Literature DB >> 9135652

Patterns of peripheral enhancement in breast masses: correlation of findings on contrast medium enhanced MRI with histologic features and tumor angiogenesis.

L D Buadu1, J Murakami, S Murayama, N Hashiguchi, S Sakai, S Toyoshima, K Masuda, S Kuroki, S Ohno.   

Abstract

PURPOSE: Our goal was to review patterns of peripheral enhancement on contrast-enhanced MRI of the breast and to correlate radiologic findings with pathologic features.
METHOD: We reviewed the MR images of 124 consecutive women with breast lesions. Peripheral enhancement was identified in 35 (32 malignant, 3 benign) lesions. MRI findings were correlated with pathologic features including microvessel density and distribution determined histologically.
RESULTS: Early peripheral enhancement with centripetal progression was seen in invasive carcinomas with a high peripheral and a low central microvessel density, associated with fibrosis and/or necrosis (n = 18; 15 with central fibrosis, 2 with fibrosis and necrosis, and 1 with necrosis alone). Early peripheral enhancement with minimal or no change in enhancement was seen in both malignant (n = 10) and benign (n = 3) lesions. Delayed peripheral enhancement with centrifugal progression was seen in carcinomas that had an expansive growth pattern and a high marginal vessel density with or without a vascularized rim of connective tissue (n = 4).
CONCLUSION: Early peripheral enhancement with centripetal progression appears to be fairly specific for carcinomas, whereas early enhancement with minimal or no centripetal progression, although more common in malignant tumors, may be seen in some benign lesions as well.

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Year:  1997        PMID: 9135652     DOI: 10.1097/00004728-199705000-00016

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  9 in total

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Authors:  Takayoshi Uematsu; Masako Kasami; Brandi T Nicholson
Journal:  Jpn J Radiol       Date:  2011-09-29       Impact factor: 2.374

2.  Is the "blooming sign" a promising additional tool to determine malignancy in MR mammography?

Authors:  D R Fischer; P Baltzer; A Malich; S Wurdinger; M G Freesmeyer; C Marx; W A Kaiser
Journal:  Eur Radiol       Date:  2003-09-27       Impact factor: 5.315

3.  Fischer's score criteria correlating with histopathological prognostic factors in invasive breast cancer.

Authors:  V Girardi; G Carbognin; L Camera; M Tonegutti; F Bonetti; E Manfrin; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2009-09-22       Impact factor: 3.469

4.  Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer.

Authors:  Juan Huang; Jianqun Yu; Yulan Peng
Journal:  Oncol Lett       Date:  2016-04-07       Impact factor: 2.967

5.  BI-RADS 4 breast lesions: could multi-mode ultrasound be helpful for their diagnosis?

Authors:  Gang Liu; Meng-Ke Zhang; Yan He; Yuan Liu; Xi-Ru Li; Zhi-Li Wang
Journal:  Gland Surg       Date:  2019-06

6.  Application of Benchtop-magnetic resonance imaging in a nude mouse tumor model.

Authors:  Henrike Caysa; Hendrik Metz; Karsten Mäder; Thomas Mueller
Journal:  J Exp Clin Cancer Res       Date:  2011-07-21

7.  Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation.

Authors:  Stephanie L Barnes; Jennifer G Whisenant; Mary E Loveless; Thomas E Yankeelov
Journal:  Pharmaceutics       Date:  2012       Impact factor: 6.321

8.  Association of Different MRI BIRADS Descriptors With Malignancy in Non Mass-Like Breast Lesions.

Authors:  Masoumeh Gity; Koosha Ghazi Moghadam; Amir Hossein Jalali; Madjid Shakiba
Journal:  Iran Red Crescent Med J       Date:  2014-12-30       Impact factor: 0.611

9.  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

  9 in total

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