Review
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Med Imaging. Jun 28, 2020; 1(1): 6-18
Published online Jun 28, 2020. doi: 10.35711/aimi.v1.i1.6
Breast dynamic contrast-enhanced-magnetic resonance imaging and radiomics: State of art
Alessia Orlando, Mariangela Dimarco, Roberto Cannella, Tommaso Vincenzo Bartolotta
Alessia Orlando, Mariangela Dimarco, Roberto Cannella, Tommaso Vincenzo Bartolotta, Section of Radiology - BiND, University Hospital “Paolo Giaccone”, Palermo 90127, Italy
Tommaso Vincenzo Bartolotta, Department of Radiology, Fondazione Istituto Giuseppe Giglio, Ct.da Pietrapollastra, Palermo 90015, Italy
Author contributions: Orlando A and Dimarco M wrote and revised the manuscript for important intellectual content; Cannella R and Bartolotta TV made critical revisions related to important intellectual content of the manuscript; all the authors approved the final version of the article.
Conflict-of-interest statement: No conflict of interests.
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: Tommaso Vincenzo Bartolotta, MD, PhD, Associate Professor, Section of Radiology - BiND, University Hospital “Paolo Giaccone”, Via Del Vespro 129, Palermo 90127, Italy. tommasovincenzo.bartolotta@unipa.it
Received: June 1, 2020
Peer-review started: June 1, 2020
First decision: June 5, 2020
Revised: June 17, 2020
Accepted: June 20, 2020
Article in press: June 20, 2020
Published online: June 28, 2020
Core Tip

Core tip: Dynamic contrast-enhanced-magnetic resonance imaging (DCE-MRI) has been evaluated in most of radiomics studies on breast cancers. However, heterogeneity in study designs related to magnetic field, contrast media used, and software available to perform radiomics challenge the comparisons of available results. In this review we will focus on the following applications of radiomics in breast DCE-MRI: characterization of breast lesions, prediction of breast cancer histological types, correlation with receptor status, prediction of lymph node metastases, prediction of tumor response to neoadjuvant systemic therapy, prognosis and recurrence risks.