Literature DB >> 21129637

Diffusion magnetic resonance imaging of the breast.

Fernanda Philadelpho Arantes Pereira1, Gabriela Martins, Raquel de Vasconcellos Carvalhaes de Oliveira.   

Abstract

Several studies have investigated the role of advanced magnetic resonance imaging (MRI) techniques, such as diffusion-weighted imaging (DWI), to improve the specificity of MRI for the evaluation of breast lesions. Potential roles for DWI and the apparent diffusion coefficient in characterizing breast tumors and distinguishing malignant from benign tissues have been reported. This article discusses the clinical applications of breast DWI, including literature results, technical issues and limitations, and the potential applications. The analysis of DWI at our institution is also discussed. The establishment of standard DWI protocols and diagnostic criteria is necessary to ensure accuracy and reproducibility at different centers.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21129637     DOI: 10.1016/j.mric.2010.09.001

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  18 in total

1.  Fat suppression techniques (STIR vs. SPAIR) on diffusion-weighted imaging of breast lesions at 3.0 T: preliminary experience.

Authors:  Sofia Brandão; Luísa Nogueira; Eduarda Matos; Rita Gouveia Nunes; Hugo Alexandre Ferreira; Joana Loureiro; Isabel Ramos
Journal:  Radiol Med       Date:  2015-02-10       Impact factor: 3.469

2.  Region of interest demarcation for quantification of the apparent diffusion coefficient in breast lesions and its interobserver variability.

Authors:  Luísa Nogueira; Sofia Brandão; Eduarda Matos; Rita Gouveia Nunes; Hugo Alexandre Ferreira; Joana Loureiro; Isabel Ramos
Journal:  Diagn Interv Radiol       Date:  2015 Mar-Apr       Impact factor: 2.630

3.  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

4.  [Molecular breast imaging. An update].

Authors:  K Pinker; T H Helbich; H Magometschnigg; B Fueger; P Baltzer
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

5.  Application of the diffusion kurtosis model for the study of breast lesions.

Authors:  Luísa Nogueira; Sofia Brandão; Eduarda Matos; Rita Gouveia Nunes; Joana Loureiro; Isabel Ramos; Hugo Alexandre Ferreira
Journal:  Eur Radiol       Date:  2014-03-22       Impact factor: 5.315

6.  Diffusion-weighted imaging: determination of the best pair of b-values to discriminate breast lesions.

Authors:  L Nogueira; S Brandão; E Matos; R G Nunes; J Loureiro; H A Ferreira; I Ramos
Journal:  Br J Radiol       Date:  2014-05-16       Impact factor: 3.039

7.  Diffusion-weighted magnetic resonance imaging of breast lesions: the influence of different fat-suppression techniques on quantitative measurements and their reproducibility.

Authors:  P Mürtz; M Tsesarskiy; A Kowal; F Träber; J Gieseke; W A Willinek; C C Leutner; A Schmiedel; H H Schild
Journal:  Eur Radiol       Date:  2014-06-05       Impact factor: 5.315

8.  Short tau inversion recovery in breast diffusion-weighted imaging: signal-to-noise ratio and apparent diffusion coefficients using a breast phantom in comparison with spectral attenuated inversion recovery.

Authors:  Tsukasa Yoshida; Atsushi Urikura; Kensei Shirata; Yoshihiro Nakaya; Masahiro Endo; Shingo Terashima; Yoichiro Hosokawa
Journal:  Radiol Med       Date:  2017-12-11       Impact factor: 3.469

9.  Feasibility and Diagnostic Performance of Voxelwise Computed Diffusion-Weighted Imaging in Breast Cancer.

Authors:  Jiejie Zhou; Endong Chen; Huazhi Xu; Qiong Ye; Jiance Li; Shuxin Ye; Qinyuan Cheng; Liang Zhao; Min-Ying Su; Meihao Wang
Journal:  J Magn Reson Imaging       Date:  2018-10-16       Impact factor: 4.813

Review 10.  Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications.

Authors:  Savannah C Partridge; Elizabeth S McDonald
Journal:  Magn Reson Imaging Clin N Am       Date:  2013-06-10       Impact factor: 2.266

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.