Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status

Chaitra Sonthineni; Namita Mohindra; Vinita Agrawal; Zafar Neyaz; Neeraj Jain; Sabaretnam Mayilvagnan; Gaurav Agarwal

doi:10.4103/sajc.sajc_300_18

South Asian Journal of Cancer, Table of Contents

CC BY-NC-ND 4.0 · South Asian J Cancer 2019; 08(03): 140-144
DOI: 10.4103/sajc.sajc_300_18

ORIGINAL ARTICLE: Breast Cancers

Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status

Chaitra Sonthineni

Department of Endocrine and Breast Surgery, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

,

Namita Mohindra

Department of Radio-Diagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

,

Vinita Agrawal

Department of Pathology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

,

Zafar Neyaz

Department of Radio-Diagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

,

Neeraj Jain

Department of Radio-Diagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

,

Sabaretnam Mayilvagnan

Department of Endocrine and Breast Surgery, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

,

Gaurav Agarwal

Department of Endocrine and Breast Surgery, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh

› Author Affiliations

Abstract

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Abstract

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.

Key words

Breast carcinoma - digital breast tomosynthesis - digital mammography - human epidermal growth factor receptor type 2/neu - immunohistochemistry

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References

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