Literature DB >> 23504036

Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions.

K Pinker1, H Bickel, T H Helbich, S Gruber, P Dubsky, U Pluschnig, M Rudas, Z Bago-Horvath, M Weber, S Trattnig, W Bogner.   

Abstract

OBJECTIVE: To develop and assess a combined reading for contrast-enhanced magnetic resonance (CE-MRI) and diffusion weighted imaging (DWI) adapted to the BI-RADS for multiparametric MRI of the breast at 3 T.
METHODS: A total of 247 patients with histopathologically verified breast lesions were included in this IRB-approved prospective study. All patients underwent CE-MR and DWI at 3 T. MRIs were classified according to BI-RADS and assessed for apparent diffusion coefficient (ADC) values. A reading method that adapted ADC thresholds to the assigned BI-RADS classification was developed. Sensitivity, specificity, diagnostic accuracy and the area under the curve were calculated. BI-RADS-adapted reading was compared with previously published reading methods in the same population. Inter- and intra-reader variability was assessed.
RESULTS: Sensitivity of BI-RADS-adapted reading was not different from the high sensitivity of CE-MRI (P = 0.4). BI-RADS-adapted reading maximised specificity (89.4 %), which was significantly higher compared with CE-MRI (P < 0.001). Previous reading methods did not perform as well as the BI-RADS method except for a logistic regression model. BI-RADS-adapted reading was more sensitive in non-mass-like enhancements (NMLE) and was more robust to inter- and intra-reader variability.
CONCLUSION: Multiparametric 3-T MRI of the breast using a BI-RADS-adapted reading is fast, simple to use and significantly improves the diagnostic accuracy of breast MRI. KEYPOINTS : • Multiparametric breast 3-T MRI with BI-RADS-adapted reading improves diagnostic accuracy. • BI-RADS-adapted reading of CE-MRI and DWI is based on established reporting guidelines. • BI-RADS-adapted reading is fast and easy to use in routine clinical practice. • BI-RADS-adapted reading is robust to intra- and inter-reader variability.

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Year:  2013        PMID: 23504036     DOI: 10.1007/s00330-013-2771-8

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


  35 in total

1.  Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors.

Authors:  Sibel Kul; Aysegul Cansu; Etem Alhan; Hasan Dinc; Gurbuz Gunes; Abdulkadir Reis
Journal:  AJR Am J Roentgenol       Date:  2011-01       Impact factor: 3.959

2.  Diagnostic concordance in reporting breast needle core biopsies using the B classification-A panel in Italy.

Authors:  Simonetta Bianchi; Saverio Caini; Maria Grazia Cattani; Vania Vezzosi; Mauro Biancalani; Domenico Palli
Journal:  Pathol Oncol Res       Date:  2009-05-17       Impact factor: 3.201

Review 3.  Multiparametric magnetic resonance imaging of breast cancer.

Authors:  Michael A Jacobs
Journal:  J Am Coll Radiol       Date:  2009-07       Impact factor: 5.532

4.  Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis?

Authors:  Wolfgang Bogner; Stephan Gruber; Katja Pinker; Günther Grabner; Andreas Stadlbauer; Michael Weber; Ewald Moser; Thomas H Helbich; Siegfried Trattnig
Journal:  Radiology       Date:  2009-07-31       Impact factor: 11.105

5.  Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Authors:  Savannah C Partridge; Wendy B DeMartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2009-12       Impact factor: 3.959

6.  Readout-segmented echo-planar imaging improves the diagnostic performance of diffusion-weighted MR breast examinations at 3.0 T.

Authors:  Wolfgang Bogner; Katja Pinker-Domenig; Hubert Bickel; Marek Chmelik; Michael Weber; Thomas H Helbich; Siegfried Trattnig; Stephan Gruber
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

7.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

8.  High resolution MRI of the breast at 3 T: which BI-RADS® descriptors are most strongly associated with the diagnosis of breast cancer?

Authors:  K Pinker-Domenig; W Bogner; S Gruber; H Bickel; S Duffy; M Schernthaner; P Dubsky; U Pluschnig; M Rudas; S Trattnig; T H Helbich
Journal:  Eur Radiol       Date:  2011-09-14       Impact factor: 5.315

9.  Categorization of non-mass-like breast lesions detected by MRI.

Authors:  Naomi Sakamoto; Mitsuhiro Tozaki; Kuniki Higa; Yuko Tsunoda; Tomoko Ogawa; Satoko Abe; Shinji Ozaki; Masaaki Sakamoto; Tomoko Tsuruhara; Naoko Kawano; Takako Suzuki; Norie Yamashiro; Eisuke Fukuma
Journal:  Breast Cancer       Date:  2008-01-22       Impact factor: 4.239

Review 10.  Guidelines from the European Society of Breast Imaging for diagnostic interventional breast procedures.

Authors:  Matthew Wallis; Anne Tardivon; Anne Tarvidon; Thomas Helbich; Ingrid Schreer
Journal:  Eur Radiol       Date:  2007-02       Impact factor: 7.034

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  53 in total

1.  Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? An inter- and intra-reader agreement study.

Authors:  Paola Clauser; Magda Marcon; Marta Maieron; Chiara Zuiani; Massimo Bazzocchi; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-07       Impact factor: 5.315

2.  A simple scoring system for breast MRI interpretation: does it compensate for reader experience?

Authors:  Maria Adele Marino; Paola Clauser; Ramona Woitek; Georg J Wengert; Panagiotis Kapetas; Maria Bernathova; Katja Pinker-Domenig; Thomas H Helbich; Klaus Preidler; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-29       Impact factor: 5.315

3.  Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison.

Authors:  S Gruber; L Minarikova; K Pinker; O Zaric; M Chmelik; B Strasser; P Baltzer; T Helbich; S Trattnig; W Bogner
Journal:  Eur Radiol       Date:  2015-08-27       Impact factor: 5.315

4.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

Review 5.  [Imaging diagnostics of breast metastases from extramammary tumors].

Authors:  S Wienbeck; S Nemat; J Lotz; A Surov
Journal:  Radiologe       Date:  2017-06       Impact factor: 0.635

6.  [Molecular breast imaging. An update].

Authors:  K Pinker; T H Helbich; H Magometschnigg; B Fueger; P Baltzer
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

7.  Computer-aided evaluation as an adjunct to revised BI-RADS Atlas: improvement in positive predictive value at screening breast MRI.

Authors:  Hye Mi Gweon; Nariya Cho; Mirinae Seo; A Jung Chu; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2014-05-02       Impact factor: 5.315

8.  Diffusion-weighted magnetic resonance imaging of breast lesions: the influence of different fat-suppression techniques on quantitative measurements and their reproducibility.

Authors:  P Mürtz; M Tsesarskiy; A Kowal; F Träber; J Gieseke; W A Willinek; C C Leutner; A Schmiedel; H H Schild
Journal:  Eur Radiol       Date:  2014-06-05       Impact factor: 5.315

9.  Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.

Authors:  Hubert Bickel; Katja Pinker; Stephan Polanec; Heinrich Magometschnigg; Georg Wengert; Claudio Spick; Wolfgang Bogner; Zsuzsanna Bago-Horvath; Thomas H Helbich; Pascal Baltzer
Journal:  Eur Radiol       Date:  2016-08-30       Impact factor: 5.315

10.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

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