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Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions

INTRODUCTION: Digital pathology solutions are increasingly implemented for primary diagnostics in departments of pathology around the world. This has sparked a growing engagement on validation studies to evaluate the diagnostic performance of whole slide imaging (WSI) regarding safety, reliability,...

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Autores principales: Kusta, Olsi, Rift, Charlotte Vestrup, Risør, Torsten, Santoni-Rugiu, Eric, Brodersen, John Brandt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577136/
https://www.ncbi.nlm.nih.gov/pubmed/36268077
http://dx.doi.org/10.1016/j.jpi.2022.100136
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author Kusta, Olsi
Rift, Charlotte Vestrup
Risør, Torsten
Santoni-Rugiu, Eric
Brodersen, John Brandt
author_facet Kusta, Olsi
Rift, Charlotte Vestrup
Risør, Torsten
Santoni-Rugiu, Eric
Brodersen, John Brandt
author_sort Kusta, Olsi
collection PubMed
description INTRODUCTION: Digital pathology solutions are increasingly implemented for primary diagnostics in departments of pathology around the world. This has sparked a growing engagement on validation studies to evaluate the diagnostic performance of whole slide imaging (WSI) regarding safety, reliability, and accuracy. The aim of this review was to evaluate the performance of digital pathology for diagnostic purposes compared to light microscopy (LM) in human pathology, based on validation studies designed to assess such technologies. METHODS: In this systematic review based on PRISMA guidelines, we analyzed validation studies of WSI compared with LM. We included studies of diagnostic performance of WSI regarding diagnostic test accuracy (DTA) indicators, degree of overdiagnosis, diagnostic concordance, and observer variability as a secondary outcome. Overdiagnosis is (for example) detecting a pathological condition that will either not progress or progress very slowly. Thus, the patient will never get symptoms from this condition and the pathological condition will never be the cause of death. From a search comprising four databases: PubMed, EMBASE, Cochrane Library, and Web of Science, encompassing the period 2010–2021, we selected and screened 12 peer-reviewed articles that fulfilled our selection criteria. Risk of bias was conducted through QUADAS-2 tool, and data analysis and synthesis were performed in a qualitative format. RESULTS: We found that diagnostic performance of WSI was not inferior to LM for DTA indicators, concordance, and observer variability. The degree of overdiagnosis was not explicitly reported in any of the studies, while the term itself was used in one study and could be implicitly calculated in another. CONCLUSION: WSI had an overall high diagnostic accuracy based on traditional accuracy measurements; however, the degree of overdiagnosis is unknown.
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spelling pubmed-95771362022-10-19 Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions Kusta, Olsi Rift, Charlotte Vestrup Risør, Torsten Santoni-Rugiu, Eric Brodersen, John Brandt J Pathol Inform Review Article INTRODUCTION: Digital pathology solutions are increasingly implemented for primary diagnostics in departments of pathology around the world. This has sparked a growing engagement on validation studies to evaluate the diagnostic performance of whole slide imaging (WSI) regarding safety, reliability, and accuracy. The aim of this review was to evaluate the performance of digital pathology for diagnostic purposes compared to light microscopy (LM) in human pathology, based on validation studies designed to assess such technologies. METHODS: In this systematic review based on PRISMA guidelines, we analyzed validation studies of WSI compared with LM. We included studies of diagnostic performance of WSI regarding diagnostic test accuracy (DTA) indicators, degree of overdiagnosis, diagnostic concordance, and observer variability as a secondary outcome. Overdiagnosis is (for example) detecting a pathological condition that will either not progress or progress very slowly. Thus, the patient will never get symptoms from this condition and the pathological condition will never be the cause of death. From a search comprising four databases: PubMed, EMBASE, Cochrane Library, and Web of Science, encompassing the period 2010–2021, we selected and screened 12 peer-reviewed articles that fulfilled our selection criteria. Risk of bias was conducted through QUADAS-2 tool, and data analysis and synthesis were performed in a qualitative format. RESULTS: We found that diagnostic performance of WSI was not inferior to LM for DTA indicators, concordance, and observer variability. The degree of overdiagnosis was not explicitly reported in any of the studies, while the term itself was used in one study and could be implicitly calculated in another. CONCLUSION: WSI had an overall high diagnostic accuracy based on traditional accuracy measurements; however, the degree of overdiagnosis is unknown. Elsevier 2022-09-06 /pmc/articles/PMC9577136/ /pubmed/36268077 http://dx.doi.org/10.1016/j.jpi.2022.100136 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review Article
Kusta, Olsi
Rift, Charlotte Vestrup
Risør, Torsten
Santoni-Rugiu, Eric
Brodersen, John Brandt
Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions
title Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions
title_full Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions
title_fullStr Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions
title_full_unstemmed Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions
title_short Lost in digitization – A systematic review about the diagnostic test accuracy of digital pathology solutions
title_sort lost in digitization – a systematic review about the diagnostic test accuracy of digital pathology solutions
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577136/
https://www.ncbi.nlm.nih.gov/pubmed/36268077
http://dx.doi.org/10.1016/j.jpi.2022.100136
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