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Lookup NU author(s): Lucy Gentles, Professor Nicola CurtinORCiD, Dr Yvette DrewORCiD, Dr Rachel O'DonnellORCiD
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© Author(s) (or their employer(s)) 2020. In an era when immunohistochemistry (IHC) is increasingly depended on for histological subtyping, and IHC-determined biomarker informing rapid treatment choices is on the horizon; reproducible, quantifiable techniques are required. This study aimed to compare automated IHC scoring to quantify 6 DNA damage response protein markers using a tissue microarray of 66 ovarian cancer samples. Accuracy of quantification was compared between manual H-score and computer-aided quantification using Aperio ImageScope with and without a tissue classification algorithm. High levels of interobserver variation was seen with manual scoring. With automated methods, inclusion of the tissue classifier mask resulted in greater accuracy within carcinomatous areas and an overall increase in H-score of a median of 11.5% (0%-18%). Without the classifier, the score was underestimated by a median of 10.5 (5.2- 25.6). Automated methods are reliable and superior to manual scoring. Fixed algorithms offer the reproducibility needed for high-throughout clinical applications.
Author(s): Gentles L, Howarth R, Lee WJ, Sharma-Saha S, Ralte A, Curtin N, Drew Y, O'Donnell RL
Publication type: Article
Publication status: Published
Journal: Journal of Clinical Pathology
Year: 2021
Volume: 74
Issue: 7
Pages: 469-474
Print publication date: 01/07/2021
Online publication date: 19/11/2020
Acceptance date: 07/09/2020
ISSN (print): 0021-9746
ISSN (electronic): 1472-4146
Publisher: BMJ Publishing Group
URL: https://doi.org/10.1136/jclinpath-2020-207081
DOI: 10.1136/jclinpath-2020-207081
PubMed id: 33214200
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