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Related Experiment Video

Updated: Nov 9, 2025

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Evolution of the liver biopsy and its future.

Dhanpat Jain1, Richard Torres2, Romulo Celli1

  • 1Department of Anatomic Pathology, Yale University School of Medicine, New Haven, CT, USA.

Translational Gastroenterology and Hepatology
|April 7, 2021
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Summary

Liver biopsies are evolving due to new technologies like whole slide imaging and AI. These advancements promise more efficient and accurate liver disease diagnosis and treatment, reshaping future clinical practices.

Keywords:
Clearing Histology with MultiPhoton Microscopy (CHiMP)Liver biopsymatrix assisted laser desorption imaging (MALDI)whole slide imaging (WSI)

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Area of Science:

  • Hepatology and Digital Pathology
  • Advancements in Histological and Molecular Analysis
  • Integration of Artificial Intelligence in Diagnostics

Background:

  • Liver biopsies are crucial for diagnosing liver disorders but their indications are changing.
  • Effective treatments for viral hepatitis have reduced biopsy frequency.
  • Emerging technologies are poised to transform liver tissue evaluation.

Purpose of the Study:

  • To review the historical role of liver biopsies in clinical practice.
  • To describe novel technologies impacting liver tissue analysis.
  • To discuss the future indications for liver biopsies.

Main Methods:

  • Whole Slide Imaging (WSI) for rapid, high-resolution digital slide creation.
  • Clearing Histology with MultiPhoton Microscopy (CHiMP) for advanced tissue visualization.
  • Matrix Assisted Laser Desorption/Ionization (MALDI) mass spectrometry for molecular profiling.
  • Application of Machine Learning (ML) and Artificial Intelligence (AI) for data analysis.

Main Results:

  • WSI enables efficient routine clinical use of digital slides.
  • CHiMP offers potential for reduced artifacts and increased data in liver specimens.
  • MALDI shows promise in diagnosing, prognosing, and understanding liver disease mechanisms.
  • AI and ML are being explored for automated diagnosis and prognosis from complex datasets.

Conclusions:

  • New technologies like WSI, CHiMP, and MALDI are enhancing liver tissue evaluation.
  • AI and ML integration holds significant potential for automated diagnostics and prognostics.
  • These advancements are expected to redefine the future role and indications of liver biopsies.