Ultrasonography and Mammographic Features Acting as Proxy to Molecular Subtyping of Breast Carcinoma: A Cross Sectional Study

Abstract

1. AIMS AND OBJECTIVES : Ÿ To determine the correlation between and predict the molecular subtypes of breast carcinoma based on mammography and ultrasound ndings. Ÿ To correlate the different epidemiological features of breast cancer patients with the molecular subtypes of breast carcinoma. 2. Materials And Methods: In our cross-sectional study, 84 biopsy proven cases of breast carcinoma were referred to radiology department. After taking informed consent and in presence of a female attendant, ultrasonography and mammography of the patients were done. All these patients went for surgical excision of the neoplastic mass; and the mass were sent for IHC analysis. Epidemiological data, clinical features, mammographic features and sonographic features were correlated with IHC subtype of the mass and P-Values were found out. P-Value<0.05 was considered to be statistically signicant. 3. Results: Ÿ Among 84 patients, 22 were of Triple Basal Negative subtype, 17 were of Luminal-A subtype, 16 were of Luminal-B (Her-2 negative) subtype, 15 were of Her-2 enriched subtype and 14 out of 84 patients were of Luminal-B (Her-2 positive) subtype. Ÿ IHC correlation between sex distribution, age distribution, age of menarche distribution, achievement of menopause and age of menopause distribution, parity distribution, history of breast feeding, family history of breast carcinoma, history of breast pain, breast ulceration, nipple discharge, quadrant location of breast mass and size of mass showed P-Value >0.05; which was statistically insignicant. Ÿ IHC corelation with mammographic microcalcications, shape of breast mass, margins of breast mass, posterior acoustic pattern of breast masses and vascularity of the breast mass showed P-Value <0.05; which was statistically signicant. 4. Conclusion: Mammographic microcalcication and other features on sonography like shape of the mass, margins of the mass, posterior acoustic features and vascularity of the mass are strongly correlated in predicting the molecular subtype of breast carcinoma.