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Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods

BACKGROUND: In breast cancer (BC) Ki-67 cut-off levels, counting methods and inter- and intraobserver variation are still unresolved. To reduce inter-laboratory differences, it has been proposed that cut-off levels for Ki-67 should be determined based on the in-house median of 500 counted tumour cel...

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Autores principales: Skjervold, Anette H., Pettersen, Henrik Sahlin, Valla, Marit, Opdahl, Signe, Bofin, Anna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074355/
https://www.ncbi.nlm.nih.gov/pubmed/35524221
http://dx.doi.org/10.1186/s13000-022-01225-4
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author Skjervold, Anette H.
Pettersen, Henrik Sahlin
Valla, Marit
Opdahl, Signe
Bofin, Anna M.
author_facet Skjervold, Anette H.
Pettersen, Henrik Sahlin
Valla, Marit
Opdahl, Signe
Bofin, Anna M.
author_sort Skjervold, Anette H.
collection PubMed
description BACKGROUND: In breast cancer (BC) Ki-67 cut-off levels, counting methods and inter- and intraobserver variation are still unresolved. To reduce inter-laboratory differences, it has been proposed that cut-off levels for Ki-67 should be determined based on the in-house median of 500 counted tumour cell nuclei. Digital image analysis (DIA) has been proposed as a means to standardize assessment of Ki-67 staining in tumour tissue. In this study we compared digital and visual assessment (VA) of Ki-67 protein expression levels in full-face sections from a consecutive series of BCs. The aim was to identify the number of tumour cells necessary to count in order to reflect the growth potential of a given tumour in both methods, as measured by tumour grade, mitotic count and patient outcome. METHODS: A series of whole sections from 248 invasive carcinomas of no special type were immunohistochemically stained for Ki-67 and then assessed by VA and DIA. Five 100-cell increments were counted in hot spot areas using both VA and DIA. The median numbers of Ki-67 positive tumour cells were used to calculate cut-off levels for Low, Intermediate and High Ki-67 protein expression in both methods. RESULTS: We found that the percentage of Ki-67 positive tumour cells was higher in DIA compared to VA (medians after 500 tumour cells counted were 22.3% for VA and 30% for DIA). While the median Ki-67% values remained largely unchanged across the 100-cell increments for VA, median values were highest in the first 1-200 cells counted using DIA. We also found that the DIA100 High group identified the largest proportion of histopathological grade 3 tumours 70/101 (69.3%). CONCLUSIONS: We show that assessment of Ki-67 in breast tumours using DIA identifies a greater proportion of cases with high Ki-67 levels compared to VA of the same tumours. Furthermore, we show that diagnostic cut-off levels should be calibrated appropriately on the introduction of new methodology.
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spelling pubmed-90743552022-05-07 Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods Skjervold, Anette H. Pettersen, Henrik Sahlin Valla, Marit Opdahl, Signe Bofin, Anna M. Diagn Pathol Research BACKGROUND: In breast cancer (BC) Ki-67 cut-off levels, counting methods and inter- and intraobserver variation are still unresolved. To reduce inter-laboratory differences, it has been proposed that cut-off levels for Ki-67 should be determined based on the in-house median of 500 counted tumour cell nuclei. Digital image analysis (DIA) has been proposed as a means to standardize assessment of Ki-67 staining in tumour tissue. In this study we compared digital and visual assessment (VA) of Ki-67 protein expression levels in full-face sections from a consecutive series of BCs. The aim was to identify the number of tumour cells necessary to count in order to reflect the growth potential of a given tumour in both methods, as measured by tumour grade, mitotic count and patient outcome. METHODS: A series of whole sections from 248 invasive carcinomas of no special type were immunohistochemically stained for Ki-67 and then assessed by VA and DIA. Five 100-cell increments were counted in hot spot areas using both VA and DIA. The median numbers of Ki-67 positive tumour cells were used to calculate cut-off levels for Low, Intermediate and High Ki-67 protein expression in both methods. RESULTS: We found that the percentage of Ki-67 positive tumour cells was higher in DIA compared to VA (medians after 500 tumour cells counted were 22.3% for VA and 30% for DIA). While the median Ki-67% values remained largely unchanged across the 100-cell increments for VA, median values were highest in the first 1-200 cells counted using DIA. We also found that the DIA100 High group identified the largest proportion of histopathological grade 3 tumours 70/101 (69.3%). CONCLUSIONS: We show that assessment of Ki-67 in breast tumours using DIA identifies a greater proportion of cases with high Ki-67 levels compared to VA of the same tumours. Furthermore, we show that diagnostic cut-off levels should be calibrated appropriately on the introduction of new methodology. BioMed Central 2022-05-06 /pmc/articles/PMC9074355/ /pubmed/35524221 http://dx.doi.org/10.1186/s13000-022-01225-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Skjervold, Anette H.
Pettersen, Henrik Sahlin
Valla, Marit
Opdahl, Signe
Bofin, Anna M.
Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods
title Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods
title_full Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods
title_fullStr Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods
title_full_unstemmed Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods
title_short Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods
title_sort visual and digital assessment of ki-67 in breast cancer tissue - a comparison of methods
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074355/
https://www.ncbi.nlm.nih.gov/pubmed/35524221
http://dx.doi.org/10.1186/s13000-022-01225-4
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