---
title: "Multiple DP/AI Quantification approaches are complimentary in identifying histology features: cross sectional study in a Japanese cohort"
description: "Multiple DP/AI Quantification approaches are complimentary in identifying histology features: cross sectional study in a Japanese cohort"
---

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# [Multiple DP/AI Quantification approaches are complimentary in identifying histology features: cross sectional study in a Japanese cohort](https://www.pathai.com/publications/multiple-dp/ai-quantification-approaches-are-complimentary-in-identifying-histology-features-cross-sectional-study-in-a-japanese-cohort)

 Written by [Admin](https://www.pathai.com/publications/author/admin) | Nov 15, 2024 5:00:00 AM

## Background

- MASH (metabolic dysfunction–associated steatohepatitis) drug development currently requires pathologist-read, biopsy-based evidence of improvement in fibrosis without worsening of steatohepatitis and/or resolution of steatohepatitis with no worsening of liver fibrosis.
- Liver biopsy is the reference standard for screening and efficacy in MASH drug development, with CRN staging of fibrosis and NAS features (steatosis, inflammation, and ballooning) as key components.
- However, pathologist-read scoring systems have many limitations, such as inter- and intra-reader variability with ordinal scoring systems. This has led to the establishment of many digital pathology (DP) approaches to evaluate fibrosis and disease activity in MASH.
- Here, we evaluated a direct comparison of multiple digital pathology approaches (PathAI, HistoIndex, and HALO) to measure liver fibrosis, steatosis, ballooning, and inflammation in a Japanese cohort.
  
   

## Conference

AASLD 2024

[View Poster](https://drive.google.com/file/d/1DXAHGPyi7o0ed8amwGpQifUYIJ7z-Ltt/view)

[View full post](https://www.pathai.com/publications/multiple-dp/ai-quantification-approaches-are-complimentary-in-identifying-histology-features-cross-sectional-study-in-a-japanese-cohort)

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