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CC BY-NC-ND 4.0 · Indographics 2022; 01(02): 161-170
DOI: 10.1055/s-0042-1760321
Review Article

Contrast Enhanced Mammography Descriptors using Breast Imaging and Reporting and Data System

Prema Subramaniam
1   Division of Breast & Women's Imaging & Interventions Department of Diagnostic & Interventional Radiology Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
,
Rupa Renganathan
1   Division of Breast & Women's Imaging & Interventions Department of Diagnostic & Interventional Radiology Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
,
Parameswaran Prathiba Rajalakshmi
1   Division of Breast & Women's Imaging & Interventions Department of Diagnostic & Interventional Radiology Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
,
Vinita Thakur
1   Division of Breast & Women's Imaging & Interventions Department of Diagnostic & Interventional Radiology Kovai Medical Center and Hospital, Coimbatore, Tamil Nadu, India
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Abstract

Contrast-enhanced mammography (CEM) is an emerging breast imaging technique with a potential to develop into a one-stop imaging solution for several conditions which require imaging, especially its role in cancer detection and local staging when combined with ultrasound. In 2022, CEM lexicon was published as a supplement to the American College of Radiology Breast Imaging Reporting and Data System (ACR BIRADS) fifth edition. This pictorial review illustrates the findings that are seen on CEM using ACR BIRADS CEM lexicon to make the reader familiar with the terminologies. In our experience, interpretation and description of findings in CEM using ACR-BIRADS CEM lexicon had a short learning curve and it was easy to implement in practice as most of the terminologies were already in use for interpreting magnetic resonance imaging.

Keywords

contrast-enhanced mammography reporting - ACR BIRADS CEM lexicon - breast cancer - recombined images


Publication History

Article published online:
19 September 2023

© 2022. Indographics. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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