Retrospective Study
Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Sep 24, 2021; 12(9): 808-822
Published online Sep 24, 2021. doi: 10.5306/wjco.v12.i9.808
Role of mammogram and ultrasound imaging in predicting breast cancer subtypes in screening and symptomatic patients
Tay Wei Ming Ian, Ern Yu Tan, Niketa Chotai
Tay Wei Ming Ian, Department of Diagnostic Radiology, Singapore General Hospital, Singapore 101070, Singapore
Ern Yu Tan, Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
Niketa Chotai, Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore
Author contributions: Ian TWM contributed to data collection, statistical analysis, and manuscript writing; Tan EY contributed to data collection and ethics committee approval application; Chotai N contributed to data collection and manuscript editing.
Institutional review board statement: The Institutional review board was approved by the NHG DSRB, DSRB Reference Number: 2019/00058.
Informed consent statement: The Informed consent statement was waived by the Institutional review board.
Conflict-of-interest statement: The authors have stated that they have no conflicts of interest.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at niketachotai@gmail.com. Participants gave informed consent for data sharing as part of their inclusion into the hospital breast cancer registry.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Niketa Chotai, MBBS, MD, Academic Research, Attending Doctor, Department of Diagnostic Radiology, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore. niketachotai@gmail.com
Received: February 23, 2021
Peer-review started: February 23, 2021
First decision: June 16, 2021
Revised: June 24, 2021
Accepted: August 3, 2021
Article in press: August 3, 2021
Published online: September 24, 2021
Processing time: 205 Days and 18.2 Hours
Core Tip

Core Tip: Ultrasound and mammogram imaging features are correlated with breast cancer (BC) molecular subtypes. Knowledge of such correlations helps clinicians stratify patients, enabling earlier treatment or aiding therapeutic decisions. In a sample of symptomatic and asymptomatic (screening) patients, multivariate logistic regression showed that a combination of imaging features can distinguish: (1) Hormone receptor positive vs hormone receptor negative; (2) Triple negative BC (TNBC) vs non-TNBC; and (3) HER2+ (human epidermal receptor positive) vs non-HER2+ BC.