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Can MR Imaging Contribute in Characterizing Well-circumscribed Breast Carcinomas?

Authors
Yoo, Jung LimWoo, Ok HeeKim, Yoon KyungCho, Kyu RanYong, Hwan SeokSeo, Bo KyoungKim, AereeKang, Eun-Young
Issue Date
Oct-2010
Publisher
RADIOLOGICAL SOC NORTH AMERICA
Citation
RADIOGRAPHICS, v.30, no.6, pp.1689 - U276
Indexed
SCIE
SCOPUS
Journal Title
RADIOGRAPHICS
Volume
30
Number
6
Start Page
1689
End Page
U276
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/134463
DOI
10.1148/rg.306105511
ISSN
0271-5333
Abstract
Most well-circumscribed breast masses are benign lesions such as cysts, fibroadenomas, and intramammary lymph nodes. Nevertheless, 10%-20% of breast malignancies are well-circumscribed masses, and these malignancies include papillary, mucinous, medullary, and metaplastic carcinomas, as well as malignant phyllodes tumors. Therefore, it is important to differentiate these well-circumscribed breast malignancies from benign breast lesions, but it is not easy to do so with conventional imaging modalities such as mammography and ultrasonography (US). As an emerging adjunctive imaging method, magnetic resonance (MR) imaging has substantial potential in characterizing well-circumscribed breast carcinomas. Analysis of the lesion signal intensity on nonenhanced T2-weighted MR images, determination of the enhancement pattern, and kinetic curve assessment can greatly help differentiate malignant from benign well-circumscribed breast lesions. Therefore, breast MR imaging can play a substantial role in distinguishing between well-circumscribed benign and malignant breast lesions, especially in cases that are difficult to diagnose by using conventional imaging. In this article, the MR imaging findings of the subtypes of well-circumscribed malignant breast lesions-intracystic papillary carcinoma, invasive papillary carcinoma, mucinous carcinoma, medullary carcinoma, metaplastic carcinoma, and malignant phyllodes tumor-are described and correlated with the histopathologic, mammographic, and US findings. (C) RSNA, 2010 . radiographics.rsna.org
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