Literature DB >> 16177416

Potential MRI interpretation model: differentiation of benign from malignant breast masses.

Ansgar Malich1, Dorothee R Fischer, Susanne Wurdinger, Joachim Boettcher, Christiane Marx, Mirjam Facius, Werner A Kaiser.   

Abstract

OBJECTIVE: Our objective was to increase the accuracy of breast MRI using a semiquantitative analysis of typical MRI features and their diagnostic potential. The prevalence of recently reported MRI signs of breast lesions were analyzed and compared with other well-known signs.
CONCLUSION: New MRI features, especially from T2-weighted images, are promising for more reliable and accurate interpretation of breast lesions. Prospective studies of these findings are required to define cut-off values and test clinical practicality.

Entities:  

Mesh:

Year:  2005        PMID: 16177416     DOI: 10.2214/AJR.04.1073

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  33 in total

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

Authors:  Pascal A T Baltzer; Anja Schäfer; Matthias Dietzel; David Grässel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-07-29       Impact factor: 5.315

2.  Kinetic analysis of lesions without mass effect on breast MRI using manual and computer-assisted methods.

Authors:  Tibor Vag; Pascal A T Baltzer; Matthias Dietzel; Ramy Zoubi; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-11-10       Impact factor: 5.315

3.  Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.

Authors:  Neha Bhooshan; Maryellen Giger; Milica Medved; Hui Li; Abbie Wood; Yading Yuan; Li Lan; Angelica Marquez; Greg Karczmar; Gillian Newstead
Journal:  J Magn Reson Imaging       Date:  2013-09-10       Impact factor: 4.813

4.  Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques.

Authors:  P A T Baltzer; D M Renz; K-H Herrmann; M Dietzel; I Krumbein; M Gajda; O Camara; J R Reichenbach; W A Kaiser
Journal:  Eur Radiol       Date:  2009-03-14       Impact factor: 5.315

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

6.  A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography.

Authors:  Pascal A T Baltzer; Matthias Dietzel; Werner A Kaiser
Journal:  Eur Radiol       Date:  2013-04-12       Impact factor: 5.315

7.  Morphologic blooming in breast MRI as a characterization of margin for discriminating benign from malignant lesions.

Authors:  Alan Penn; Scott Thompson; Rachel Brem; Constance Lehman; Paul Weatherall; Mitchell Schnall; Gillian Newstead; Emily Conant; Susan Ascher; Elizabeth Morris; Etta Pisano
Journal:  Acad Radiol       Date:  2006-11       Impact factor: 3.173

8.  Fischer's score criteria correlating with histopathological prognostic factors in invasive breast cancer.

Authors:  V Girardi; G Carbognin; L Camera; M Tonegutti; F Bonetti; E Manfrin; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2009-09-22       Impact factor: 3.469

9.  The adjacent vessel sign on breast MRI: new data and a subgroup analysis for 1,084 histologically verified cases.

Authors:  Matthias Dietzel; Pascal A T Baltzer; Tibor Vag; Aimee Herzog; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Korean J Radiol       Date:  2010-02-22       Impact factor: 3.500

10.  3D T2-weighted spin echo imaging in the breast.

Authors:  Catherine J Moran; Brian A Hargreaves; Manojkumar Saranathan; Jafi A Lipson; Jennifer Kao; Debra M Ikeda; Bruce L Daniel
Journal:  J Magn Reson Imaging       Date:  2013-04-17       Impact factor: 4.813

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