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HomeRadiologyVol. 288, No. 1 PreviousNext Reviews and CommentaryEditorialPerfusion MR Imaging of Breast Cancer: Insights Using “Habitat Imaging”Robert J. Gillies , Yoganand BalagurunathanRobert J. Gillies , Yoganand BalagurunathanAuthor AffiliationsFrom the Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia St, SRB-4, Tampa, FL 33612.Address correspondence to R.J.G. (e-mail: [email protected]).Robert J. Gillies Yoganand BalagurunathanPublished Online:May 1 2018https://doi.org/10.1148/radiol.2018180271MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Hanahan D, Weinberg RA, Hallmarks of cancer: the next generation, Cell 2011; 144(5):646–674. Crossref, Medline, Google Scholar2. Reuben A, Spencer CN, Prieto PA, et al. Genomic and immune heterogeneity are associated with differential responses to therapy in melanoma. NPJ Genom Med 2017;2. 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Google ScholarArticle HistoryReceived January 31, 2018; revision requested February 5; final version accepted February 6.Published online: May 01 2018Published in print: July 2018 FiguresReferencesRelatedDetailsCited ByDiffusion MRI of the BreastRitseMann2023Breast MRI: Where are we currently standing?HaralabosBougias, NikolaosStogiannos2022 | Journal of Medical Imaging and Radiation Sciences, Vol. 53, No. 2High-dimensional role of AI and machine learning in cancer researchEnricoCapobianco2022 | British Journal of Cancer, Vol. 126, No. 4Habitat Analysis of Breast Cancer-Enhanced MRI Reflects BRCA1 Mutation Determined by ImmunohistochemistryTianmingDu, HaidongZhao, ChenLi2022 | BioMed Research International, Vol. 2022The potential of predictive and prognostic breast MRI (P2-bMRI)MatthiasDietzel, Rubina ManuelaTrimboli, MorenoZanardo, RüdigerSchultz-Wendtland, MichaelUder, PaolaClauser, FrancescoSardanelli, Pascal A. 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