Gene Young Cho1, 2, Linda Moy3, Scott DeGregorio3, Sungheon Kim1, Melanie Moccaldi3, Jane Kwon1, Steven Baete1, Daniel K. Sodickson1, Eric E. Sigmund1
1Radiology, NYU School of Medicine - Schwartz Center for Biomedical Imaging, New York, NY, United States; 2Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY, United States; 3Radiology, NYU School of Medicine, New York, NY, United States
Diffusion-weighted imaging (DWI) can play an important role in cancer management as it is sensitive to both vascular and cellular components of tumors via intravoxel incoherent motion (IVIM) analysis. Data processing algorithms for IVIM analysis can be optimized by filtered voxelwise analysis of the IVIM parametric maps. In this study, we used highly sampled DWI data to perform voxel based analysis on biexponential IVIM parameters in a cohort of breast cancer patients at 3T and compared results with integrated ROI analysis, histological cancer subtype, and hormone receptor status.
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