Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sonthineni, Chaitra, Mohindra, Namita, Agrawal, Vinita, Neyaz, Zafar, Jain, Neeraj, Mayilvagnan, Sabaretnam, Agarwal, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
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
_version_ 1783444677008031744
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
work_keys_str_mv AT sonthinenichaitra correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus
AT mohindranamita correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus
AT agrawalvinita correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus
AT neyazzafar correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus
AT jainneeraj correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus
AT mayilvagnansabaretnam correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus
AT agarwalgaurav correlationofdigitalmammographyanddigitalbreasttomosynthesisfeaturesofselfdetectedbreastcancerswithhumanepidermalgrowthfactorreceptortype2neustatus