Literature DB >> 15973135

Magnetic resonance imaging characteristics of fibrocystic change of the breast.

Maurice A A J van den Bosch1, Bruce L Daniel, Michelle N Mariano, Kent N Nowels, Robyn L Birdwell, Kathy J Fong, Pam S Desmond, Sylvia Plevritis, Lara A Stables, Marowan Zakhour, Robert J Herfkens, Debra M Ikeda.   

Abstract

OBJECTIVE: The objective of this study was to identify magnetic resonance imaging (MRI) characteristics of fibrocystic change (FCC) of the breast.
MATERIALS AND METHODS: Fourteen patients with a histopathologic diagnosis of solitary FCC of the breast underwent x-ray mammography and MRI of the breast. Three experienced breast imaging radiologists retrospectively reviewed the MRI findings and categorized the lesions on morphologic and kinetic criteria according to the ACR BI-RADS-MRI Lexicon.
RESULTS: The most striking morphologic feature of fibrocystic change was nonmass-like regional enhancement found in 6 of 14 (43%) FCC lesions. Based on morphologic criteria alone, 12 of 14 (86%) lesions were correctly classified as benign. According to analysis of the time-intensity curves, 10 of 14 (71%) FCC lesions were correctly classified as benign.
CONCLUSION: Although FCC has a wide spectrum of morphologic and kinetic features on MRI, it most often presents as a mass or a nonmass-like regional enhancing lesion with benign enhancement kinetics.

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Year:  2005        PMID: 15973135     DOI: 10.1097/01.rli.0000167123.26334.c8

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  10 in total

1.  Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Authors:  Thomas Schlossbauer; Gerda Leinsinger; Axel Wismuller; Oliver Lange; Michael Scherr; Anke Meyer-Baese; Maximilian Reiser
Journal:  Invest Radiol       Date:  2008-01       Impact factor: 6.016

2.  Fibrocystic change of the breast presenting as a focal lesion mimicking breast cancer in MR imaging.

Authors:  Jeon-Hor Chen; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

3.  DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Maryellen Giger; Gillian M Newstead
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

4.  Estrogen receptor and breast MR imaging features: a correlation study.

Authors:  Jeon-Hor Chen; Hyeon-Man Baek; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

5.  Magnetic resonance imaging features of fibrocystic change of the breast.

Authors:  Jeon-Hor Chen; Hui Liu; Hyeon-Man Baek; Orhan Nalcioglu; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2008-04-23       Impact factor: 2.546

6.  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

7.  Enhanced MRI and MRI-guided interventional procedures in women with asymptomatic silicone-injected breasts.

Authors:  Yun-Chung Cheung; Shin-Chih Chen; Yung-Feng Lo
Journal:  ScientificWorldJournal       Date:  2012-03-12

8.  Breast Dynamic Contrast Enhanced MRI: Fibrocystic Changes Presenting as a Non-mass Enhancement Mimicking Malignancy.

Authors:  Zorica C Milosevic; Mirjan M Nadrljanski; Zorka M Milovanovic; Nina Z Gusic; Slavko S Vucicevic; Olga S Radulovic
Journal:  Radiol Oncol       Date:  2017-05-07       Impact factor: 2.991

9.  Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.

Authors:  Dustin Newell; Ke Nie; Jeon-Hor Chen; Chieh-Chih Hsu; Hon J Yu; Orhan Nalcioglu; Min-Ying Su
Journal:  Eur Radiol       Date:  2009-09-30       Impact factor: 5.315

10.  The Value of Lesion Size as an Adjunct to the BI-RADS-MRI 2013 Descriptors in the Diagnosis of Solitary Breast Masses.

Authors:  Makiko Kawai; Masako Kataoka; Shotaro Kanao; Mami Iima; Natsuko Onishi; Akane Ohashi; Rena Sakaguchi; Masakazu Toi; Kaori Togashi
Journal:  Magn Reson Med Sci       Date:  2017-12-07       Impact factor: 2.471

  10 in total

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