Literature DB >> 20668860

Diffusion tensor magnetic resonance imaging of the breast: a pilot study.

Pascal A T Baltzer1, Anja Schäfer, Matthias Dietzel, David Grässel, Mieczyslaw Gajda, Oumar Camara, Werner A Kaiser.   

Abstract

OBJECTIVES: Diffusion-weighted MR imaging has shown diagnostic value for differential diagnosis of breast lesions. Diffusion tensor imaging (DTI) adds information about tissue microstructure by addressing diffusion direction. We have examined the diagnostic application of DTI of the breast.
METHODS: A total of 59 patients (71 lesions: 54 malignant, 17 benign) successfully underwent prospective echo planar imaging-DTI (EPI-DTI) (1.5 T). First, diffusion direction both of parenchyma as well as lesions was assessed on parametric maps. Subsequently, apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values were measured. Statistics included univariate (Mann-Whitney U test, receiver operating analysis) and multivariate (logistic regression analysis, LRA) tests.
RESULTS: Main diffusion direction of parenchyma was anterior-posterior in the majority of cases (66.1%), whereas lesions (benign, malignant) showed no predominant diffusion direction in the majority of cases (23.9%). ADC values showed highest differences between benign and malignant lesions (P<0.001) with resulting area under the curve (AUC) of 0.899. FA values were lower in benign (interquartile range, IR, 0.14-0.24) compared to malignant lesions (IR 0.21-0.35, P<0.002) with an AUC of 0.751-0.770. Following LRA, FA did not prove to have incremental value for differential diagnosis over ADC values.
CONCLUSIONS: Microanatomical differences between benign and malignant breast lesions as well as breast parenchyma can be visualized by using DTI.

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Year:  2010        PMID: 20668860     DOI: 10.1007/s00330-010-1901-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  32 in total

1.  Quantitative diffusion imaging in breast cancer: a clinical prospective study.

Authors:  Erika Rubesova; Anne-Sophie Grell; Viviane De Maertelaer; Thierry Metens; Shih-Li Chao; Marc Lemort
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Review 2.  Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond.

Authors:  Patric Hagmann; Lisa Jonasson; Philippe Maeder; Jean-Philippe Thiran; Van J Wedeen; Reto Meuli
Journal:  Radiographics       Date:  2006-10       Impact factor: 5.333

3.  Meta-analysis of MR imaging in the diagnosis of breast lesions.

Authors:  Nicky H G M Peters; Inne H M Borel Rinkes; Nicolaas P A Zuithoff; Willem P T M Mali; Karel G M Moons; Petra H M Peeters
Journal:  Radiology       Date:  2007-11-16       Impact factor: 11.105

Review 4.  Proton MRS of the breast in the clinical setting.

Authors:  Carolyn Mountford; Saadallah Ramadan; Peter Stanwell; Peter Malycha
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

5.  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

Review 6.  Diffusion-weighted magnetic resonance imaging and its application to cancer.

Authors:  Elizabeth M Charles-Edwards; Nandita M deSouza
Journal:  Cancer Imaging       Date:  2006-09-13       Impact factor: 3.909

Review 7.  Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer.

Authors:  Ellen Warner; Hans Messersmith; Petrina Causer; Andrea Eisen; Rene Shumak; Donald Plewes
Journal:  Ann Intern Med       Date:  2008-05-06       Impact factor: 25.391

8.  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

9.  Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model.

Authors:  P S Tofts; B Berkowitz; M D Schnall
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10.  Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion.

Authors:  C Marini; C Iacconi; M Giannelli; A Cilotti; M Moretti; C Bartolozzi
Journal:  Eur Radiol       Date:  2007-03-14       Impact factor: 7.034

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  37 in total

1.  Quantitative breast MRI: 2D histogram analysis of diffusion tensor parameters in normal tissue.

Authors:  Julia Wiederer; Shila Pazahr; Cornelia Leo; Daniel Nanz; Andreas Boss
Journal:  MAGMA       Date:  2013-09-03       Impact factor: 2.310

2.  Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Raphael Richard; Isabelle Thomassin; Marion Chapellier; Aurélie Scemama; Patricia de Cremoux; Mariana Varna; Sylvie Giacchetti; Marc Espié; Eric de Kerviler; Cedric de Bazelaire
Journal:  Eur Radiol       Date:  2013-05-08       Impact factor: 5.315

3.  Diffusion-tensor imaging as an adjunct to dynamic contrast-enhanced MRI for improved accuracy of differential diagnosis between breast ductal carcinoma in situ and invasive breast carcinoma.

Authors:  Yuan Wang; Xiaopeng Zhang; Kun Cao; Yanling Li; Xiaoting Li; Liping Qi; Lei Tang; Zhilong Wang; Shunyu Gao
Journal:  Chin J Cancer Res       Date:  2015-04       Impact factor: 5.087

Review 4.  The Efficiency of Diffusion Weighted MRI and MR Spectroscopy On Breast MR Imaging.

Authors:  Canan Altay; Pınar Balcı
Journal:  J Breast Health       Date:  2014-10-01

Review 5.  Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis.

Authors:  Monique D Dorrius; Hildebrand Dijkstra; Matthijs Oudkerk; Paul E Sijens
Journal:  Eur Radiol       Date:  2014-08-09       Impact factor: 5.315

6.  Monitoring In-Vivo the Mammary Gland Microstructure during Morphogenesis from Lactation to Post-Weaning Using Diffusion Tensor MRI.

Authors:  Noam Nissan; Edna Furman-Haran; Myra Shapiro-Feinberg; Dov Grobgeld; Hadassa Degani
Journal:  J Mammary Gland Biol Neoplasia       Date:  2017-07-13       Impact factor: 2.673

7.  Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.

Authors:  Hubert Bickel; Katja Pinker; Stephan Polanec; Heinrich Magometschnigg; Georg Wengert; Claudio Spick; Wolfgang Bogner; Zsuzsanna Bago-Horvath; Thomas H Helbich; Pascal Baltzer
Journal:  Eur Radiol       Date:  2016-08-30       Impact factor: 5.315

Review 8.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

Review 9.  Multiparametric MR Imaging of Breast Cancer.

Authors:  Habib Rahbar; Savannah C Partridge
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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

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