Literature DB >> 12630684

Breast MR imaging.

Mitchell D Schnall1.   

Abstract

Contrast-enhanced breast MR imaging has made significant progress since its introduction into the radiological literature in 1989. The techniques and technology continue to be refined, and understanding of the interpretation strategies has improved dramatically. Clinical applications in difficult diagnostic cases and the evaluation of the extent of breast cancer are now being practiced in many centers worldwide. There is great excitement over the potential for breast MR imaging to address the problem of screening high-risk women. Despite all of the progress made over the past years, however, there is still a significant amount of work ahead before a clear understanding of how this technique will affect the health care of women is obtained.

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Year:  2003        PMID: 12630684     DOI: 10.1016/s0033-8389(03)00068-4

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  4 in total

1.  Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers.

Authors:  Neha Bhooshan; Maryellen L Giger; Sanaz A Jansen; Hui Li; Li Lan; Gillian M Newstead
Journal:  Radiology       Date:  2010-02-01       Impact factor: 11.105

2.  Breast ultrasound tomography versus MRI for clinical display of anatomy and tumor rendering: preliminary results.

Authors:  Bryan Ranger; Peter J Littrup; Nebojsa Duric; Priti Chandiwala-Mody; Cuiping Li; Steven Schmidt; Jessica Lupinacci
Journal:  AJR Am J Roentgenol       Date:  2012-01       Impact factor: 3.959

3.  Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort.

Authors:  Catherine Klifa; Julio Carballido-Gamio; Lisa Wilmes; Anne Laprie; John Shepherd; Jessica Gibbs; Bo Fan; Susan Noworolski; Nola Hylton
Journal:  Magn Reson Imaging       Date:  2009-07-23       Impact factor: 2.546

4.  Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer.

Authors:  Soo Yeon Hahn; Eun Sook Ko; Boo-Kyung Han; Yaeji Lim; Seonhye Gu; Eun Young Ko
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

  4 in total

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