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Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer
AIMS: Ki-67 is a prognostic marker in breast cancer; however, the use of the Ki-67 labelling index (LI) in clinical practice requires a consistent and easily accessible scoring method. The present study evaluated the use of the free internet-based image analysis program ImmunoRatio to score Ki-67 LI...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537563/ https://www.ncbi.nlm.nih.gov/pubmed/28298390 http://dx.doi.org/10.1136/jclinpath-2016-204162 |
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author | Yeo, Min-Kyung Kim, Hee Eun Kim, Sung Hun Chae, Byung Joo Song, Byung Joo Lee, Ahwon |
author_facet | Yeo, Min-Kyung Kim, Hee Eun Kim, Sung Hun Chae, Byung Joo Song, Byung Joo Lee, Ahwon |
author_sort | Yeo, Min-Kyung |
collection | PubMed |
description | AIMS: Ki-67 is a prognostic marker in breast cancer; however, the use of the Ki-67 labelling index (LI) in clinical practice requires a consistent and easily accessible scoring method. The present study evaluated the use of the free internet-based image analysis program ImmunoRatio to score Ki-67 LI in breast cancer in comparison with manual counting. METHODS: Ki-67 immunohistochemical detection was performed in 577 breast cancer cases, and the Ki-67 LI was determined by ImmunoRatio and manual counting. RESULTS: The Ki-67 LI determined by ImmunoRatio correlated well with that obtained by manual counting. The concordance rate between ImmunoRatio and manual counting was excellent (κ coefficient of 0.881) at a Ki-67 LI cut-off value of 20%. Cases with high Ki-67 LI by ImmunoRatio were associated with poor overall survival, in particular in the hormone receptor positive group. CONCLUSIONS: The web-based automated image analysis program ImmunoRatio is an attractive alternative to manual counting to determine the Ki-67 LI in breast cancer. |
format | Online Article Text |
id | pubmed-5537563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55375632017-08-03 Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer Yeo, Min-Kyung Kim, Hee Eun Kim, Sung Hun Chae, Byung Joo Song, Byung Joo Lee, Ahwon J Clin Pathol Short Report AIMS: Ki-67 is a prognostic marker in breast cancer; however, the use of the Ki-67 labelling index (LI) in clinical practice requires a consistent and easily accessible scoring method. The present study evaluated the use of the free internet-based image analysis program ImmunoRatio to score Ki-67 LI in breast cancer in comparison with manual counting. METHODS: Ki-67 immunohistochemical detection was performed in 577 breast cancer cases, and the Ki-67 LI was determined by ImmunoRatio and manual counting. RESULTS: The Ki-67 LI determined by ImmunoRatio correlated well with that obtained by manual counting. The concordance rate between ImmunoRatio and manual counting was excellent (κ coefficient of 0.881) at a Ki-67 LI cut-off value of 20%. Cases with high Ki-67 LI by ImmunoRatio were associated with poor overall survival, in particular in the hormone receptor positive group. CONCLUSIONS: The web-based automated image analysis program ImmunoRatio is an attractive alternative to manual counting to determine the Ki-67 LI in breast cancer. BMJ Publishing Group 2017-08 2017-03-15 /pmc/articles/PMC5537563/ /pubmed/28298390 http://dx.doi.org/10.1136/jclinpath-2016-204162 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Short Report Yeo, Min-Kyung Kim, Hee Eun Kim, Sung Hun Chae, Byung Joo Song, Byung Joo Lee, Ahwon Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer |
title | Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer |
title_full | Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer |
title_fullStr | Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer |
title_full_unstemmed | Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer |
title_short | Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer |
title_sort | clinical usefulness of the free web-based image analysis application immunoratio for assessment of ki-67 labelling index in breast cancer |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537563/ https://www.ncbi.nlm.nih.gov/pubmed/28298390 http://dx.doi.org/10.1136/jclinpath-2016-204162 |
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