Literature DB >> 24856515

Differentiation between benign phyllodes tumors and fibroadenomas of the breast on MR imaging.

Takeshi Kamitani1, Yoshio Matsuo2, Hidetake Yabuuchi3, Nobuhiro Fujita4, Michinobu Nagao5, Satoshi Kawanami6, Masato Yonezawa7, Yuzo Yamasaki8, Eriko Tokunaga9, Makoto Kubo10, Hidetaka Yamamoto11, Hiroshi Honda12.   

Abstract

PURPOSE: The purpose of this study was to determine the factors that contribute to the differentiation between phyllodes tumors (PTs) and fibroadenomas (FAs) on MR imaging.
MATERIALS AND METHODS: This retrospective study included 19 PTs and 18 FAs with ≥ 2 cm diameter. The presence or absence of a capsule and internal septum, the extent of lobulation, and the apparent diffusion coefficient (ADC) values were determined. The presence or absence of a cystic component, the time-intensity curve, and the signal intensity on delayed-phase contrast-enhanced T1WI were also evaluated in 31 patients (16 PTs and 17 FAs) who underwent a contrast-enhanced study.
RESULTS: Cystic components were seen in 10 of the 16 PTs (63%) and in 4 of the 17 FAs (24%; P=0.03). The PTs showed strong lobulation more frequently compared to the FAs (14/19 [74%] vs. 7/18 [39%], respectively; P=0.04). Though there was no significant difference, PT tended to be heterogeneous more frequently on the delayed phase of the contrast-enhanced T1WI compared to the FA (11/16 [69%] vs. 7/17 [41%], respectively). No significant difference was found in the other findings.
CONCLUSIONS: Although PTs and FAs show similar MR findings, the presence of a cystic component, strong lobulation, and heterogeneity on delayed-phase contrast-enhanced T1WI suggests a PT.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Breast; Fibroadenoma; MRI; Phyllodes tumor

Mesh:

Substances:

Year:  2014        PMID: 24856515     DOI: 10.1016/j.ejrad.2014.04.031

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


  12 in total

1.  Differentiation between phyllodes tumours and fibroadenomas using intravoxel incoherent motion magnetic resonance imaging: comparison with conventional diffusion-weighted imaging.

Authors:  Hiroko Kawashima; Tosiaki Miyati; Naoki Ohno; Masako Ohno; Masafumi Inokuchi; Hiroko Ikeda; Toshifumi Gabata
Journal:  Br J Radiol       Date:  2018-01-31       Impact factor: 3.039

2.  Aggressive Metaplastic Carcinoma of the Breast with Osteoclastic Giant Cells.

Authors:  Kathleen Khong; Yanhong Zhang; Mary Tomic; Karen Lindfors; Shadi Aminololama-Shakeri
Journal:  J Radiol Case Rep       Date:  2015-09-30

3.  The value of whole-tumor histogram and texture analysis based on apparent diffusion coefficient (ADC) maps for the discrimination of breast fibroepithelial lesions: corresponds to clinical management decisions.

Authors:  Xue Li; Weimin Chai; Kun Sun; Caixia Fu; Fuhua Yan
Journal:  Jpn J Radiol       Date:  2022-07-06       Impact factor: 2.374

4.  MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas.

Authors:  Mitsuteru Tsuchiya; Takayuki Masui; Kazuma Terauchi; Takahiro Yamada; Motoyuki Katyayama; Shintaro Ichikawa; Yoshifumi Noda; Satoshi Goshima
Journal:  Eur Radiol       Date:  2022-01-19       Impact factor: 5.315

5.  Giant phyllodes tumor of the breast with diffuse myxoid changes in an adolescent girl: a case report.

Authors:  Ji Young Lee
Journal:  J Surg Case Rep       Date:  2017-02-09

6.  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

7.  Value of Conventional MRI Texture Analysis in the Differential Diagnosis of Phyllodes Tumors and Fibroadenomas of the Breast.

Authors:  Nianping Jiang; Li Zhong; Chunlai Zhang; Xiangguo Luo; Peng Zhong; Xiaoguang Li
Journal:  Breast Care (Basel)       Date:  2020-06-23       Impact factor: 2.860

8.  Predicting the pathological grade of breast phyllodes tumors: a nomogram based on clinical and magnetic resonance imaging features.

Authors:  Xiaowen Ma; Lijuan Shen; Feixiang Hu; Wei Tang; Yajia Gu; Weijun Peng
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

9.  Large Malignant Phyllodes Tumor of the Breast with Metastases to the Lungs.

Authors:  Alexander Augustyn; Sunati Sahoo; Rachel D Wooldridge
Journal:  Rare Tumors       Date:  2015-05-18

10.  Enormous, rapidly growing breast mass.

Authors:  Vivek Verma; Sanjay Muttineni; Rajesh R Kulkarni; Edibaldo Silva-Lopez; William W West; Robert B Thompson
Journal:  BMC Cancer       Date:  2015-12-24       Impact factor: 4.430

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