{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:48:42Z","timestamp":1761490122419},"reference-count":46,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2016,10,25]],"date-time":"2016-10-25T00:00:00Z","timestamp":1477353600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["NIH P41 EB017183"],"award-info":[{"award-number":["NIH P41 EB017183"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2017,9]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>Diffusion\u2010weighted imaging (DWI) and <jats:sup>18<\/jats:sup>F\u2010fluorodeoxyglucose\u2013positron emission tomography (<jats:sup>18<\/jats:sup>F\u2010FDG\u2013PET) independently correlate with malignancy in breast cancer, but the relationship between their structural and metabolic metrics is not completely understood. This study spatially correlates diffusion, perfusion, and glucose avidity in breast cancer with simultaneous PET\/MR imaging and compares correlations with clinical prognostics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In this Health Insurance Portability and Accountability Act\u2010compliant prospective study, with written informed consent and approval of the institutional review board and using simultaneously acquired FDG\u2010PET and DWI, tissue diffusion (D<jats:sub>t<\/jats:sub>), and perfusion fraction (f<jats:sub>p<\/jats:sub>) from intravoxel incoherent motion (IVIM) analysis were registered to FDG\u2010PET within 14 locally advanced breast cancers. Lesions were analyzed using 2D histograms and correlation coefficients between D<jats:sub>t<\/jats:sub>, f<jats:sub>p<\/jats:sub>, and standardized uptake value (SUV). Correlations were compared with prognostics from biopsy, metastatic burden from whole\u2010body PET, and treatment history.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>SUV||D<jats:sub>t<\/jats:sub> correlation coefficient significantly distinguished treated (0.11 \u00b1 0.24) from nontreated (\u22120.33 \u00b1 0.26) patients (<jats:italic>P<\/jats:italic> = 0.005). SUV||f<jats:sub>p<\/jats:sub> correlations were on average negative for the whole cohort (\u22120.17 \u00b1 0.13).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Simultaneously acquired and registered FDG\u2010PET\/DWI allowed quantifiable descriptions of breast cancer microenvironments that may provide a framework for monitoring and predicting response to treatment. 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