Literature DB >> 18024435

Meta-analysis of MR imaging in the diagnosis of breast lesions.

Nicky H G M Peters1, Inne H M Borel Rinkes, Nicolaas P A Zuithoff, Willem P T M Mali, Karel G M Moons, Petra H M Peeters.   

Abstract

PURPOSE: To determine, in a meta-analysis, the diagnostic performance of contrast material-enhanced magnetic resonance (MR) imaging in patients with breast lesions.
MATERIALS AND METHODS: Studies to assess the diagnostic performance of MR imaging in patients suspected of having breast cancer who underwent MR imaging and biopsy from January 1985 through March 2005 were reviewed for inclusion. A summary receiver operating characteristic curve was constructed, and pooled weighted estimates of sensitivity and specificity were calculated by using the recently developed bivariate approach for diagnostic meta-analysis.
RESULTS: Of 251 eligible studies, 44 were included in the meta-analysis (sample size range, 14-821; cancer prevalence, 23%-84%). Pooled weighted estimates of sensitivity and specificity were 0.90 (95% confidence interval: 0.88, 0.92) and 0.72 (95% confidence interval: 0.67, 0.77), respectively. The performance of breast MR imaging was influenced by the prevalence of cancer in the studied population (P = .05) and by whether two criteria (ie, morphology, enhancement, and kinetic enhancement pattern)--versus one or three criteria--were used to differentiate benign from malignant lesions (P = .02).
CONCLUSION: MR imaging of the breast has high sensitivity and lower specificity in the evaluation of breast lesions. SUPPLEMENTAL MATERIAL: http://radiology.rsnajnls.org/cgi/content/full/2461061298/DC1. RSNA, 2007

Entities:  

Mesh:

Year:  2007        PMID: 18024435     DOI: 10.1148/radiol.2461061298

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


  142 in total

1.  Molecular imaging using light-absorbing imaging agents and a clinical optical breast imaging system--a phantom study.

Authors:  Stephanie M W Y van de Ven; Niculae Mincu; Jean Brunette; Guobin Ma; Mario Khayat; Debra M Ikeda; Sanjiv S Gambhir
Journal:  Mol Imaging Biol       Date:  2011-04       Impact factor: 3.488

2.  The added value of quantitative multi-voxel MR spectroscopy in breast magnetic resonance imaging.

Authors:  M D Dorrius; R M Pijnappel; M C van der Weide Jansen; L Jansen; P Kappert; M Oudkerk; P E Sijens
Journal:  Eur Radiol       Date:  2011-11-11       Impact factor: 5.315

3.  Dual-energy contrast-enhanced digital mammography: initial clinical results.

Authors:  Clarisse Dromain; Fabienne Thibault; Serge Muller; Françoise Rimareix; Suzette Delaloge; Anne Tardivon; Corinne Balleyguier
Journal:  Eur Radiol       Date:  2010-09-14       Impact factor: 5.315

4.  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

5.  Utility of second-look ultrasound in the management of incidental enhancing lesions detected by breast MR imaging.

Authors:  G Carbognin; V Girardi; C Calciolari; A Brandalise; F Bonetti; A Russo; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2010-06-23       Impact factor: 3.469

6.  MRI-guided core needle biopsy of the breast: Radiology-pathology correlation and impact on clinical management.

Authors:  Amy J Lilly; Meredith Johnson; Cherie M Kuzmiak; David W Ollila; Siobhan M O'Connor; Johann D Hertel; Benjamin C Calhoun
Journal:  Ann Diagn Pathol       Date:  2020-07-03       Impact factor: 2.090

Review 7.  Breast cancer imaging: a perspective for the next decade.

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

8.  MRI-guided breast biopsy: outcomes and effect on patient management.

Authors:  Kelly S Myers; Ihab R Kamel; Katarzyna J Macura
Journal:  Clin Breast Cancer       Date:  2014-11-10       Impact factor: 3.225

9.  Unveiling the histopathologic spectrum of MRI-guided breast biopsies: an institutional pathological-radiological correlation.

Authors:  Gustavo Moreno; Mariel Molina; Ruizhe Wu; Julie R Sullivan; Julie M Jorns
Journal:  Breast Cancer Res Treat       Date:  2021-05-27       Impact factor: 4.872

10.  Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?

Authors:  Boram Yi; Doo Kyoung Kang; Dukyong Yoon; Yong Sik Jung; Ku Sang Kim; Hyunee Yim; Tae Hee Kim
Journal:  Eur Radiol       Date:  2014-02-21       Impact factor: 5.315

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