Literature DB >> 8477067

[Signal characteristics of malignant and benign lesions in dynamic 2D-MRT of the breast].

U Fischer1, D von Heyden, R Vosshenrich, I Vieweg, E Grabbe.   

Abstract

In a retrospective study of 400 dynamic MR examinations of the breast the signal/time ratio of 62 histopathologically correlated lesions (19 benign, 42 malignant) was evaluated. Points of evaluation were initial signal enhancement (1st and 2nd minute), post-initial signal appearance (2nd to 5th minute) and signal distribution (homogeneous, marginal). Based on these criteria, a point system was defined to help in the assessment of lesions in dynamic breast-MR imaging. The overall sensitivity of this method was 95.3%, the specificity to 89.5% and the accuracy to 93.5%. Pitfalls resulted in two cases of non-invasive carcinoma and in two patients with fibroadenoma.

Entities:  

Mesh:

Year:  1993        PMID: 8477067     DOI: 10.1055/s-2008-1032652

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  7 in total

1.  Combination of low and high resolution sequences in two orientations for dynamic contrast-enhanced MRI of the breast: more than a compromise.

Authors:  Toni W Vomweg; Andrea Teifke; R Peter Kunz; Christian Hintze; Alexander Hlawatsch; Annett Kern; Karl F Kreitner; Manfred Thelen
Journal:  Eur Radiol       Date:  2004-07-29       Impact factor: 5.315

2.  Cluster analysis of signal-intensity time course in dynamic breast MRI: does unsupervised vector quantization help to evaluate small mammographic lesions?

Authors:  Gerda Leinsinger; Thomas Schlossbauer; Michael Scherr; Oliver Lange; Maximilian Reiser; Axel Wismüller
Journal:  Eur Radiol       Date:  2006-01-18       Impact factor: 5.315

3.  Invasive mucinous carcinoma of the breast missed by contrast-enhancing MR imaging of the breast.

Authors:  U Fischer; L Kopka; E Grabbe
Journal:  Eur Radiol       Date:  1996       Impact factor: 5.315

4.  Is there a correlation in breast carcinomas between tumor size and number of tumor vessels detected by gadolinium-enhanced magnetic resonance mammography?

Authors:  C Siewert; H Oellinger; H K Sherif; J U Blohmer; J Hadijuana; R Felix
Journal:  MAGMA       Date:  1997-03       Impact factor: 2.310

5.  Is the "blooming sign" a promising additional tool to determine malignancy in MR mammography?

Authors:  D R Fischer; P Baltzer; A Malich; S Wurdinger; M G Freesmeyer; C Marx; W A Kaiser
Journal:  Eur Radiol       Date:  2003-09-27       Impact factor: 5.315

6.  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 7.  The Changing World of Breast Cancer: A Radiologist's Perspective.

Authors:  Christiane K Kuhl
Journal:  Invest Radiol       Date:  2015-09       Impact factor: 6.016

  7 in total

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