Williams, BJ, Jayewardene, D and Treanor, D orcid.org/0000-0002-4579-484X (2019) Digital immunohistochemistry implementation, training and validation: experience and technical notes from a large clinical laboratory. Journal of Clinical Pathology, 72 (5). pp. 373-378. ISSN 0021-9746
Abstract
Aims: To consider the value proposition of digitisation of clinical immunohistochemistry services, and to develop an approach to digital immunohistochemistry implementation and validation in a large clinical laboratory.
Methods: A methodology for slide scanning in the laboratory was developed, in addition to a novel validation exercise, to allow pathologists to identify the strengths and weaknesses of digital immunohistochemistry reporting, and train in digital immunohistochemistry slide assessment.
Results: A total of 1480 digital immunohistochemistry slides were assessed by 24 consultant pathologists, with complete clinical concordance between the digital and the glass slide assessment observed. Certain stains were identified as being difficult/time consuming to assess using ×20 digital slides. These stains were rescanned at ×40, which improved the confidence of the pathologists to make a digital assessment. Full digitisation of immunohistochemistry slides was achieved, introducing six new steps into the pre-existing laboratory workflow.
Conclusions: While initially encountering challenges in terms of workflow, our experience showed that a well-designed, adequately resourced and well-managed scanning process can minimise the delay in slides being made available for review. Our approach to validation highlighted the need for careful assessment of a digital pathology system and scanning protocols before pathologists are expected to transfer from the light microscope to the digital microscope for routine immunohistochemistry assessment.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ. This is an author produced version of a paper published in Journal of Clinical Pathology. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cancer and Pathology (LICAP) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Mar 2019 13:54 |
Last Modified: | 09 Jun 2019 11:40 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Identification Number: | 10.1136/jclinpath-2018-205628 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143520 |