not stated in the trial record.
Follow-up
Your liver fat will be assessed at enrollment, which is a single time point.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07192159

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

Recruiting
NAAges 18+InterventionalDiagnostic
Seoul National University Hospital
~62 participants
Updated 2025-09-25 on ClinicalTrials.gov
What's tested:Quantitative ultrasound (DeepUSFF)

At a glance

Recruiting sites
2 of 2 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Correlation between Ultrasound Fat Fraction and MRI-PDFF
Measured over At enrollment (single time point assessment)
+1 more outcome measured
Metabolic Dysfunction-Associated Steatotic Liver Disease
Hepatic Steatosis
Liver Disease Parenchymal

NCT07192159

Where you'd take part

This study runs at 2 sites. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • Seoul National University Hospital

    Seoul, Seoul, South Koreastudy coordinator listed

    Recruiting

  • southwoods imaging (Northeastern Ohio Radiology Research and Education Fund )

    Boardman, Ohiostudy coordinator listed

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

  • Jeong Min Lee, MD · PRINCIPAL_INVESTIGATOR · Seoul National University Hospital
  • Richard Gary Barr, MD · STUDY_DIRECTOR · Northeastern Ohio Radiology Research and Education Fund

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Eligibility criteria

Inclusion

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

Significant alcohol consumption in the past 2 years:
Chronic liver disease:
Liver failure:
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:
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
  • Correlation between Ultrasound Fat Fraction and MRI-PDFFAt enrollment (single time point assessment)

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

  • Correlation between Ultrasound Fat Fraction and MRI-PDFFAt enrollment (single time point assessment)

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