Literature DB >> 24512798

Research and progress in magnetic resonance imaging of triple-negative breast cancer.

Junfeng Li1, Xiaowei Han2.   

Abstract

Triple-negative breast cancer (TNBC), which characterized by distinct biological and clinical pathological features, has a worse prognosis because the lack of effective therapeutic targets. Breast MR is the most accurate imaging modality for diagnosis of breast cancer currently. MR imaging recognition could assist in diagnosis, pretreatment planning and prognosis evaluation of TNBC. MR findings of a larger solitary lesion, mass with smooth mass margin, high signal intensity on T2-weighted images and rim enhancement are typical MRI features associated with TNBC. Further work is necessary about the clinical application of dynamic contrast-enhanced MR imaging (DCE-MRI), DWI and MRS.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Magnetic resonance imaging

Mesh:

Year:  2014        PMID: 24512798     DOI: 10.1016/j.mri.2013.12.013

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  3 in total

1.  Rim sign and histogram analysis of apparent diffusion coefficient values on diffusion-weighted MRI in triple-negative breast cancer: Comparison with ER-positive subtype.

Authors:  Yangsean Choi; Sung Hun Kim; In Kyung Youn; Bong Joo Kang; Woo-Chan Park; Ahwon Lee
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

2.  Nomogram for the prediction of triple-negative breast cancer histological heterogeneity based on multiparameter MRI features: A preliminary study including metaplastic carcinoma and non- metaplastic carcinoma.

Authors:  Qing-Cong Kong; Wen-Jie Tang; Si-Yi Chen; Wen-Ke Hu; Yue Hu; Yun-Shi Liang; Qiong-Qiong Zhang; Zi-Xuan Cheng; Di Huang; Jing Yang; Yuan Guo
Journal:  Front Oncol       Date:  2022-09-20       Impact factor: 5.738

3.  Comparison of the sensitivity of mammography, ultrasound, magnetic resonance imaging and combinations of these imaging modalities for the detection of small (≤2 cm) breast cancer.

Authors:  Hai-Long Chen; Jiao-Qun Zhou; Qiang Chen; Yong-Chuan Deng
Journal:  Medicine (Baltimore)       Date:  2021-07-02       Impact factor: 1.817

  3 in total

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