Literature DB >> 22351245

MRI findings of inflammatory breast cancer, locally advanced breast cancer, and acute mastitis: T2-weighted images can increase the specificity of inflammatory breast cancer.

Takayoshi Uematsu1.   

Abstract

Inflammatory breast carcinoma (IBC) is rare; however, it is the most aggressive variant of breast cancer with a very poor outcome. Locally advanced breast cancer and acute mastitis have a presentation similar to that of IBC. Therefore, the diagnosis of IBC remains a challenge in breast imaging. MRI can play a crucial role in the differential diagnosis by providing criteria indicative of IBC. Several MRI findings, especially T2-weighted images, are promising for more reliable and accurate interpretation of IBC.

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Year:  2012        PMID: 22351245     DOI: 10.1007/s12282-012-0346-1

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


  6 in total

1.  An unexpected diagnosis of breast malignancy.

Authors:  T Richardson; F Cottier
Journal:  Ann R Coll Surg Engl       Date:  2017-07       Impact factor: 1.891

Review 2.  Inflammatory breast cancer: no longer an absolute contraindication for breast conservation surgery following good response to neoadjuvant therapy.

Authors:  Monika Brzezinska; J Michael Dixon
Journal:  Gland Surg       Date:  2018-12

3.  Differential diagnosis of plasma cell mastitis and invasive ductal carcinoma using multiparametric MRI.

Authors:  Rong Chen; Baoquan Hu; Yulong Zhang; Caibao Liu; Lianhua Zhao; Yan Jiang; Yan Xu
Journal:  Gland Surg       Date:  2020-04

4.  Inflammatory breast cancer: time to standardise diagnosis assessment and management, and for the joining of forces to facilitate effective research.

Authors:  D Rea; A Francis; A M Hanby; V Speirs; E Rakha; A Shaaban; S Chan; S Vinnicombe; I O Ellis; S G Martin; L J Jones; F Berditchevski
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

5.  A rim-enhanced mass with central cystic changes on MR imaging: how to distinguish breast cancer from inflammatory breast diseases?

Authors:  Lijun Wang; Dengbin Wang; Xiaochun Fei; Mei Ruan; Weimin Chai; Lin Xu; Xiaoxiao Li
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

6.  Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle study.

Authors:  Jay Hegdé
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-04
  6 in total

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