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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Display evaluation for primary diagnosis using digital pathology.

Emily L Clarke1,2, Craig Munnings3, Bethany Williams1,2

  • 1University of Leeds, Division of Pathology and Data Analytics, Leeds, United Kingdom.

Journal of Medical Imaging (Bellingham, Wash.)
|April 29, 2020
PubMed
Summary
This summary is machine-generated.

Pathologists prefer large, high-resolution, high-luminance displays for digital microscopy diagnosis. Cost-effective options may exist with slightly lower specifications, balancing performance and budget for display procurement.

Keywords:
digital pathologydisplaymonitorwhole slide image

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Area of Science:

  • Digital pathology
  • Medical imaging
  • Histopathology

Background:

  • Digital microscopy is increasingly considered for primary diagnosis in pathology.
  • Lack of defined minimum standards for display procurement poses challenges.
  • Informed decisions require evaluating displays with varying technical specifications.

Purpose of the Study:

  • To evaluate a range of displays for primary diagnostic use in digital pathology.
  • To inform pathology departments on display procurement decisions.
  • To identify preferred display characteristics for histopathologists.

Main Methods:

  • Histopathologists surveyed eight short-listed displays.
  • Participants reviewed a whole slide image (haematoxylin and eosin stained nevus).
  • Preference was scored based on image quality and display size.

Main Results:

  • Thirty-four pathologists participated in the evaluation.
  • The highest-rated display featured the largest size, highest resolution (11.8-MP), and highest luminance.
  • A trend indicated preference for increased luminance and resolution.

Conclusions:

  • Histopathologists prefer large, medical-grade displays with high luminance and resolution.
  • Lower-cost, medical-grade displays with slightly reduced specifications may offer a cost-effective solution.
  • These findings aid in optimizing display selection for digital pathology primary diagnosis.