Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology.

Journal: Human pathology
PMID: 38640986

Abstract

INTRODUCTION: Semi-quantitative scoring of various parameters in renal biopsy is accepted as an important tool to assess disease activity and prognostication. There are concerns on the impact of interobserver variability in its prognostic utility, generating a need for computerized quantification.

Authors

  • Rajesh Nachiappa Ganesh
    Department of Pathology and Genomic Medicine, The Houston Methodist Hospital and Research Institute, Houston, TX, USA. Electronic address: rajesh.ng@jipmer.ac.in.
  • Edward A Graviss
    Department of Pathology and Genomic Medicine, The Houston Methodist Hospital and Research Institute, Houston, TX, USA; J.C. Walter Jr. Transplant Center, Department of Surgery, Houston, TX, USA.
  • Duc Nguyen
    Department of Pediatrics, Baylor College of Medicine, USA. Electronic address: Duc.nguyen4@bcm.edu.
  • Ziad El-Zaatari
    Department of Pathology and Genomic Medicine, The Houston Methodist Hospital and Research Institute, Houston, TX, USA.
  • Lillian Gaber
    Department of Pathology and Genomic Medicine, The Houston Methodist Hospital and Research Institute, Houston, TX, USA; J.C. Walter Jr. Transplant Center, Department of Surgery, Houston, TX, USA.
  • Roberto Barrios
    Department of Pathology and Genomic Medicine, The Houston Methodist Hospital and Research Institute, Houston, TX, USA.
  • Luan Truong
    Department of Pathology and Genomic Medicine, The Houston Methodist Hospital and Research Institute, Houston, TX, USA.
  • Alton B Farris
    Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, 30322, USA.

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