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Related Experiment Video

Updated: Jan 13, 2026

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Imaging Evaluation for Steatotic Liver Disease.

Shin Mei Chan1, Vitor F Martins2, Kathleen Marsh1

  • 1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.

Korean Journal of Radiology
|January 6, 2026
PubMed
Summary

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects 30% of the global population. This review highlights imaging techniques like ultrasound, CT, and MRI for assessing MASLD and fibrosis, crucial for patient outcomes.

Keywords:
CSE-MRIChemical-shift-encodedMASLDMR elastographyMetabolic dysfunction-associated steatotic liver diseasePDFFProton density fat fractionQuantitative ultrasound

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Area of Science:

  • Hepatology
  • Radiology
  • Medical Imaging

Background:

  • Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly nonalcoholic fatty liver disease, is a rapidly growing global health concern, impacting roughly 30% of the world's population.
  • Hepatic steatosis (fatty liver) is the hallmark of MASLD, while liver fibrosis progression is critical for determining patient outcomes.
  • Noninvasive imaging plays a crucial role in the detection, quantification, and monitoring of both hepatic steatosis and fibrosis.

Purpose of the Study:

  • To review the principles, clinical applications, effectiveness, and recent advancements in imaging modalities for noninvasively assessing hepatic steatosis and fibrosis in MASLD.
  • To explore emerging diagnostic strategies for MASLD, including artificial intelligence, opportunistic screening, standardized guidelines, and therapeutic interventions.
  • To emphasize the significant role of radiologists in the evolving field of MASLD diagnosis and management.

Main Methods:

  • Comprehensive review of current literature on imaging techniques for MASLD.
  • Focus on ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) for assessing liver fat and fibrosis.
  • Exploration of machine learning, opportunistic screening, and guideline development in MASLD diagnosis.

Main Results:

  • Ultrasound, CT, and MRI are established modalities for evaluating hepatic steatosis and fibrosis in MASLD.
  • Advancements in imaging technology are improving accuracy and noninvasive assessment capabilities.
  • Emerging approaches like machine learning show promise for enhanced diagnostic accuracy and early detection.

Conclusions:

  • Imaging is indispensable for managing MASLD, from initial detection to monitoring disease progression and treatment response.
  • Radiologists are central to advancing MASLD diagnostics through the application and development of innovative imaging techniques.
  • The integration of new technologies and standardized approaches will likely transform MASLD care and improve patient outcomes.