Literature DB >> 6695077

Magnetic resonance imaging of the breast. Work in progress.

S J El Yousef, R H Duchesneau, R J Alfidi, J R Haaga, P J Bryan, J P LiPuma.   

Abstract

Ten normal volunteers and 45 patients with breast abnormalities were examined with magnetic resonance (MR), utilizing a 0.3-tesla superconducting magnet. In all patients, MR detected an abnormality that corresponded to the area of pathology seen on either a mammogram or computed tomographic (CT) scan. An appreciable advantage of MR over mammography was observed in patients with cysts and in those with areas of asymmetric dysplastic breast tissue. Abnormalities on MR images appeared as areas of low signal intensity relative to adjacent normal ductal and fatty tissue. The configuration of a lesion on MR permitted distinction between a benign and a malignant process.

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Year:  1984        PMID: 6695077     DOI: 10.1148/radiology.150.3.6695077

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  Magnetic resonance imaging of the breast: functional T1 and three-dimensional imaging.

Authors:  C L Partain; M V Kulkarni; R R Price; A C Fleischer; D L Page; A W Malcolm; A C Winfield; A E James
Journal:  Cardiovasc Intervent Radiol       Date:  1986       Impact factor: 2.740

2.  Breast cancer detection.

Authors:  D B Kopans
Journal:  West J Med       Date:  1986-01

Review 3.  Magnetic resonance imaging: present and future applications.

Authors:  D L Johnston; P Liu; G L Wismer; B R Rosen; D D Stark; P F New; R D Okada; T J Brady
Journal:  Can Med Assoc J       Date:  1985-04-01       Impact factor: 8.262

4.  Nonpalpable breast carcinomas: long-term evaluation of 1,258 cases.

Authors:  Umberto Veronesi; Alberto Luini; Edoardo Botteri; Stefano Zurrida; Simonetta Monti; Viviana Galimberti; Enrico Cassano; Antuono Latronico; Maria Pizzamiglio; Giuseppe Viale; Dario Vezzoli; Nicole Rotmensz; Simona Musmeci; Fabio Bassi; Loredana Burgoa; Patrick Maisonneuve; Giovanni Paganelli; Paolo Veronesi
Journal:  Oncologist       Date:  2010-12-08

Review 5.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

6.  COMPUTER-AIDED DIAGNOSIS AND VISUALIZATION BASED ON CLUSTERING AND INDEPENDENT COMPONENT ANALYSIS FOR BREAST MRI.

Authors:  A Meyer-Baese; O Lange; T Schlossbauer; A Wismüller
Journal:  Proc Int Conf Image Proc       Date:  2008-10-12

7.  Model-Free Visualization of Suspicious Lesions in Breast MRI Based on Supervised and Unsupervised Learning.

Authors:  Thorsten Twellmann; Anke Meyer-Baese; Oliver Lange; Simon Foo; Tim W Nattkemper
Journal:  Eng Appl Artif Intell       Date:  2008-03       Impact factor: 6.212

Review 8.  Application of magnetic resonance imaging to early detection of breast cancer.

Authors:  M D Schnall
Journal:  Breast Cancer Res       Date:  2001       Impact factor: 6.466

9.  Nuclear magnetic resonance imaging in medicine.

Authors:  C S McKinstry
Journal:  Ulster Med J       Date:  1986-10

Review 10.  AI-Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer.

Authors:  Anke Meyer-Base; Lia Morra; Amirhessam Tahmassebi; Marc Lobbes; Uwe Meyer-Base; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2020-08-30       Impact factor: 4.813

  10 in total

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