Literature DB >> 30003283

Diffusion-weighted breast imaging.

K Deike-Hofmann1, T Kuder2, F König3, D Paech3, C Dreher3, S Delorme3, H-P Schlemmer3, S Bickelhaupt3.   

Abstract

Magnetic resonance imaging (MRI) of the breast represents one of the most sensitive imaging modalities in breast cancer detection. Diffusion-weighted imaging (DWI) is a sequence variation introduced as a complementary MRI technique that relies on mapping the diffusion process of water molecules thereby providing additional information about the underlying tissue. Since water diffusion is more restricted in most malignant tumors than in benign ones owing to the higher cellularity of the rapidly proliferating neoplasia, DWI has the potential to contribute to the identification and characterization of suspicious breast lesions. Thus, DWI might increase the diagnostic accuracy of breast MRI and its clinical value. Future applications including optimized DWI sequences, technical developments in MR devices, and the application of radiomics/artificial intelligence algorithms may expand the potential of DWI in breast imaging beyond its current supplementary role.

Entities:  

Keywords:  Breast neoplasms; Classification; Diagnostic imaging; Diffusion magnetic resonance imaging; Image interpretation, computer-assisted

Mesh:

Year:  2018        PMID: 30003283     DOI: 10.1007/s00117-018-0423-3

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  42 in total

1.  Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Authors:  Savannah C Partridge; Wendy B DeMartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2009-12       Impact factor: 3.959

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.  Gadolinium retention in the dentate nucleus and globus pallidus is dependent on the class of contrast agent.

Authors:  Alexander Radbruch; Lukas D Weberling; Pascal J Kieslich; Oliver Eidel; Sina Burth; Philipp Kickingereder; Sabine Heiland; Wolfgang Wick; Heinz-Peter Schlemmer; Martin Bendszus
Journal:  Radiology       Date:  2015-04-06       Impact factor: 11.105

4.  Unenhanced breast MRI (STIR, T2-weighted TSE, DWIBS): An accurate and alternative strategy for detecting and differentiating breast lesions.

Authors:  Michele Telegrafo; Leonarda Rella; Amato Antonio Stabile Ianora; Giuseppe Angelelli; Marco Moschetta
Journal:  Magn Reson Imaging       Date:  2015-06-25       Impact factor: 2.546

5.  Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance.

Authors:  Luisa Nogueira; Sofia Brandão; Rita G Nunes; Hugo Alexandre Ferreira; Joana Loureiro; Isabel Ramos
Journal:  Clin Radiol       Date:  2014-12-30       Impact factor: 2.350

Review 6.  The global cancer burden and human development: A review.

Authors:  Miranda M Fidler; Freddie Bray; Isabelle Soerjomataram
Journal:  Scand J Public Health       Date:  2017-07-01       Impact factor: 3.021

7.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

8.  Unenhanced breast magnetic resonance imaging: detection of breast cancer.

Authors:  P Belli; E Bufi; A Bonatesta; F Patrolecco; F Padovano; M Giuliani; P Rinaldi; L Bonomo
Journal:  Eur Rev Med Pharmacol Sci       Date:  2016-10       Impact factor: 3.507

9.  Detecting breast cancer with non-contrast MR imaging: combining diffusion-weighted and STIR imaging.

Authors:  Seiko Kuroki-Suzuki; Yoshifumi Kuroki; Katsuhiro Nasu; Shigeru Nawano; Noriyuki Moriyama; Masatoshi Okazaki
Journal:  Magn Reson Med Sci       Date:  2007       Impact factor: 2.471

10.  Correlation between apparent diffusion coefficient (ADC) and cellularity is different in several tumors: a meta-analysis.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Oncotarget       Date:  2017-05-10
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  2 in total

1.  Clinical-radiomics nomogram for identifying HER2 status in patients with breast cancer: A multicenter study.

Authors:  Caiyun Fang; Juntao Zhang; Jizhen Li; Hui Shang; Kejian Li; Tianyu Jiao; Di Yin; Fuyan Li; Yi Cui; Qingshi Zeng
Journal:  Front Oncol       Date:  2022-09-07       Impact factor: 5.738

2.  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
  2 in total

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