Literature DB >> 11026854

MRI of the breast.

S C Rankin1.   

Abstract

MRI of the breast is rapidly evolving as a sensitive technique for the detection and staging of breast cancer. It has considerable benefits but is time consuming and expensive. The benefits and limitations of this technique are presented.

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Year:  2000        PMID: 11026854     DOI: 10.1259/bjr.73.872.11026854

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  18 in total

1.  Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis.

Authors:  A Karahaliou; K Vassiou; N S Arikidis; S Skiadopoulos; T Kanavou; L Costaridou
Journal:  Br J Radiol       Date:  2010-04       Impact factor: 3.039

2.  Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.

Authors:  Xiaobing Fan; Milica Medved; Gregory S Karczmar; Cheng Yang; Sean Foxley; Sanaz Arkani; Wendy Recant; Marta A Zamora; Hiroyuki Abe; Gillian M Newstead
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

3.  Breast imaging in the young: the role of magnetic resonance imaging in breast cancer screening, diagnosis and follow-up.

Authors:  Dorria Saleh Salem; Rasha Mohamed Kamal; Sahar Mahmoud Mansour; Lamiaa Adel Salah; Rasha Wessam
Journal:  J Thorac Dis       Date:  2013-06       Impact factor: 2.895

4.  Accuracy of diffusion kurtosis imaging in characterization of breast lesions.

Authors:  Alexandra Christou; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Haralambos Bougias
Journal:  Br J Radiol       Date:  2017-04-06       Impact factor: 3.039

5.  The Role of MR Mammography in Differentiating Benign from Malignant in Suspicious Breast Masses.

Authors:  Padhmini Balasubramanian; Vijaya Karthikeyan Murugesan; Vinoth Boopathy
Journal:  J Clin Diagn Res       Date:  2016-09-01

6.  A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinations.

Authors:  Qian Yang; Lihua Li; Juan Zhang; Guoliang Shao; Bin Zheng
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

7.  Diagnostic Value of Diffusion-weighted Imaging and Apparent Diffusion Coefficient Values in the Differentiation of Breast Lesions, Histpathologic Subgroups and Correlatıon with Prognostıc Factors using 3.0 Tesla MR.

Authors:  Yasin Akın; M Ümit Uğurlu; Handan Kaya; Erkin Arıbal
Journal:  J Breast Health       Date:  2016-07-01

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.  A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment.

Authors:  Qian Yang; Lihua Li; Juan Zhang; Guoliang Shao; Bin Zheng
Journal:  Eur J Radiol       Date:  2014-03-22       Impact factor: 3.528

10.  Rare breast neoplasms: is there any peculiar feature on magnetic resonance mammography?

Authors:  A Linda; V Londero; F Mazzarella; C Zuiani; M Bazzocchi
Journal:  Radiol Med       Date:  2007-09-20       Impact factor: 3.469

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