Abstract #4327

Diffusion-weighted Intravoxel incoherent motion (IVIM) MRI and dynamic 18F-FDG-PET imaging in breast cancer patients via simultaneous PET/MR

Andrea Liu¹, Artem Mikheev^2,3, Eric Kim⁴, David S Rigie^2,3, Sylvia Adams⁵, Deborah Axelrod⁶, Henry Rusinek^2,3, Alto Stemmer⁷, Kimberly Jackson^2,3, Jean Logan^2,3, Linda A Moy⁴, Amy N Melsaether⁴, Sungheon G Kim^2,3, and Eric E Sigmund^2,3

¹New York University School of Medicine, New York, NY, United States, ²Bernard and Irene Schwartz Center for Biomedical Imaging, NYU Langone Medical Center, New York, NY, United States, ³Center for Advanced Imaging and Innovation (CAI2R), NYU Langone Medical Center, New York, NY, United States, ⁴Department of Radiology, NYU Langone Medical Center, New York, NY, United States, ⁵Department of Internal Medicine, NYU Langone Medical Center, New York, NY, United States, ⁶Department of Surgery, NYU Langone Medical Center, New York, NY, United States, ⁷Imaging and Therapy Division, Siemens AG, Healthcare Sector, Erlangen, Germany

Aggressive breast tumors possess heterogeneity that impacts successful diagnosis and treatment. Mapping this complexity with imaging biomarkers of different biologic specificity supports patient-specific management. We compare biomarkers from diffusion-weighted MRI (intravoxel incoherent motion (IVIM)) and ¹⁸F-fluorodeoxyglucose (FDG) PET (dynamic pharmacokinetic modeling) in 10 breast cancer patients in a simultaneous PET/MR system. Voxelwise correlations were performed to study intralesion relationships between biomarkers. Intralesion correlations were observed, such as between PET plasma transfer rate K₁and tissue diffusivity D_t, that also showed potential diagnostic value in tumor classification. This feasibility study establishes a workflow that enables more detailed investigation in larger cohorts.

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