Literature DB >> 24525088

Correlation between MR imaging - prognosis factors and molecular classification of breast cancers.

C Alili1, E Pages1, F Curros Doyon1, H Perrochia2, I Millet1, P Taourel3.   

Abstract

The molecular classification of breast cancers defines subgroups of cancer with different prognoses and treatments. Each molecular type representing the intrinsic signature of the cancer corresponds to a histological profile incorporating hormone receptors, HER2 status and the proliferation index. This article describes the correlations between this molecular classification obtained in routine clinical practice using histological parameters and MRI. It shows that there is a specific MRI profile for triple-negative cancers: distinct demarcation, regular edges, hyperintensity on T2 weighted signals and, particularly, a crown enhancement. It is important for the radiologist to understand this molecular classification, firstly because of the relatively suggestive appearance of triple-negative basal-like cancers in the molecular classification, secondly, and particularly, as cancers in patients with the BRCA1 mutation are often triple-negative meaning that the criteria for reading the MRI needs to be tailored to this feature of the cancers, and finally because the efficacy of MRI in assessing response to neoadjuvant chemotherapy depends on the molecular class of cancer treated.
Copyright © 2014 Éditions françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Breast; MRI; Molecular classification; Prognosis

Mesh:

Year:  2014        PMID: 24525088     DOI: 10.1016/j.diii.2014.01.002

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


  4 in total

1.  Association between quantitative and qualitative image features of contrast-enhanced mammography and molecular subtypes of breast cancer.

Authors:  Simin Wang; Zhenxun Wang; Ruimin Li; Chao You; Ning Mao; Tingting Jiang; Zhongyi Wang; Haizhu Xie; Yajia Gu
Journal:  Quant Imaging Med Surg       Date:  2022-02

2.  Functionalized nanoparticles with targeted antibody to enhance imaging of breast cancer in vivo.

Authors:  Jesse S Chen; Jingwen Chen; Somnath Bhattacharjee; Zhengyi Cao; Han Wang; Scott D Swanson; Hong Zong; James R Baker; Su He Wang
Journal:  J Nanobiotechnology       Date:  2020-09-18       Impact factor: 10.435

3.  A Complex Radiomic Signature in Luminal Breast Cancer from a Weighted Statistical Framework: A Pilot Study.

Authors:  Rossana Castaldo; Nunzia Garbino; Carlo Cavaliere; Mariarosaria Incoronato; Luca Basso; Renato Cuocolo; Leonardo Pace; Marco Salvatore; Monica Franzese; Emanuele Nicolai
Journal:  Diagnostics (Basel)       Date:  2022-02-15

4.  Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification.

Authors:  Ming Zhao; Kuang Fu; Lei Zhang; Wenhui Guo; Qiong Wu; Xue Bai; Ziyao Li; Qiang Guo; Jiawei Tian
Journal:  Oncol Lett       Date:  2018-08-16       Impact factor: 2.967

  4 in total

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