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Evaluation of positivity of estrogen receptors on breast cancer tissue through computerized morphometric analysis

Evaluation of positivity of estrogen receptors on breast cancer tissue through computerized... IntroductionOne of the essential steps in determining breast cancer patients’ appropriate treatment is the assessment of hormone receptor expression in neoplastic tissues, which is mostly performed by the immunohistochemistry (IHC) technique. The quantitative evaluation of these receptors is usually done subjectively, which allows variability in the results. Therefore, this research aimed to develop low-cost software capable of automatically evaluating immunohistochemical digital images of breast cancer tissues, generating standardized results.MethodsFor the development of the tool, MATLAB R2015a was used. Digital immunohistochemical images were evaluated for quantification of the total nuclei of the neoplastic cells. Subsequently, the number of neoplastic cells with positivity for estrogen receptor expression was obtained, followed by a quantitative evaluation of the positivity intensity using the Allred scale. Three specialists evaluated the same digital images independently and without knowledge of the computational analysis results, performing the Allred score.ResultsAccuracy was between 78.5 and 95.1%, sensitivity between 96.6 and 100%, specificity between 67.2 and 93.3%, and efficiency between 83.6 and 94.9%. We found an excellent level of agreement between manual scoring and the software analysis for the Allred total scale.ConclusionThe proposed automated software is a viable alternative for measuring immunohistochemical estrogen receptor expression in breast cancer tissues. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research on Biomedical Engineering Springer Journals

Evaluation of positivity of estrogen receptors on breast cancer tissue through computerized morphometric analysis

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References (25)

Publisher
Springer Journals
Copyright
Copyright © Sociedade Brasileira de Engenharia Biomedica 2021
ISSN
2446-4732
eISSN
2446-4740
DOI
10.1007/s42600-021-00170-3
Publisher site
See Article on Publisher Site

Abstract

IntroductionOne of the essential steps in determining breast cancer patients’ appropriate treatment is the assessment of hormone receptor expression in neoplastic tissues, which is mostly performed by the immunohistochemistry (IHC) technique. The quantitative evaluation of these receptors is usually done subjectively, which allows variability in the results. Therefore, this research aimed to develop low-cost software capable of automatically evaluating immunohistochemical digital images of breast cancer tissues, generating standardized results.MethodsFor the development of the tool, MATLAB R2015a was used. Digital immunohistochemical images were evaluated for quantification of the total nuclei of the neoplastic cells. Subsequently, the number of neoplastic cells with positivity for estrogen receptor expression was obtained, followed by a quantitative evaluation of the positivity intensity using the Allred scale. Three specialists evaluated the same digital images independently and without knowledge of the computational analysis results, performing the Allred score.ResultsAccuracy was between 78.5 and 95.1%, sensitivity between 96.6 and 100%, specificity between 67.2 and 93.3%, and efficiency between 83.6 and 94.9%. We found an excellent level of agreement between manual scoring and the software analysis for the Allred total scale.ConclusionThe proposed automated software is a viable alternative for measuring immunohistochemical estrogen receptor expression in breast cancer tissues.

Journal

Research on Biomedical Engineering – Springer Journals

Published: Dec 1, 2021

Keywords: Breast neoplasm; Computer-assisted; Image processing; Immunohistochemistry

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