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Mitotic counts in breast cancer should be standardized with a uniform sample area
BACKGROUND: Mitotic rate is routinely assessed in breast cancer cases and based on the assessment of 10 high power fields (HPF), a non-standard sample area, as per the College of American Pathologists cancer checklist. The effect of sample area variation has not been assessed. METHODS: A computer mo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312435/ https://www.ncbi.nlm.nih.gov/pubmed/28202066 http://dx.doi.org/10.1186/s12938-016-0301-z |
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author | Bonert, Michael Tate, Angela J. |
author_facet | Bonert, Michael Tate, Angela J. |
author_sort | Bonert, Michael |
collection | PubMed |
description | BACKGROUND: Mitotic rate is routinely assessed in breast cancer cases and based on the assessment of 10 high power fields (HPF), a non-standard sample area, as per the College of American Pathologists cancer checklist. The effect of sample area variation has not been assessed. METHODS: A computer model making use of the binomial distribution was developed to calculate the misclassification rate in 1,000,000 simulated breast specimens using the extremes of field diameter (FD) and mitotic density cutoffs (3 and 8 mitoses/mm(2)), and for a sample area of 5 mm(2). Mitotic counts were assumed to be a random sampling problem using a mitotic rate distribution derived from an experimental study (range 0–16.4 mitoses/mm(2)). The cellular density was 2500 cell/mm(2). RESULTS: For the smallest microscopes (FD = 0.40 mm, area 1.26 mm(2)) 16% of cases were misclassified, compared to 9% of the largest (FD 0.69 mm, area 3.74 mm(2)), versus 8% for 5 mm(2). An excess of 27% of score 2 cases were misclassified as 1 or 3 for the lower FD. CONCLUSION: Mitotic scores based on ten HPFs of a small field area microscope are less reliable measures of the mitotic density than in a bigger field area microscope; therefore, the sample area should be standardized. When mitotic counts are close to the cut-offs the score is less reproducible. These cases could benefit from using larger sample areas. A measure of mitotic density variation due to sampling may assist in the interpretation of the mitotic score. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-016-0301-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5312435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53124352017-02-24 Mitotic counts in breast cancer should be standardized with a uniform sample area Bonert, Michael Tate, Angela J. Biomed Eng Online Research BACKGROUND: Mitotic rate is routinely assessed in breast cancer cases and based on the assessment of 10 high power fields (HPF), a non-standard sample area, as per the College of American Pathologists cancer checklist. The effect of sample area variation has not been assessed. METHODS: A computer model making use of the binomial distribution was developed to calculate the misclassification rate in 1,000,000 simulated breast specimens using the extremes of field diameter (FD) and mitotic density cutoffs (3 and 8 mitoses/mm(2)), and for a sample area of 5 mm(2). Mitotic counts were assumed to be a random sampling problem using a mitotic rate distribution derived from an experimental study (range 0–16.4 mitoses/mm(2)). The cellular density was 2500 cell/mm(2). RESULTS: For the smallest microscopes (FD = 0.40 mm, area 1.26 mm(2)) 16% of cases were misclassified, compared to 9% of the largest (FD 0.69 mm, area 3.74 mm(2)), versus 8% for 5 mm(2). An excess of 27% of score 2 cases were misclassified as 1 or 3 for the lower FD. CONCLUSION: Mitotic scores based on ten HPFs of a small field area microscope are less reliable measures of the mitotic density than in a bigger field area microscope; therefore, the sample area should be standardized. When mitotic counts are close to the cut-offs the score is less reproducible. These cases could benefit from using larger sample areas. A measure of mitotic density variation due to sampling may assist in the interpretation of the mitotic score. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-016-0301-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-16 /pmc/articles/PMC5312435/ /pubmed/28202066 http://dx.doi.org/10.1186/s12938-016-0301-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bonert, Michael Tate, Angela J. Mitotic counts in breast cancer should be standardized with a uniform sample area |
title | Mitotic counts in breast cancer should be standardized with a uniform sample area |
title_full | Mitotic counts in breast cancer should be standardized with a uniform sample area |
title_fullStr | Mitotic counts in breast cancer should be standardized with a uniform sample area |
title_full_unstemmed | Mitotic counts in breast cancer should be standardized with a uniform sample area |
title_short | Mitotic counts in breast cancer should be standardized with a uniform sample area |
title_sort | mitotic counts in breast cancer should be standardized with a uniform sample area |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312435/ https://www.ncbi.nlm.nih.gov/pubmed/28202066 http://dx.doi.org/10.1186/s12938-016-0301-z |
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