Sonographic Features Of Invasive Ductal Breast Carcinomas Predictive Of Malignancy Grade

Keywords

BI-RADS; breast malignancy; histological grade; invasive ductal carcinoma; ultrasound

Abstract

Context: Assessment of individual sonographic features provides vital clues about the biological behavior of breast masses and can assist in determining histological grade of malignancy and thereby prognosis. Aims: Assessment of individual sonographic features of biopsy proven invasive ductal breast carcinomas as predictors of malignancy grade. Settings and Design: A retrospective analysis of sonographic findings of 103 biopsy proven invasive ductal breast carcinomas. Materials and Methods: Tumor characteristics on gray-scale ultrasound and color flow were assessed using American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) Atlas Fifth Edition. The sonographic findings of masses were individually correlated with their histopathologic grades. Statistical Analysis Used: Chi square test, ordinal regression, and Goodman and Kruskal tau test. Results: Breast mass showing reversal/lack of diastolic flow has a high probability of belonging to histological high grade tumor ( β 1.566, P 0.0001). The masses with abrupt interface boundary are more likely grade 3 ( β 1.524, P 0.001) in comparison to masses with echogenic halos. The suspicious calcifications present in and outside the mass is a finding associated with histologically high grade tumors. The invasive ductal carcinomas (IDCs) with complex solid and cystic echotexture are more likely to be of high histological grade ( β 1.146, P 0.04) as compared to masses with hypoechoic echotexture. Conclusions: Certain ultrasound features are associated with tumor grade on histopathology. If the radiologist is cognizant of these sonographic features, ultrasound can be a potent modality for predicting histopathological grade of IDCs of the breast, especially in settings where advanced tests such as receptor and molecular analyses are limited.

Publication Date

1-1-2018

Publication Title

Indian Journal of Radiology and Imaging

Volume

28

Issue

1

Number of Pages

123-131

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.4103/ijri.IJRI_257_17

Socpus ID

85044745038 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85044745038

This document is currently not available here.

Share

COinS