Literature DB >> 27193776

Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings.

Sebastian Bickelhaupt1, Jana Tesdorff2, Frederik Bernd Laun3, Tristan Anselm Kuder3, Wolfgang Lederer4, Susanne Teiner4, Klaus Maier-Hein5, Heidi Daniel6, Anne Stieber7, Stefan Delorme2, Heinz-Peter Schlemmer2.   

Abstract

OBJECTIVES: The aim of this study was to evaluate the accuracy and applicability of solitarily reading fused image series of T2-weighted and high-b-value diffusion-weighted sequences for lesion characterization as compared to sequential or combined image analysis of these unenhanced sequences and to contrast- enhanced breast MRI.
METHODS: This IRB-approved study included 50 female participants with suspicious breast lesions detected in screening X-ray mammograms, all of which provided written informed consent. Prior to biopsy, all women underwent MRI including diffusion-weighted imaging (DWIBS, b = 1500s/mm2). Images were analyzed as follows: prospective image fusion of DWIBS and T2-weighted images (FU), side-by-side analysis of DWIBS and T2-weighted series (CO), combination of the first two methods (CO+FU), and full contrast-enhanced diagnostic protocol (FDP). Diagnostic indices, confidence, and image quality of the protocols were compared by two blinded readers.
RESULTS: Reading the CO+FU (accuracy 0.92; NPV 96.1 %; PPV 87.6 %) and the CO series (0.90; 96.1 %; 83.7 %) provided a diagnostic performance similar to the FDP (0.95; 96.1 %; 91.3 %; p > 0.05). FU reading alone significantly reduced the diagnostic accuracy (0.82; 93.3 %; 73.4 %; p = 0.023).
CONCLUSIONS: MR evaluation of suspicious BI-RADS 4 and 5 lesions detected on mammography by using a non-contrast-enhanced T2-weighted and DWIBS sequence protocol is most accurate if MR images were read using the CO+FU protocol. KEY POINTS: • Unenhanced breast MRI with additional DWIBS/T2w-image fusion allows reliable lesion characterization. • Abbreviated reading of fused DWIBS/T2w-images alone decreases diagnostic confidence and accuracy. • Reading fused DWIBS/T2w-images as the sole diagnostic method should be avoided.

Entities:  

Keywords:  Breast; Diffusion-weighted imaging (DWI); Image fusion; MRI; Screening

Mesh:

Substances:

Year:  2016        PMID: 27193776     DOI: 10.1007/s00330-016-4400-9

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


  20 in total

Review 1.  Diffusion-weighted MR imaging of the breast: advantages and pitfalls.

Authors:  I Thomassin-Naggara; C De Bazelaire; J Chopier; M Bazot; C Marsault; I Trop
Journal:  Eur J Radiol       Date:  2012-05-31       Impact factor: 3.528

2.  BI-RADS data should not be used to estimate ROC curves.

Authors:  Yulei Jiang; Charles E Metz
Journal:  Radiology       Date:  2010-07       Impact factor: 11.105

3.  Can unenhanced breast MRI be used to decrease negative biopsy rates?

Authors:  Sibel Kul; Şükrü Oğuz; İlker Eyüboğlu; Özlem Kömürcüoğlu
Journal:  Diagn Interv Radiol       Date:  2015 Jul-Aug       Impact factor: 2.630

4.  Unenhanced breast MRI (STIR, T2-weighted TSE, DWIBS): An accurate and alternative strategy for detecting and differentiating breast lesions.

Authors:  Michele Telegrafo; Leonarda Rella; Amato Antonio Stabile Ianora; Giuseppe Angelelli; Marco Moschetta
Journal:  Magn Reson Imaging       Date:  2015-06-25       Impact factor: 2.546

5.  Diffusion weighted imaging with background body signal suppression / T2 image fusion in magnetic resonance mammography for breast cancer diagnosis.

Authors:  I A Nechifor-Boilă; S Bancu; M Buruian; M Charlot; M Decaussin-Petrucci; J-S Krauth; A C Nechifor-Boilă; A Borda
Journal:  Chirurgia (Bucur)       Date:  2013 Mar-Apr

6.  Parametrial invasion in cervical cancer: fused T2-weighted imaging and high-b-value diffusion-weighted imaging with background body signal suppression at 3 T.

