Radiomics for tumor characterization in breast cancer patients: A feasibility study comparing contrast-enhanced mammography and magnetic resonance imaging Journal Article


Authors: Marino, M. A.; Leithner, D.; Sung, J.; Avendano, D.; Morris, E. A.; Pinker, K.; Jochelson, M. S.
Article Title: Radiomics for tumor characterization in breast cancer patients: A feasibility study comparing contrast-enhanced mammography and magnetic resonance imaging
Abstract: The aim of our intra-individual comparison study was to investigate and compare the potential of radiomics analysis of contrast-enhanced mammography (CEM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast for the non-invasive assessment of tumor invasiveness, hormone receptor status, and tumor grade in patients with primary breast cancer. This retrospective study included 48 female patients with 49 biopsy-proven breast cancers who underwent pretreatment breast CEM and MRI. Radiomics analysis was performed by using MaZda software. Radiomics parameters were correlated with tumor histology (invasive vs. non-invasive), hormonal status (HR+ vs. HR−), and grading (low grade G1 + G2 vs. high grade G3). CEM radiomics analysis yielded classification accuracies of up to 92% for invasive vs. non-invasive breast cancers, 95.6% for HR+ vs. HR− breast cancers, and 77.8% for G1 + G2 vs. G3 invasive cancers. MRI radiomics analysis yielded classification accuracies of up to 90% for invasive vs. non-invasive breast cancers, 82.6% for HR+ vs. HR− breast cancers, and 77.8% for G1+G2 vs. G3 cancers. Preliminary results indicate a potential of both radiomics analysis of DCE-MRI and CEM for non-invasive assessment of tumor-invasiveness, hormone receptor status, and tumor grade. CEM may serve as an alternative to MRI if MRI is not available or contraindicated. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: adult; clinical article; human tissue; aged; cancer patient; comparative study; nuclear magnetic resonance imaging; magnetic resonance imaging; cancer grading; prospective study; breast cancer; classification; tumor differentiation; cohort analysis; retrospective study; histology; feasibility study; mammography; contrast enhancement; breast carcinoma; diagnosis; intermethod comparison; iohexol; hormone receptor; non invasive procedure; intraductal carcinoma; characterization; parameters; digital mammography; texture analysis; tumor invasion; lobular carcinoma; gadoterate meglumine; measurement accuracy; prognosis; human; article; radiomics; contrast-enhanced mammography
Journal Title: Diagnostics
Volume: 10
Issue: 7
ISSN: 2075-4418
Publisher: MDPI  
Date Published: 2020-07-01
Start Page: 492
Language: English
DOI: 10.3390/diagnostics10070492
PROVIDER: scopus
PMCID: PMC7400681
PUBMED: 32708512
DOI/URL:
Notes: Article -- Export Date: 1 October 2020 -- Source: Scopus
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MSK Authors
  1. Janice Sinae Sung
    49 Sung
  2. Elizabeth A Morris
    327 Morris
  3. Joanne Joo-Yeon Sung
    2 Sung
  4. Maria Adele Marino
    15 Marino