Literature DB >> 21181317

MR imaging of triple-negative breast cancer.

Takayoshi Uematsu1.   

Abstract

Little is known about the MR imaging features of triple-negative breast cancer (TNBC), but TNBC has a worse prognosis because it has no effective therapeutic targets, such as estrogen receptor for endocrine therapy and human epidermal growth factor receptor 2 (HER2) for anti-HER2 therapy. MR findings of a unifocal lesion, mass lesion type, smooth mass margin, rim heterogeneous enhancement, persistent enhancement pattern, and very high signal intensity on T2-weighted images are typical features of breast MR imaging associated with TNBC. Although TNBC can mimic a benign morphology, the early MR imaging recognition of TNBC could assist in both the pretreatment planning and the prognosis, as well as adding to our understanding of the biological behavior of TNBC.

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Year:  2010        PMID: 21181317     DOI: 10.1007/s12282-010-0236-3

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  11 in total

Review 1.  Clinical role of breast MRI now and going forward.

Authors:  D Leithner; G J Wengert; T H Helbich; S Thakur; R E Ochoa-Albiztegui; E A Morris; K Pinker
Journal:  Clin Radiol       Date:  2017-12-09       Impact factor: 2.350

2.  Sigmoid model analysis of breast dynamic contrast-enhanced MRI: Distinguishing between benign and malignant breast masses and breast cancer subtype prediction.

Authors:  Norikazu Koori; Tosiaki Miyati; Naoki Ohno; Hiroko Kawashima; Hiroko Nishikawa
Journal:  J Appl Clin Med Phys       Date:  2022-05-20       Impact factor: 2.243

3.  Computer-Aided Diagnosis Parameters of Invasive Carcinoma of No Special Type on 3T MRI: Correlation with Pathologic Immunohistochemical Markers.

Authors:  Jinho Jeong; Chang Suk Park; Jung Whee Lee; Kijun Kim; Hyeon Sook Kim; Sun-Young Jun; Se-Jeong Oh
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-09-15

Review 4.  [Multimodal, multiparametric and genetic breast imaging].

Authors:  Roberto LoGullo; Joao Horvat; Jeffrey Reiner; Katja Pinker
Journal:  Radiologe       Date:  2021-01-19       Impact factor: 0.635

5.  Fluorine-19 Magnetic Resonance Imaging and Positron Emission Tomography of Tumor-Associated Macrophages and Tumor Metabolism.

Authors:  Soo Hyun Shin; Sang Hyun Park; Se Hun Kang; Seung Won Kim; Minsun Kim; Daehong Kim
Journal:  Contrast Media Mol Imaging       Date:  2017-12-05       Impact factor: 3.161

Review 6.  Imaging and the completion of the omics paradigm in breast cancer.

Authors:  D Leithner; J V Horvat; R E Ochoa-Albiztegui; S Thakur; G Wengert; E A Morris; T H Helbich; K Pinker
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

Review 7.  Combining molecular and imaging metrics in cancer: radiogenomics.

Authors:  Roberto Lo Gullo; Isaac Daimiel; Elizabeth A Morris; Katja Pinker
Journal:  Insights Imaging       Date:  2020-01-03

8.  Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer.

Authors:  Michael Soussan; Fanny Orlhac; Marouane Boubaya; Laurent Zelek; Marianne Ziol; Véronique Eder; Irène Buvat
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

9.  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

10.  Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary.

Authors:  Kaushik Dutta; Sudipta Roy; Timothy Daniel Whitehead; Jingqin Luo; Abhinav Kumar Jha; Shunqiang Li; James Dennis Quirk; Kooresh Isaac Shoghi
Journal:  Cancers (Basel)       Date:  2021-07-28       Impact factor: 6.575

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