摘要
Journal of Magnetic Resonance ImagingEarly View EDITORIAL Editorial for "Time-Dependent Diffusion MRI-Based Microstructural Mapping for Characterizing HER2-Zero, -Low, -Ultralow and -Positive Breast Cancers" This article relates to: Time-Dependent Diffusion MRI-Based Microstructural Mapping for Characterizing HER2-Zero, -Low, -Ultra-Low, and -Positive Breast Cancer Xiaoxia Wang, Yao Huang, Ying Cao, Huifang Chen, Xueqin Gong, Xiaosong Lan, Jiuquan Zhang, Zhaoxiang Ye, Journal of Magnetic Resonance Imaging First Published online: August 20, 2025 Simone Schiaffino, Corresponding Author Simone Schiaffino [email protected] orcid.org/0000-0003-4243-888X Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland Correspondence: Simone Schiaffino ([email protected])Search for more papers by this authorAndrea Leoncini, Andrea Leoncini Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, SwitzerlandSearch for more papers by this author Simone Schiaffino, Corresponding Author Simone Schiaffino [email protected] orcid.org/0000-0003-4243-888X Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland Correspondence: Simone Schiaffino ([email protected])Search for more papers by this authorAndrea Leoncini, Andrea Leoncini Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, SwitzerlandSearch for more papers by this author First published: 22 August 2025 https://doi.org/10.1002/jmri.70078Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookxLinkedInRedditWechatBluesky No abstract is available for this article. References 1M. Barzegar and S. Schiaffino, "Editorial for "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b -Value Diffusion-Weighted MRI"," Journal of Magnetic Resonance Imaging 59 (2024): 1436–1437, https://doi.org/10.1002/jmri.28908. 10.1002/jmri.28908 PubMed Web of Science® Google Scholar 2M. G. Davey, M. S. Davey, M. R. Boland, É. J. Ryan, A. J. Lowery, and M. J. Kerin, "Radiomic Differentiation of Breast Cancer Molecular Subtypes Using Pre-Operative Breast Imaging – A Systematic Review and Meta-Analysis," European Journal of Radiology 144 (2021): 109996, https://doi.org/10.1016/j.ejrad.2021.109996. 10.1016/j.ejrad.2021.109996 PubMed Web of Science® Google Scholar 3P. Tarantino, G. Curigliano, and S. M. 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