Literature DB >> 17683886

A wide variety of dynamic contrast-enhanced MR appearances of breast cancer: pathologic correlation study.

Masayuki Onishi1, Akira Furukawa, Masashi Takahashi, Kiyoshi Murata.   

Abstract

PURPOSE: The aim of this study was to elucidate the characteristic magnetic resonance (MR) appearance of breast cancers, as well as, its variations and to investigate the pathology providing different patterns of dynamic-MR appearances.
MATERIALS AND METHODS: Fifty-two women with cancer underwent mastectomy (52 tumors resected) and had MR imaging at our institution between April 2001 and March 2004. MR images of T1WI, T2WI, dynamic-MRI and contrast-enhanced T1WI were obtained and evaluated. Dynamic-MR images were correlated with pathological findings.
RESULTS: Common MR appearance of breast cancer was a focal mass either with irregular or spiculated margins with similar signal intensity on T1WI as and similar to higher signal intensity on T2WI compared to the normal mammary gland. On static contrast-enhanced T1WI, apparent enhancement was typically observed. On dynamic MRI, tumor-rim-enhancement on an early phase image and washout enhancement pattern on dynamic images, both characteristic for breast cancer, were observed, however, the prevalence of them was relatively low, which could be explained by the variation of histopathology among breast cancer nodules.
CONCLUSION: In diagnosing breast masses on MRI, as well as the common and characteristic findings of breast cancer, the variations of MR findings and their underlying histopathology should also be considered.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17683886     DOI: 10.1016/j.ejrad.2007.04.003

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

1.  MRI kinetics with volumetric analysis in correlation with hormonal receptor subtypes and histologic grade of invasive breast cancers.

Authors:  Lester Chee Hao Leong; Eva C Gombos; Jayender Jagadeesan; Stephanie Man Chung Fook-Chong
Journal:  AJR Am J Roentgenol       Date:  2015-03       Impact factor: 3.959

2.  Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon.

Authors:  Garima Agrawal; Min-Ying Su; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.