Literature DB >> 22658868

Diffusion-weighted MR imaging of the breast: advantages and pitfalls.

I Thomassin-Naggara1, C De Bazelaire, J Chopier, M Bazot, C Marsault, I Trop.   

Abstract

The aim of this paper is to review all clinical applications of diffusion weighted MR imaging (DWI) for breast pathology. The challenge of DWI is to obtain the best compromise between lesion detection and characterization. Technical factors affecting lesion characterization and detection are detailed including the effect of contrast administration, the choice of number of b and of b(max), the variation of diagnostic performance according to the type and the size of lesion studied.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22658868     DOI: 10.1016/j.ejrad.2012.03.002

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


  28 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.  Effects of magnetic field strength and b value on the sensitivity and specificity of quantitative breast diffusion-weighted MRI.

Authors:  Mohammad Eghtedari; Jingfei Ma; Patricia Fox; Inanc Guvenc; Wei T Yang; Basak E Dogan
Journal:  Quant Imaging Med Surg       Date:  2016-08

3.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

4.  [Diffusion-weighted breast imaging. Clinical implementation procedure].

Authors:  E Wenkel; M Uder; R Janka
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

5.  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

6.  Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.

Authors:  Yu Zhang; Yifeng Zhu; Kai Zhang; Yajie Liu; Jingjing Cui; Juan Tao; Yingzi Wang; Shaowu Wang
Journal:  Radiol Med       Date:  2019-11-06       Impact factor: 3.469

7.  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

8.  Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer.

Authors:  Vivian Youngjean Park; Sungheon G Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Min Jung Kim
Journal:  Magn Reson Imaging       Date:  2019-07-16       Impact factor: 2.546

9.  Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings.

Authors:  Sebastian Bickelhaupt; Jana Tesdorff; Frederik Bernd Laun; Tristan Anselm Kuder; Wolfgang Lederer; Susanne Teiner; Klaus Maier-Hein; Heidi Daniel; Anne Stieber; Stefan Delorme; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2016-05-18       Impact factor: 5.315

10.  Diffusion tensor imaging in the normal breast: influences of fibroglandular tissue composition and background parenchymal enhancement.

Authors:  Michael Jonathan Plaza; Elizabeth A Morris; Sunitha B Thakur
Journal:  Clin Imaging       Date:  2015-12-08       Impact factor: 1.605

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.