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      Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group

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          Abstract

          The European Society of Breast Radiology (EUSOBI) established an International Breast DWI working group. The working group consists of clinical breast MRI experts, MRI physicists, and representatives from large vendors of MRI equipment, invited based upon proven expertise in breast MRI and/or in particular breast DWI, representing 25 sites from 16 countries. The aims of the working group are (a) to promote the use of breast DWI into clinical practice by issuing consensus statements and initiate collaborative research where appropriate; (b) to define necessary standards and provide practical guidance for clinical application of breast DWI; (c) to develop a standardized and translatable multisite multivendor quality assurance protocol, especially for multisite research studies; (d) to find consensus on optimal methods for image processing/analysis, visualization, and interpretation; and (e) to work collaboratively with system vendors to improve breast DWI sequences. First consensus recommendations, presented in this paper, include acquisition parameters for standard breast DWI sequences including specifications of b values, fat saturation, spatial resolution, and repetition and echo times. To describe lesions in an objective way, levels of diffusion restriction/hindrance in the breast have been defined based on the published literature on breast DWI. The use of a small ROI placed on the darkest part of the lesion on the ADC map, avoiding necrotic, noisy or non-enhancing lesion voxels is currently recommended. The working group emphasizes the need for standardization and quality assurance before ADC thresholds are applied. The working group encourages further research in advanced diffusion techniques and tailored DWI strategies for specific indications.

          Key Points

          • The working group considers breast DWI an essential part of a multiparametric breast MRI protocol and encourages its use.

          • Basic requirements for routine clinical application of breast DWI are provided, including recommendations on b values, fat saturation, spatial resolution, and other sequence parameters.

          • Diffusion levels in breast lesions are defined based on meta-analysis data and methods to obtain a reliable ADC value are detailed.

          Electronic supplementary material

          The online version of this article (10.1007/s00330-019-06510-3) contains supplementary material, which is available to authorized users.

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          Most cited references57

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          Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group.

          The use of breast magnetic resonance imaging (MRI) is rapidly increasing. EUSOMA organised a workshop in Milan on 20-21st October 2008 to evaluate the evidence currently available on clinical value and indications for breast MRI. Twenty-three experts from the disciplines involved in breast disease management - including epidemiologists, geneticists, oncologists, radiologists, radiation oncologists, and surgeons - discussed the evidence for the use of this technology in plenary and focused sessions. This paper presents the consensus reached by this working group. General recommendations, technical requirements, methodology, and interpretation were firstly considered. For the following ten indications, an overview of the evidence, a list of recommendations, and a number of research issues were defined: staging before treatment planning; screening of high-risk women; evaluation of response to neoadjuvant chemotherapy; patients with breast augmentation or reconstruction; occult primary breast cancer; breast cancer recurrence; nipple discharge; characterisation of equivocal findings at conventional imaging; inflammatory breast cancer; and male breast. The working group strongly suggests that all breast cancer specialists cooperate for an optimal clinical use of this emerging technology and for future research, focusing on patient outcome as primary end-point. Copyright (c) 2010 Elsevier Ltd. All rights reserved.
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            Breast MRI: guidelines from the European Society of Breast Imaging

            The aim of breast MRI is to obtain a reliable evaluation of any lesion within the breast. It is currently always used as an adjunct to the standard diagnostic procedures of the breast, i.e., clinical examination, mammography and ultrasound. Whereas the sensitivity of breast MRI is usually very high, specificity—as in all breast imaging modalities—depends on many factors such as reader expertise, use of adequate techniques and composition of the patient cohorts. Since breast MRI will always yield MR-only visible questionable lesions that require an MR-guided intervention for clarification, MRI should only be offered by institutions that can also offer a MRI-guided breast biopsy or that are in close contact with a site that can perform this type of biopsy for them. Radiologists involved in breast imaging should ensure that they have a thorough knowledge of the MRI techniques that are necessary for breast imaging, that they know how to evaluate a breast MRI using the ACR BI-RADS MRI lexicon, and most important, when to perform breast MRI. This manuscript provides guidelines on the current best practice for the use of breast MRI, and the methods to be used, from the European Society of Breast Imaging (EUSOBI).
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              High resolution diffusion-weighted imaging using readout-segmented echo-planar imaging, parallel imaging and a two-dimensional navigator-based reacquisition.

              Single-shot echo-planar imaging (EPI) is well established as the method of choice for clinical, diffusion-weighted imaging with MRI because of its low sensitivity to the motion-induced phase errors that occur during diffusion sensitization of the MR signal. However, the method is prone to artifacts due to susceptibility changes at tissue interfaces and has a limited spatial resolution. The introduction of parallel imaging techniques, such as GRAPPA (GeneRalized Autocalibrating Partially Parallel Acquisitions), has reduced these problems, but there are still significant limitations, particularly at higher field strengths, such as 3 Tesla (T), which are increasingly being used for routine clinical imaging. This study describes how the combination of readout-segmented EPI and parallel imaging can be used to address these issues by generating high-resolution, diffusion-weighted images at 1.5T and 3T with a significant reduction in susceptibility artifact compared with the single-shot case. The technique uses data from a 2D navigator acquisition to perform a nonlinear phase correction and to control the real-time reacquisition of unusable data that cannot be corrected. Measurements on healthy volunteers demonstrate that this approach provides a robust correction for motion-induced phase artifact and allows scan times that are suitable for routine clinical application. (c) 2009 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                ritse.mann@radboudumc.nl
                Journal
                Eur Radiol
                Eur Radiol
                European Radiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0938-7994
                1432-1084
                30 November 2019
                30 November 2019
                2020
                : 30
                : 3
                : 1436-1450
                Affiliations
                [1 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, , Medical University of Vienna/Vienna General Hospital, ; Wien, Austria
                [2 ]GRID grid.10417.33, ISNI 0000 0004 0444 9382, Department of Radiology, , Radboud University Medical Centre, ; Nijmegen, Netherlands
                [3 ]GRID grid.430814.a, Department of Radiology, , The Netherlands Cancer Institute, ; Amsterdam, Netherlands
                [4 ]GRID grid.258799.8, ISNI 0000 0004 0372 2033, Department of Diagnostic Imaging and Nuclear Medicine, , Kyoto University Graduate School of Medicine, ; Kyoto, Japan
                [5 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Department of Radiology, , New York University School of Medicine, NYU Langone Health, ; Ney York, NY 10016 USA
                [6 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Radiology, , University of Cambridge, Cambridge Biomedical Campus, ; Cambridge, United Kingdom
                [7 ]GRID grid.492852.0, SOC Radiodiagnostica, ASL AT, ; Asti, Italy
                [8 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Radiology, , University of Washington School of Medicine, ; Seattle, Washington USA
                [9 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, MSKCC, ; New York, NY 10065 USA
                [10 ]GRID grid.418596.7, ISNI 0000 0004 0639 6384, Institut Curie, ; Paris, France
                [11 ]Ribera Salud Hospitals, Valencia, Spain
                [12 ]NeuroSpin, Frédéric Joliot Institute, Gif Sur Yvette, France
                Author information
                http://orcid.org/0000-0001-8111-1930
                Article
                6510
                10.1007/s00330-019-06510-3
                7033067
                31786616
                8873abae-6c56-4380-87cb-41559f7e792f
                © The Author(s) 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 13 March 2019
                : 3 September 2019
                : 10 October 2019
                Funding
                Funded by: Radboud University Medical Center
                Categories
                Breast
                Custom metadata
                © European Society of Radiology 2020

                Radiology & Imaging
                diffusion magnetic resonance imaging,biomarkers,breast,breast neoplasms,consensus

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