Literature DB >> 10943285

MR imaging of the breast.

S G Orel1.   

Abstract

The results of clinical investigation suggest that MR imaging can provide clinically important information that cannot be obtained with conventional imaging methods, and that this modality will, in the future, be an invaluable adjunctive breast imaging tool just as breast ultrasound is today. MR imaging appears to be the most accurate method for the detection of implant failure, and although it is the most costly of the available implant imaging techniques, it may be the study of choice when there is a question of implant integrity that cannot be answered with conventional methods. MR imaging as a method to detect, diagnose, and stage breast cancer remains in the investigational stage. The specificity of MR imaging appears limited because of the overlap in the enhancement kinetics and morphologic appearance of benign and malignant lesions. In selected cases, the identification of certain morphologic features, such as internal septations or the absence of enhancement, may be used to classify a lesion as benign, offering an alternative to percutaneous or excisional biopsy. MR imaging appears to be very sensitive for the visualization of both invasive carcinoma and DCIS. Perhaps most important, MR imaging can detect invasive and noninvasive breast carcinoma that is both mammographically and clinically occult, offering the potential for more accurate breast cancer staging and optimized treatment planning. MR imaging is emerging as perhaps the most promising imaging modality for breast cancer detection to date. Published results, however, are from studies with relatively small numbers of patients. The results of these studies should be validated in a large-scale clinical trial before MR imaging is implemented clinically, outside of research settings. This type of clinical investigation is needed to define the technical requirements for optimal imaging, to define interpretation criteria, to develop accurate MR imaging guided localization and biopsy systems, to define the clinical indications for which MR imaging should be used as an adjunct to conventional imaging methods, and to address the issue of cost-effectiveness. One such trial, an international, multi-institutional study funded by the National Cancer Institute, is presently underway.

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Year:  2000        PMID: 10943285     DOI: 10.1016/s0033-8389(05)70208-6

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


  10 in total

1.  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

2.  DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Maryellen Giger; Gillian M Newstead
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

3.  Differentiation between benign and malignant breast lesions detected by bilateral dynamic contrast-enhanced MRI: a sensitivity and specificity study.

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Gillian M Newstead
Journal:  Magn Reson Med       Date:  2008-04       Impact factor: 4.668

4.  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

5.  Kinetic curves of malignant lesions are not consistent across MRI systems: need for improved standardization of breast dynamic contrast-enhanced MRI acquisition.

Authors:  Sanaz A Jansen; Akiko Shimauchi; Lindsay Zak; Xiaobing Fan; Abbie M Wood; Gregory S Karczmar; Gillian M Newstead
Journal:  AJR Am J Roentgenol       Date:  2009-09       Impact factor: 3.959

Review 6.  Monitoring therapeutic efficacy in breast carcinomas.

Authors:  Anne A Tardivon; Liliane Ollivier; Carl El Khoury; Fabienne Thibault
Journal:  Eur Radiol       Date:  2006-05-30       Impact factor: 7.034

Review 7.  Application of magnetic resonance imaging to angiogenesis in breast cancer.

Authors:  M O Leach
Journal:  Breast Cancer Res       Date:  2001       Impact factor: 6.466

8.  Breast vibro-acoustography: initial results show promise.

Authors:  Azra Alizad; Dana H Whaley; Matthew W Urban; Rickey E Carter; Randall R Kinnick; James F Greenleaf; Mostafa Fatemi
Journal:  Breast Cancer Res       Date:  2012-09-29       Impact factor: 6.466

9.  Correlation between apparent diffusion coefficient values in breast magnetic resonance imaging and prognostic factors of breast invasive ductal carcinoma.

Authors:  Ricardo Moutinho-Guilherme; Janeth Hercilia Oyola; David Sanz-Rosa; Israel Thuissard Vassallo; Raquel Murillo García; Joana Martins Pisco; Vicente Martínez de Vega
Journal:  Porto Biomed J       Date:  2018-08-03

10.  Convolutional neural network for breast cancer diagnosis using diffuse optical tomography.

Authors:  Qiwen Xu; Xin Wang; Huabei Jiang
Journal:  Vis Comput Ind Biomed Art       Date:  2019-05-08
  10 in total

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