References
Iima M, Honda M, Sigmund EE et al (2020) Diffusion MRI of the breast: current status and future directions. J Magn Reson Imaging 52:70–90. https://doi.org/10.1002/jmri.26908
Baltzer P, Mann RM, Iima M et al (2020) Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group. Eur Radiol 30:1436–1450. https://doi.org/10.1007/s00330-019-06510-3
QIBA Profile. Diffusion-weighted magnetic resonanceimaging (DWI). https://qibawiki.rsna.org/images/6/63/QIBA_DWIProfile_Consensus_Dec2019_Final.pdf
Dorrius MD, Dijkstra H, Oudkerk M, Sijens PE (2014) Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis. Eur Radiol 24:2835–2847. https://doi.org/10.1007/s00330-014-3338-z
Shi R-Y, Yao Q-Y, Wu L-M, Xu J-R (2018) Breast lesions: diagnosis using diffusion weighted imaging at 1.5T and 3.0T-systematic review and meta-analysis. Clin Breast Cancer 18:e305–e320. https://doi.org/10.1016/j.clbc.2017.06.011
Bickel H, Clauser P, Pinker K et al (2023) Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database. Eur Radiol. https://doi.org/10.1007/s00330-023-09675-0
Pinker K, Moy L, Sutton EJ et al (2018) 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. Invest Radiol 53:587–595. https://doi.org/10.1097/RLI.0000000000000465
Iima M, Le Bihan D (2016) Clinical intravoxel incoherent motion and diffusion MRI imaging: past, present, and future. Radiology 278:13–32. https://doi.org/10.1148/radiol.2015150244
Goto M, Le Bihan D, Yoshida M, Sakai K, Yamada K (2019) Adding a model-free diffusion MRI marker to BI-RADS assessment improves specificity for diagnosing breast lesions. Radiology 292(1):84–93. https://doi.org/10.1148/radiol.2019181780
Iima M, Le Bihan D (2023) The road to breast cancer screening with diffusion MRI. Front Oncol. 13:993540. Published 2023 Feb 21. https://doi.org/10.3389/fonc.2023.993540
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We thank Karl Embleton, PhD, from Edanz (https://jp.edanz.com/ac) for editing a draft of this manuscript.
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Maya Honda: No relevant relationships.
Mami Iima: Grants from KAKENHI (Grant-in-Aid for Scientific Research [C] 21K07618) and AMED (grant 22he0422025j0001); patents planned, issued, or pending (PCT/JP2015/055638).
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Honda, M., Iima, M. Is the breast ADC category system a useful addition to BI-RADS?. Eur Radiol 33, 5398–5399 (2023). https://doi.org/10.1007/s00330-023-09752-4
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DOI: https://doi.org/10.1007/s00330-023-09752-4