South Asian Journal of Cancer

ORIGINAL ARTICLE: BREAST CANCER
Year
: 2019  |  Volume : 8  |  Issue : 3  |  Page : 140--144

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 Sonthineni1, Namita Mohindra2, Vinita Agrawal3, Zafar Neyaz2, Neeraj Jain2, Sabaretnam Mayilvagnan1, Gaurav Agarwal1 
1 Department of Endocrine and Breast Surgery, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
2 Department of Radio-Diagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
3 Department of Pathology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India

Correspondence Address:
Dr. Namita Mohindra
Department of Radio-Diagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh
India

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.


How to cite this article:
Sonthineni C, Mohindra N, Agrawal V, Neyaz Z, Jain N, Mayilvagnan S, Agarwal G. Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status.South Asian J Cancer 2019;8:140-144


How to cite this URL:
Sonthineni C, Mohindra N, Agrawal V, Neyaz Z, Jain N, Mayilvagnan S, Agarwal G. Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status. South Asian J Cancer [serial online] 2019 [cited 2019 Oct 17 ];8:140-144
Available from: http://journal.sajc.org/article.asp?issn=2278-330X;year=2019;volume=8;issue=3;spage=140;epage=144;aulast=Sonthineni;type=0