Comparison of digital displays for efficient diagnosis and accuracy

Read full text
Authors: Monika Lamba Saini, Amanda C. Hemmerich, Anna Banach-Ovens, Hannah Manssens, Robbie Dougan, Tom R. L. Kimpe, John D. Cochran
Cited by: 1
References: 19

Abstract

Digital pathology is transforming diagnostic workflows by enabling the interpretation of whole-slide images on digital displays, offering advantages in remote diagnostics, efficiency, and integration with computational tools. However, diagnostic reliability depends not only on scanner and software quality but also on the performance of the display systems used for image review, as well as on environmental and ergonomic factors. This study evaluated the impact of display quality on diagnostic accuracy by comparing a medical-grade, professional-grade, and consumer-grade display against conventional light microscopy. Nineteen hematoxylin and eosin (H&E) and 19 immunohistochemistry (IHC) slides were assessed by two board-certified pathologists across all modalities. The medical-grade display achieved perfect concordance with microscopy for H&E slides and was rated highest for image clarity, color fidelity, and luminance stability. In contrast, the professional- and consumer-grade displays showed lower concordance (85-95%) and received inferior subjective evaluation. For IHC slides, both observers achieved 100% concordance for HER2 and AMACR markers across all displays. One discordant MLH1 case was noted on the medical-grade display for one observer out of five cases. Although MLH1 is consistently analyzed alongside other MSI markers, this isolated discrepancy precludes firm conclusions about display performance for this marker. These findings highlight the importance of clinically validated displays with automated calibration and quality assurance mechanisms to ensure consistent diagnostic performance. As digital pathology becomes increasingly integrated with remote workflows, establishing minimum performance standards for display systems will be essential to safeguard diagnostic accuracy, reproducibility, and patient safety in clinical practice.

Fields of Study & Subjects

AI in cancer detection Digital Radiography and Breast Imaging Clinical Laboratory Practices and Quality Control

Publication details

Journal / source
Journal of Pathology Informatics
Publisher
Elsevier BV
Volume
20
Pages
100544–100544
Publication date
1 January 2026
Language
EN