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Related Experiment Video

Updated: Oct 6, 2025

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
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Liver fibrosis quantification.

Sudhakar K Venkatesh1, Michael S Torbenson2

  • 1Abdominal Imaging Division, Department of Radiology, Mayo Clinic, 200, First Street SW, Rochester, MN, 55905, USA. venkatesh.sudhakar@mayo.edu.

Abdominal Radiology (New York)
|January 13, 2022
PubMed
Summary
This summary is machine-generated.

Liver fibrosis (LF) is a key outcome of chronic liver disease. Non-invasive tests (NITs) are increasingly used to assess LF, complementing or replacing liver biopsy for staging and treatment evaluation.

Keywords:
DiffusionElastographyFibrosis burdenHepatic fibrosisHepatobiliary uptakeImaging biomarkersNon-invasive testsSurface nodularitySusceptibilityT1-mappingVolumetry

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Area of Science:

  • Hepatology
  • Radiology
  • Biomarkers

Background:

  • Liver fibrosis (LF) represents the chronic liver disease (CLD) endpoint, significantly impacting patient outcomes.
  • Accurate LF quantification is crucial for staging, treatment response assessment, and prognosis.
  • Liver biopsy, the traditional method, has limitations including invasiveness and sampling errors.

Purpose of the Study:

  • To review the pathogenesis and evolution of LF in various CLDs.
  • To discuss the role and properties of imaging biomarkers for LF assessment.
  • To provide context for the clinical application of non-invasive tests (NITs) in LF evaluation.

Main Methods:

  • Review of existing literature on LF pathogenesis, staging, and non-invasive assessment.
  • Discussion of imaging biomarker properties and their correlation with LF.
  • Comparison of traditional liver biopsy with emerging NITs.

Main Results:

  • Non-invasive tests (NITs), including serum tests and imaging biomarkers like elastography, are gaining clinical importance.
  • NITs are validated against liver biopsy and are expected to be widely used for CLD evaluation.
  • Several imaging biomarkers are under research and development for future clinical application.

Conclusions:

  • Understanding LF pathogenesis is vital for interpreting imaging biomarker data.
  • Abdominal radiologists need to understand the properties measured by imaging biomarkers and their relation to LF.
  • NITs are poised to become the standard for LF evaluation, reserving liver biopsy for specific cases.