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A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working

Pathology services are facing pressures due to the COVID-19 pandemic. Digital pathology has the capability to meet some of these unprecedented challenges by allowing remote diagnoses to be made at home, during periods of social distancing or self-isolation. However, while digital pathology allows di...

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Autores principales: Wright, Alexander I., Clarke, Emily L., Dunn, Catriona M., Williams, Bethany J., Treanor, Darren E., Brettle, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513773/
https://www.ncbi.nlm.nih.gov/pubmed/33033654
http://dx.doi.org/10.4103/jpi.jpi_25_20
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author Wright, Alexander I.
Clarke, Emily L.
Dunn, Catriona M.
Williams, Bethany J.
Treanor, Darren E.
Brettle, David S.
author_facet Wright, Alexander I.
Clarke, Emily L.
Dunn, Catriona M.
Williams, Bethany J.
Treanor, Darren E.
Brettle, David S.
author_sort Wright, Alexander I.
collection PubMed
description Pathology services are facing pressures due to the COVID-19 pandemic. Digital pathology has the capability to meet some of these unprecedented challenges by allowing remote diagnoses to be made at home, during periods of social distancing or self-isolation. However, while digital pathology allows diagnoses to be made on standard computer screens, unregulated home environments may not be conducive for optimal viewing conditions. There is also a paucity of experimental evidence available to support the minimum display requirements for digital pathology. This study presents a Point-of-Use Quality Assurance (POUQA) tool for remote assessment of viewing conditions for reporting digital pathology slides. The tool is a psychophysical test combining previous work from successfully implemented quality assurance tools in both pathology and radiology to provide a minimally intrusive display screen validation task, before viewing digital slides. The test is specific to pathology assessment in that it requires visual discrimination between colors derived from hematoxylin and eosin staining, with a perceptual difference of ±1 delta E (dE). This tool evaluates the transfer of a 1 dE signal through the digital image display chain, including the observers’ contrast and color responses within the test color range. The web-based system has been rapidly developed and deployed as a response to the COVID-19 pandemic and may be used by anyone in the world to help optimize flexible working conditions at: http://www. virtualpathology.leeds.ac.uk/res earch/systems/pouqa/.
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spelling pubmed-75137732020-10-07 A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working Wright, Alexander I. Clarke, Emily L. Dunn, Catriona M. Williams, Bethany J. Treanor, Darren E. Brettle, David S. J Pathol Inform Technical Note Pathology services are facing pressures due to the COVID-19 pandemic. Digital pathology has the capability to meet some of these unprecedented challenges by allowing remote diagnoses to be made at home, during periods of social distancing or self-isolation. However, while digital pathology allows diagnoses to be made on standard computer screens, unregulated home environments may not be conducive for optimal viewing conditions. There is also a paucity of experimental evidence available to support the minimum display requirements for digital pathology. This study presents a Point-of-Use Quality Assurance (POUQA) tool for remote assessment of viewing conditions for reporting digital pathology slides. The tool is a psychophysical test combining previous work from successfully implemented quality assurance tools in both pathology and radiology to provide a minimally intrusive display screen validation task, before viewing digital slides. The test is specific to pathology assessment in that it requires visual discrimination between colors derived from hematoxylin and eosin staining, with a perceptual difference of ±1 delta E (dE). This tool evaluates the transfer of a 1 dE signal through the digital image display chain, including the observers’ contrast and color responses within the test color range. The web-based system has been rapidly developed and deployed as a response to the COVID-19 pandemic and may be used by anyone in the world to help optimize flexible working conditions at: http://www. virtualpathology.leeds.ac.uk/res earch/systems/pouqa/. Wolters Kluwer - Medknow 2020-07-16 /pmc/articles/PMC7513773/ /pubmed/33033654 http://dx.doi.org/10.4103/jpi.jpi_25_20 Text en Copyright: © 2020 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Technical Note
Wright, Alexander I.
Clarke, Emily L.
Dunn, Catriona M.
Williams, Bethany J.
Treanor, Darren E.
Brettle, David S.
A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working
title A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working
title_full A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working
title_fullStr A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working
title_full_unstemmed A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working
title_short A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working
title_sort point-of-use quality assurance tool for digital pathology remote working
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513773/
https://www.ncbi.nlm.nih.gov/pubmed/33033654
http://dx.doi.org/10.4103/jpi.jpi_25_20
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