Literature DB >> 9205233

Fibroadenomas: MR imaging appearances with radiologic-histopathologic correlation.

M G Hochman1, S G Orel, C M Powell, M D Schnall, C A Reynolds, L N White.   

Abstract

PURPOSE: To identify histopathologic correlates for the varied magnetic resonance (MR) imaging appearances of fibroadenomas.
MATERIALS AND METHODS: Twenty-three fibroadenomas in 21 patients (aged 23-66 years) examined with gadolinium-enhanced MR imaging were graded for signal intensity on T2-weighted images, contrast material enhancement, shape, and internal septations and were correlated with histopathologic findings.
RESULTS: Fibroadenomas demonstrated high T2 signal intensity with enhancement (n = 11), low T2 signal intensity with enhancement (n = 3), or low T2 signal intensity without enhancement (n = 9). Low T2 signal intensity and lack of enhancement were associated with more sclerotic stroma and older patient age. Lesion shape was lobular, oval, or round in 19 of 23 fibroadenomas (83%). Internal septations were identified within nine of 14 enhancing fibroadenomas (64%) and appeared to correlate with collagenous bands at histopathologic analysis.
CONCLUSION: Fibroadenomas demonstrate marked histopathologic variability. The resultant variability in the MR appearance limits the ability to distinguish between benign and malignant masses on the basis of signal intensity and enhancement alone. Lobulation and internal septation, which appear to reflect intrinsic growth patterns of fibroadenomas, may provide a more reliable basis for distinction.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9205233     DOI: 10.1148/radiology.204.1.9205233

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

1.  The features of breast lymphoma on MRI.

Authors:  K Liu; P Xie; W Peng; Z Zhou
Journal:  Br J Radiol       Date:  2013-09-12       Impact factor: 3.039

2.  Accuracy of diffusion kurtosis imaging in characterization of breast lesions.

Authors:  Alexandra Christou; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Haralambos Bougias
Journal:  Br J Radiol       Date:  2017-04-06       Impact factor: 3.039

3.  Differentiation between Phyllodes Tumors and Fibroadenomas Based on Mammographic Sonographic and MRI Features.

Authors:  Lale Duman; Naciye S Gezer; Pınar Balcı; Canan Altay; Işıl Başara; Merih G Durak; Ali I Sevinç
Journal:  Breast Care (Basel)       Date:  2016-03-23       Impact factor: 2.860

4.  [Breast cancer. Sonography and magnetic resonance mammography].

Authors:  S Delorme
Journal:  Radiologe       Date:  2004-06       Impact factor: 0.635

5.  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

6.  Characterization of breast tumors using diffusion kurtosis imaging (DKI).

Authors:  Dongmei Wu; Guanwu Li; Junxiang Zhang; Shixing Chang; Jiani Hu; Yongming Dai
Journal:  PLoS One       Date:  2014-11-18       Impact factor: 3.240

7.  Differentiation between Pure Mucinous Breast Carcinomas and Fibroadenomas with Strong High-Signal Intensity on T2-Weighted Images from Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Ning Qu; Yahong Luo; Tao Yu; Huihui Yu
Journal:  Breast Care (Basel)       Date:  2017-12-13       Impact factor: 2.860

8.  Juvenile fibroadenoma.

Authors:  Décio Roveda Júnior; Gustavo Machado Badan; Mário Sérgio Dantas do Amaral Campos; Bianca Maragno; Laís Bastos Pessanha
Journal:  Radiol Bras       Date:  2018 Mar-Apr

9.  Magnetic resonance imaging of fibroadenoma-like lesions and correlation with Breast Imaging-Reporting and Data System and Kaiser scoring system.

Authors:  Daniel J Cloete; Cornelia Minne; Peter K Schoub; Jan H R Becker
Journal:  SA J Radiol       Date:  2018-11-07
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.