Literature DB >> 15019691

Differentiation of benign and malignant sub-1 cm breast lesions using dynamic contrast enhanced MRI.

P Gibbs1, G P Liney, M Lowry, P J Kneeshaw, L W Turnbull.   

Abstract

The purpose of this work is to assess the additional benefit of MRI-based morphology and quantification of contrast enhancement in the differential diagnosis of sub-1cm breast lesions. Forty-three women with suspected breast cancer were examined using X-ray mammography, ultrasound mammography, and MRI. Dynamic contrast imaging was performed and relative enhancement at various time-points was calculated. The dynamic data was also processed using a two-compartment pharmacokinetic model. Radiological interpretation of high-resolution post-contrast images revealed a similar accuracy (69%) compared to X-ray mammography (69%) and ultrasound mammography (67%). The best individual parameter calculated from the dynamic images was found to be the exchange rate constant which revealed a diagnostic accuracy of 0.74 +/- 0.08. When information from the post-contrast images and dynamic data was combined in a logistic regression model a diagnostic accuracy of 0.92 +/- 0.03 was achieved. In conclusion, MR imaging of small breast lesions is feasible and the incorporation of quantitative MR derived parameters is beneficial.

Entities:  

Mesh:

Year:  2004        PMID: 15019691     DOI: 10.1016/j.breast.2003.10.002

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  16 in total

1.  Diffusion tensor magnetic resonance imaging of the breast: a pilot study.

Authors:  Pascal A T Baltzer; Anja Schäfer; Matthias Dietzel; David Grässel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-07-29       Impact factor: 5.315

Review 2.  Total-body MR-imaging in oncology.

Authors:  Juergen F Schaefer; Heinz-Peter W Schlemmer
Journal:  Eur Radiol       Date:  2006-04-19       Impact factor: 5.315

3.  Evaluation of novel genetic algorithm generated schemes for positron emission tomography (PET)/magnetic resonance imaging (MRI) image fusion.

Authors:  K G Baum; E Schmidt; K Rafferty; A Krol; María Helguera
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

4.  Influence of scan duration on the estimation of pharmacokinetic parameters for breast lesions: a study based on CAIPIRINHA-Dixon-TWIST-VIBE technique.

Authors:  Wen Hao; Bin Zhao; Guangbin Wang; Cuiyan Wang; Hui Liu
Journal:  Eur Radiol       Date:  2014-10-17       Impact factor: 5.315

5.  A dynamic lesion model for differentiation of malignant and benign pathologies.

Authors:  Weiguo Cao; Zhengrong Liang; Yongfeng Gao; Marc J Pomeroy; Fangfang Han; Almas Abbasi; Perry J Pickhardt
Journal:  Sci Rep       Date:  2021-02-10       Impact factor: 4.379

6.  Feature selection in computer-aided breast cancer diagnosis via dynamic contrast-enhanced magnetic resonance images.

Authors:  Megan Rakoczy; Donald McGaughey; Michael J Korenberg; Jacob Levman; Anne L Martel
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

7.  Small breast lesion classification performance using the normalized axial-shear strain area feature.

Authors:  Arun K Thittai; Jose-Miguel Yamal; Jonathan Ophir
Journal:  Ultrasound Med Biol       Date:  2013-01-11       Impact factor: 2.998

Review 8.  [Oncologic screening with whole-body MRI: possibilities and limitations].

Authors:  J F Schäfer; A Fischmann; M Lichy; J Vollmar; M Fenchel; C D Claussen; H-P Schlemmer
Journal:  Radiologe       Date:  2004-09       Impact factor: 0.635

9.  Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.

Authors:  Mariko Goto; Koji Sakai; Hajime Yokota; Maki Kiba; Mariko Yoshida; Hiroshi Imai; Elisabeth Weiland; Isao Yokota; Kei Yamada
Journal:  Eur Radiol       Date:  2018-08-07       Impact factor: 5.315

10.  The effects of applying breast compression in dynamic contrast material-enhanced MR imaging.

Authors:  Riham H El Khouli; Katarzyna J Macura; Ihab R Kamel; David A Bluemke; Michael A Jacobs
Journal:  Radiology       Date:  2014-03-12       Impact factor: 11.105

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