Associations of Ultrasound-Derived Fat Fraction and MRI PDFF Measurements: A Prospective Study in Pediatric Patients

Jisoo Kim1, Eun Joo Lee2, Haesung Yoon3

  • 1Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.

Insights

Ultrasound-derived fat fraction (UDFF) shows strong correlation with MRI-based proton-density fat fraction (PDFF) for pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) screening. However, UDFF systematically overestimates low fat and underestimates high fat content.

Area of Science:

  • Pediatric Radiology
  • Hepatology
  • Medical Imaging

Background:

  • Increasing prevalence of pediatric metabolic dysfunction-associated steatotic liver disease (MASLD).
  • Need for accessible hepatic fat quantification methods beyond MRI in children.
  • Ultrasound-based methods as a potential alternative for liver fat assessment.

Purpose of the Study:

  • To evaluate the association between ultrasound-derived fat fraction (UDFF) and proton-density fat fraction (PDFF) in pediatric patients.
  • To assess UDFF measurements under both free-breathing and breath-hold conditions.
  • To compare UDFF with MRI-derived PDFF for accuracy in suspected MASLD.

Main Methods:

  • Prospective study of 55 pediatric patients with suspected MASLD.
  • Liver MRI for PDFF measurement and ultrasound for UDFF measurement (breath-hold and free-breathing).
  • Interobserver agreement assessment and Bland-Altman analyses for bias evaluation.

Main Results:

  • UDFF demonstrated good interobserver agreement and excellent agreement between breath-hold and free-breathing conditions.
  • Strong positive correlations observed between UDFF and PDFF under both breathing conditions (ρ=0.84 breath-hold, ρ=0.83 free-breathing).
  • UDFF showed systematic overestimation of PDFF in low fat (<5%) and underestimation in high fat (≥5%) pediatric liver steatosis.

Conclusions:

  • UDFF measurements correlate strongly with PDFF in children with suspected MASLD.
  • UDFF exhibits systematic biases, overestimating low liver fat and underestimating high liver fat content.
  • Clinical application of UDFF for MASLD screening requires careful consideration of these measurement biases.

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