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Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status
CONTEXT: Breast cancer is a heterogeneous disease with several histological subtypes. Its prognosis and management are influenced by human epidermal growth factor receptor type 2 (HER2/neu) expression. Varying grades of HER2/neu overexpression are likely to have different morphological features. Dig...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699222/ https://www.ncbi.nlm.nih.gov/pubmed/31489283 http://dx.doi.org/10.4103/sajc.sajc_300_18 |
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author | Sonthineni, Chaitra Mohindra, Namita Agrawal, Vinita Neyaz, Zafar Jain, Neeraj Mayilvagnan, Sabaretnam Agarwal, Gaurav |
author_facet | Sonthineni, Chaitra Mohindra, Namita Agrawal, Vinita Neyaz, Zafar Jain, Neeraj Mayilvagnan, Sabaretnam Agarwal, Gaurav |
author_sort | Sonthineni, Chaitra |
collection | PubMed |
description | CONTEXT: Breast cancer is a heterogeneous disease with several histological subtypes. Its prognosis and management are influenced by human epidermal growth factor receptor type 2 (HER2/neu) expression. Varying grades of HER2/neu overexpression are likely to have different morphological features. Digital breast tomosynthesis (DBT) enhances lesion visibility and hence that it may reveal features closer to histomorphological findings. AIMS: The aim of this study is to correlate digital mammography (DM) and DBT findings of self-detected tumors with HER2/neu status, to determine whether differences in imaging features can help predict the degrees of HER2/neu overexpression. SETTINGS AND DESIGN: Prospective study conducted in a tertiary care hospital. METHODS: For 100 consecutive patients with self-detected lumps, DM and DBT data were reviewed by two radiologists who were blinded to histopathology. Of these, 63 patients with histologically proven breast cancer were recruited and their DM and DBT findings compared and correlated with HER2neu status (scores 0–3+). STATISTICAL ANALYSIS: Pearson's Chi-squared test and Fisher's exact test were used (SPSS version 22.0, IBM). RESULTS: Morphology of lesions at both DM and DBT varied with HER2/neu status (P = 0.04 and 0.015, respectively). HER2-0 tumors mostly presented as masses without microcalcifications (88.8%), while most of HER2-3+ tumors as masses or asymmetries with microcalcifications (61.9%). The presence or absence of calcifications varied significantly with HER2/neu status. Breast imaging-reporting and data system (BI-RADS) scoring varied significantly (P < 0.001) with higher HER2 signal, more frequently associated with BI-RADS 5 score. CONCLUSION: DM and DBT features vary with the intensity of HER2 immunostaining. Higher BI-RADS scores, microcalcifications, and spiculated margins are frequently associated with HER2/neu 3+ lesions. |
format | Online Article Text |
id | pubmed-6699222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-66992222019-09-05 Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status Sonthineni, Chaitra Mohindra, Namita Agrawal, Vinita Neyaz, Zafar Jain, Neeraj Mayilvagnan, Sabaretnam Agarwal, Gaurav South Asian J Cancer ORIGINAL ARTICLE: Breast Cancers CONTEXT: Breast cancer is a heterogeneous disease with several histological subtypes. Its prognosis and management are influenced by human epidermal growth factor receptor type 2 (HER2/neu) expression. Varying grades of HER2/neu overexpression are likely to have different morphological features. Digital breast tomosynthesis (DBT) enhances lesion visibility and hence that it may reveal features closer to histomorphological findings. AIMS: The aim of this study is to correlate digital mammography (DM) and DBT findings of self-detected tumors with HER2/neu status, to determine whether differences in imaging features can help predict the degrees of HER2/neu overexpression. SETTINGS AND DESIGN: Prospective study conducted in a tertiary care hospital. METHODS: For 100 consecutive patients with self-detected lumps, DM and DBT data were reviewed by two radiologists who were blinded to histopathology. Of these, 63 patients with histologically proven breast cancer were recruited and their DM and DBT findings compared and correlated with HER2neu status (scores 0–3+). STATISTICAL ANALYSIS: Pearson's Chi-squared test and Fisher's exact test were used (SPSS version 22.0, IBM). RESULTS: Morphology of lesions at both DM and DBT varied with HER2/neu status (P = 0.04 and 0.015, respectively). HER2-0 tumors mostly presented as masses without microcalcifications (88.8%), while most of HER2-3+ tumors as masses or asymmetries with microcalcifications (61.9%). The presence or absence of calcifications varied significantly with HER2/neu status. Breast imaging-reporting and data system (BI-RADS) scoring varied significantly (P < 0.001) with higher HER2 signal, more frequently associated with BI-RADS 5 score. CONCLUSION: DM and DBT features vary with the intensity of HER2 immunostaining. Higher BI-RADS scores, microcalcifications, and spiculated margins are frequently associated with HER2/neu 3+ lesions. Wolters Kluwer - Medknow 2019 /pmc/articles/PMC6699222/ /pubmed/31489283 http://dx.doi.org/10.4103/sajc.sajc_300_18 Text en Copyright: © 2019 The South Asian Journal of Cancer http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | ORIGINAL ARTICLE: Breast Cancers Sonthineni, Chaitra Mohindra, Namita Agrawal, Vinita Neyaz, Zafar Jain, Neeraj Mayilvagnan, Sabaretnam Agarwal, Gaurav Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
title | Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
title_full | Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
title_fullStr | Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
title_full_unstemmed | Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
title_short | Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
title_sort | correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status |
topic | ORIGINAL ARTICLE: Breast Cancers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699222/ https://www.ncbi.nlm.nih.gov/pubmed/31489283 http://dx.doi.org/10.4103/sajc.sajc_300_18 |
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