Literature DB >> 24508482

Correlation between imaging and prognostic factors: molecular classification of breast cancers.

M Boisserie-Lacroix1, B Bullier2, G Hurtevent-Labrot2, S Ferron2, N Lippa2, G Mac Grogan3.   

Abstract

The new molecular classification of breast cancers defines cancer sub-groups with a distinct prognosis and response to treatment. Studies on the literature deal with the imaging of each tumour sub-type. The radiologist should be familiar with them in order to adapt the care of an aggressive sub-type. In view of the current knowledge, the following have been significantly more often observed: mammographical spiculated mass with echogenic halo in luminal A sub-type; architectural distortion in luminal B sub-type; an irregular mass with indistinct margin comprising microcalcifications, with an abrupt interface in the sonography, or non-sonographic mass in the HER2 sub-type; a very hypoechogenic, lobulated mass with indistinct or microlobulated margin, with an abrupt interface, sometimes pseudo-benign, in the triple-negative sub-type.
Copyright © 2013 Éditions françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Breast cancer; Mammography; Molecular classification; Sonography

Mesh:

Year:  2014        PMID: 24508482     DOI: 10.1016/j.diii.2013.12.013

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  3 in total

1.  Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study.

Authors:  Marc A Emerson; Katherine E Reeder-Hayes; Heather J Tipaldos; Mary E Bell; Marina R Sweeney; Lisa A Carey; H Shelton Earp; Andrew F Olshan; Melissa A Troester
Journal:  Curr Breast Cancer Rep       Date:  2020-05-14

2.  Energy Dispersive X-ray (EDX) microanalysis: A powerful tool in biomedical research and diagnosis.

Authors:  Manuel Scimeca; Simone Bischetti; Harpreet Kaur Lamsira; Rita Bonfiglio; Elena Bonanno
Journal:  Eur J Histochem       Date:  2018-03-15       Impact factor: 3.188

3.  In-cell determination of Lactate Dehydrogenase Activity in a Luminal Breast Cancer Model ⁻ ex vivo Investigation of Excised Xenograft Tumor Slices Using dDNP Hyperpolarized [1-13C]pyruvate.

Authors:  Yael Adler-Levy; Atara Nardi-Schreiber; Talia Harris; David Shaul; Sivaranjan Uppala; Gal Sapir; Naama Lev-Cohain; Jacob Sosna; Shraga Nahum Goldberg; J Moshe Gomori; Rachel Katz-Brull
Journal:  Sensors (Basel)       Date:  2019-05-05       Impact factor: 3.576

  3 in total

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