The performance of digital microscopy for primary diagnosis in human pathology: a systematic review

Anna Luíza Damaceno Araújo1, Lady Paola Aristizábal Arboleda1, Natalia Rangel Palmier1

  • 1Oral Diagnosis Department, Semiology and Oral Pathology Areas, Piracicaba Dental School, University of Campinas (UNICAMP), Av. Limeira, 901, Bairro Areião, Piracicaba, São Paulo, 13414-903, Brazil.

Insights

Digital microscopy (DM) using whole slide imaging (WSI) demonstrates excellent diagnostic concordance with conventional methods. While minor disagreements occur, primarily due to challenging cases, DM is reliable for primary pathology diagnoses.

Area of Science:

  • Digital Pathology
  • Histopathology
  • Medical Imaging

Background:

  • Whole slide imaging (WSI) systems are increasingly used in digital microscopy (DM).
  • Validation studies are crucial to establish the reliability of DM for primary diagnostic purposes.
  • Intraobserver agreement is a key metric for assessing diagnostic performance.

Purpose of the Study:

  • To systematically review intraobserver agreement in studies validating WSI systems.
  • To evaluate the performance of WSI devices for primary diagnostic use.
  • To identify and categorize reasons for diagnostic disagreements in digital pathology.

Main Methods:

  • Systematic literature search of Scopus, MEDLINE/PubMed, and Embase.
  • Inclusion of 13 articles reporting on WSI validation studies.
  • Evaluation of intraobserver agreement and reported reasons for discordant diagnoses.

Main Results:

  • Excellent intraobserver agreement (87%-98.3%, κ 0.8-0.98) was observed across 13 studies.
  • Borderline/challenging cases (53.8%) were the most common reason for diagnostic disagreements.
  • Technical limitations of WSI were rarely cited as a cause for discordance; lack of clinical information and biopsy quality were noted.

Conclusions:

  • Digital microscopy using WSI demonstrates high concordance with conventional light microscopy.
  • WSI is a reliable tool for primary diagnoses across various pathology subspecialties.
  • A proposed categorization for digital pathology discrepancies can aid future validation studies.

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