Literature DB >> 18491206

Advances in breast MRI: diffusion-weighted imaging of the breast.

Yoshifumi Kuroki1, Katsuhiro Nasu.   

Abstract

DWI, which is less affected by the state of the background mammary gland, has sufficient capability to diagnose invasive, noninvasive, and invasive lobular carcinoma. DWI is different from conventional methods based on blood flow data and has the potential to provide useful information for the evaluation of NAC, which is considered to be insufficient at present. Having the ability to provide steady, high-resolution tissue images, DWI is expected to play an important role in future breast cancer diagnosis. DWI, however, is not a complete method of diagnosis. Limits exist in spatial resolution and problems with ADC. In consideration of these shortcomings, we need to apply DWI to clinical practice while taking advantage of its high contrast resolution.

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Year:  2008        PMID: 18491206     DOI: 10.1007/s12282-008-0050-3

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  11 in total

1.  The role of magnetic resonance imaging in oncology.

Authors:  Concepción González Hernando; Laura Esteban; Teresa Cañas; Enrique Van den Brule; Miguel Pastrana
Journal:  Clin Transl Oncol       Date:  2010-09       Impact factor: 3.405

2.  Sensitivity and specificity of unenhanced MR mammography (DWI combined with T2-weighted TSE imaging, ueMRM) for the differentiation of mass lesions.

Authors:  Pascal A T Baltzer; Matthias Benndorf; Matthias Dietzel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2009-11-20       Impact factor: 5.315

3.  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

4.  Correlation between electrical conductivity and apparent diffusion coefficient in breast cancer: effect of necrosis on magnetic resonance imaging.

Authors:  Soo-Yeon Kim; Jaewook Shin; Dong-Hyun Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Jai Kyung You; Min Jung Kim
Journal:  Eur Radiol       Date:  2018-03-06       Impact factor: 5.315

5.  Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Authors:  Paolo Belli; Melania Costantini; Enida Bufi; Giuseppe Giovanni Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo
Journal:  Radiol Med       Date:  2014-08-06       Impact factor: 3.469

Review 6.  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

7.  MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies.

Authors:  Claudio Spick; Katja Pinker-Domenig; Margaretha Rudas; Thomas H Helbich; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2014-04-05       Impact factor: 5.315

8.  Diagnostic Performance of Diffusion Tensor Imaging with Readout-segmented Echo-planar Imaging for Invasive Breast Cancer: Correlation of ADC and FA with Pathological Prognostic Markers.

Authors:  Ken Yamaguchi; Takahiko Nakazono; Ryoko Egashira; Yoshiaki Komori; Jun Nakamura; Tomoyuki Noguchi; Hiroyuki Irie
Journal:  Magn Reson Med Sci       Date:  2016-11-16       Impact factor: 2.471

9.  Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.

Authors:  Lars Bielak; Nicole Wiedenmann; Arnie Berlin; Nils Henrik Nicolay; Deepa Darshini Gunashekar; Leonard Hägele; Thomas Lottner; Anca-Ligia Grosu; Michael Bock
Journal:  Radiat Oncol       Date:  2020-07-29       Impact factor: 3.481

10.  Apparent diffusion coefficient values in borderline breast lesions upgraded and not upgraded at definitive histopathological examination after surgical excision.

Authors:  Corrado Tagliati; Paola Piccinni; Paola Ercolani; Elisabetta Marconi; Barbara Franca Simonetti; Gian Marco Giuseppetti; Andrea Giovagnoni
Journal:  Pol J Radiol       Date:  2021-04-30
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