Literature DB >> 11511885

Differentiation between benign and malignant findings on MR-mammography: usefulness of morphological criteria.

U Wedegärtner1, U Bick, K Wörtler, E Rummeny, G Bongartz.   

Abstract

The purpose of this study was to evaluate the usefulness of morphological criteria in differentiating between benign and malignant lesions on MR-mammography. Fifty-three women (18-82 years) with 62 lesions scheduled for excisional biopsy underwent dynamic contrast-enhanced MR-mammography using fast 3D Gradient-Echo sequences in coronal orientation (axial orientation in seven patients). Histology revealed 44 malignant and 18 benign lesions. For each lesion, five radiologists evaluated four morphological features: lesion shape, irregularity of contour, homogeneity of contrast enhancement and presence of ring enhancement. For each feature a receiver operating characteristic (ROC) curve was generated with calculation of the area under the curve (AUC). Interobserver variability was evaluated by the kappa-coefficient. The most reliable morphological feature indicating malignancy was an irregular lesion contour with a sensitivity/specificity/AUC of 83%/76%/0.9 followed by inhomogeneous contrast enhancement (85%/42%/0.7) and the presence of ring enhancement (71%/53%/0.64). The average interobserver agreement for the different features ranged between 0.35 and 0.4. Morphological criteria are useful features in MR-mammography for differentiating between benign and malignant lesions. However, due to the relatively high interobserver variability, standardization of terminology is important.

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Year:  2001        PMID: 11511885     DOI: 10.1007/s003300100885

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  29 in total

1.  Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Authors:  Thomas Schlossbauer; Gerda Leinsinger; Axel Wismuller; Oliver Lange; Michael Scherr; Anke Meyer-Baese; Maximilian Reiser
Journal:  Invest Radiol       Date:  2008-01       Impact factor: 6.016

2.  Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

Authors:  Kathinka D Kurz; Hans-Jörg Wittsack; Reinhart Willers; Dirk Blondin; Ulrich Mödder; Andreas Saleh
Journal:  Eur Radiol       Date:  2007-06-16       Impact factor: 5.315

3.  Evaluation of Kinetic Entropy of Breast Masses Initially Found on MRI using Whole-lesion Curve Distribution Data: Comparison with the Standard Kinetic Analysis.

Authors:  Akiko Shimauchi; Hiroyuki Abe; David V Schacht; Jian Yulei; Federico D Pineda; Sanaz A Jansen; Rajiv Ganesh; Gillian M Newstead
Journal:  Eur Radiol       Date:  2015-02-20       Impact factor: 5.315

4.  Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.

Authors:  Mahesh B Nagarajan; Markus B Huber; Thomas Schlossbauer; Gerda Leinsinger; Andrzej Krol; Axel Wismüller
Journal:  Artif Intell Med       Date:  2013-11-23       Impact factor: 5.326

5.  Automatic ROI construction for analyzing time-signal intensity curve in dynamic contrast-enhanced MR imaging of the breast.

Authors:  Koya Fujimoto; Yasuyuki Ueda; Shohei Kudomi; Teppei Yonezawa; Yuki Fujimoto; Katsuhiko Ueda
Journal:  Radiol Phys Technol       Date:  2015-07-04

6.  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

7.  Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

Authors:  Ka-Loh Li; Savannah C Partridge; Bonnie N Joe; Jessica E Gibbs; Ying Lu; Laura J Esserman; Nola M Hylton
Journal:  Radiology       Date:  2008-07       Impact factor: 11.105

8.  Application of an exogenous hyperoxic contrast agent in MR mammography: initial results.

Authors:  Dorothee R Fischer; Jürgen R Reichenbach; Alexander Rauscher; Jan Sedlacik; Werner A Kaiser
Journal:  Eur Radiol       Date:  2004-09-22       Impact factor: 5.315

9.  Invasive breast cancer: correlation of dynamic MR features with prognostic factors.

Authors:  Botond K Szabó; Peter Aspelin; Maria Kristoffersen Wiberg; Tibor Tot; Beata Boné
Journal:  Eur Radiol       Date:  2003-07-26       Impact factor: 5.315

10.  Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.

Authors:  Dustin Newell; Ke Nie; Jeon-Hor Chen; Chieh-Chih Hsu; Hon J Yu; Orhan Nalcioglu; Min-Ying Su
Journal:  Eur Radiol       Date:  2009-09-30       Impact factor: 5.315

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