Literature DB >> 11105039

Magnetic resonance imaging of breast cancer: clinical indications and breast MRI reporting system.

D M Ikeda1, D R Baker, B L Daniel.   

Abstract

Magnetic resonance imaging (MRI) is well suited to the investigation of breast cancer by virtue of its noninvasive nature and its multiplanar imaging abilities. MRI investigations showed high sensitivity but modest specificity for breast cancer detection and diagnosis. Most early studies tested the ability of MRI to evaluate and diagnose findings in the breast discovered by other imaging tests or by breast physical examination (1-4). When it was discovered that MRI identified small breast cancers undetected by mammography or breast ultrasound, MRI was used to estimate breast cancer extent in known cancer cases for surgical planning (5,6). These investigations led to the use of MRI in a multitude of breast imaging applications, raising further questions about the use of MRI in everyday practice: What are the indications for breast MRI in general practice? What is its role in light of other imaging tests? What are its benefits and limitations in each setting? How do I report these studies? The purpose of this article is to review the clinical background regarding indications for the use of MRI and relevant cases in which MRI can impact patient management in breast disease, and to describe new developments in reporting breast MRI studies. J. Magn. Reson. Imaging 2000;12:975-983. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 11105039     DOI: 10.1002/1522-2586(200012)12:6<975::aid-jmri24>3.0.co;2-y

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  14 in total

1.  The added value of quantitative multi-voxel MR spectroscopy in breast magnetic resonance imaging.

Authors:  M D Dorrius; R M Pijnappel; M C van der Weide Jansen; L Jansen; P Kappert; M Oudkerk; P E Sijens
Journal:  Eur Radiol       Date:  2011-11-11       Impact factor: 5.315

2.  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

3.  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

4.  Retrospective study assessing the role of MRI in the diagnostic procedures for early breast carcinoma: a correlation of new foci in the MRI with tumor pathological features.

Authors:  I Calvo-Plaza; L Ugidos; C Miró; P Quevedo; M Parras; C Márquez; J J de la Cruz; A Suárez-Gauthier; F J Pérez; M Herrero; M Marcos; M García-Aranda; M Hidalgo; L G Estévez
Journal:  Clin Transl Oncol       Date:  2012-08-08       Impact factor: 3.405

5.  Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization-comparison between ADC value and ADC entropy.

Authors:  Haralambos Bougias; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Alexandra Christou
Journal:  Br J Radiol       Date:  2016-10-10       Impact factor: 3.039

6.  The role of diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors.

Authors:  Mi Jung Park; Eun Suk Cha; Bong Joo Kang; Yon Kwon Ihn; Jun Hyun Baik
Journal:  Korean J Radiol       Date:  2007 Sep-Oct       Impact factor: 3.500

7.  Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.

Authors:  Mariko Goto; Koji Sakai; Hajime Yokota; Maki Kiba; Mariko Yoshida; Hiroshi Imai; Elisabeth Weiland; Isao Yokota; Kei Yamada
Journal:  Eur Radiol       Date:  2018-08-07       Impact factor: 5.315

8.  Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon.

Authors:  Garima Agrawal; Min-Ying Su; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

9.  Diagnostic value of breast proton magnetic resonance spectroscopy at 1.5T in different histopathological types.

Authors:  Hyeon-Man Baek
Journal:  ScientificWorldJournal       Date:  2012-05-01

Review 10.  Bioelectrical Impedance Methods for Noninvasive Health Monitoring: A Review.

Authors:  Tushar Kanti Bera
Journal:  J Med Eng       Date:  2014-06-17
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