Authors:  Jung Jae Park; Chan Kyo Kim; Sung Yoon Park; Byung Kwan Park
Journal:  Radiology       Date:  2014-10-07       Impact factor: 11.105

7.  Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer.

Authors:  S Y Choi; Y-W Chang; H J Park; H J Kim; S S Hong; D Y Seo
Journal:  Br J Radiol       Date:  2011-11-29       Impact factor: 3.039

8.  Fusion of high b-value diffusion-weighted and T2-weighted MR images improves identification of lymph nodes in the pelvis.

Authors:  N Mir; S A Sohaib; D Collins; D M Koh
Journal:  J Med Imaging Radiat Oncol       Date:  2010-08       Impact factor: 1.735

9.  Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display.

Authors:  Taro Takahara; Yutaka Imai; Tomohiro Yamashita; Seiei Yasuda; Seiji Nasu; Marc Van Cauteren
Journal:  Radiat Med       Date:  2004 Jul-Aug

10.  Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme.

Authors:  Anahita Fathi Kazerooni; Meysam Mohseni; Sahar Rezaei; Gholamreza Bakhshandehpour; Hamidreza Saligheh Rad
Journal:  MAGMA       Date:  2014-04-02       Impact factor: 2.310

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  12 in total

1.  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

2.  Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

Authors:  Nita Amornsiripanitch; Sebastian Bickelhaupt; Hee Jung Shin; Madeline Dang; Habib Rahbar; Katja Pinker; Savannah C Partridge
Journal:  Radiology       Date:  2019-10-08       Impact factor: 11.105

3.  Can DWI provide additional value to Kaiser score in evaluation of breast lesions.

Authors:  Yongyu An; Guoqun Mao; Weiqun Ao; Fan Mao; Hongxia Zhang; Yougen Cheng; Guangzhao Yang
Journal:  Eur Radiol       Date:  2022-03-31       Impact factor: 7.034

4.  MRI-guided vacuum-assisted breast biopsy: experience of a single tertiary referral cancer centre and prospects for the future.

Authors:  Silvia Penco; Anna Rotili; Filippo Pesapane; Chiara Trentin; Valeria Dominelli; Angela Faggian; Mariagiorgia Farina; Irene Marinucci; Anna Bozzini; Maria Pizzamiglio; Anna Maria Ierardi; Enrico Cassano
Journal:  Med Oncol       Date:  2020-03-27       Impact factor: 3.064

5.  On a fractional order calculus model in diffusion weighted breast imaging to differentiate between malignant and benign breast lesions detected on X-ray screening mammography.

Authors:  Sebastian Bickelhaupt; Franziska Steudle; Daniel Paech; Anna Mlynarska; Tristan Anselm Kuder; Wolfgang Lederer; Heidi Daniel; Martin Freitag; Stefan Delorme; Heinz-Peter Schlemmer; Frederik Bernd Laun
Journal:  PLoS One       Date:  2017-04-28       Impact factor: 3.240

6.  Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI.

Authors:  Daly Avendano; Maria Adele Marino; Doris Leithner; Sunitha Thakur; Blanca Bernard-Davila; Danny F Martinez; Thomas H Helbich; Elizabeth A Morris; Maxine S Jochelson; Pascal A T Baltzer; Paola Clauser; Panagiotis Kapetas; Katja Pinker
Journal:  Breast Cancer Res       Date:  2019-12-04       Impact factor: 6.466

Review 7.  Abbreviated magnetic resonance imaging in breast cancer: A systematic review of literature.

Authors:  María Liliana Hernández; Santiago Osorio; Katherine Florez; Alejandra Ospino; Gloria M Díaz
Journal:  Eur J Radiol Open       Date:  2020-12-17

Review 8.  Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation.

Authors:  Su Hyun Lee; Hee Jung Shin; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-08-28       Impact factor: 3.500

Review 9.  Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.

Authors:  Julia Camps-Herrero
Journal:  BJR Open       Date:  2019-03-08

10.  Influence of residual fat signal on diffusion kurtosis MRI of suspicious mammography findings.

Authors:  Anna Mlynarska-Bujny; Sebastian Bickelhaupt; Frederik Bernd Laun; Franziska König; Wolfgang Lederer; Heidi Daniel; Mark Edward Ladd; Heinz-Peter Schlemmer; Stefan Delorme; Tristan Anselm Kuder
Journal:  Sci Rep       Date:  2020-08-06       Impact factor: 4.379

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