Abstract #2128

Multicenter study of intravoxel incoherent motion (IVIM) metrics in breast cancer with software comparison.

Gene Young Cho^1,2,3, Elizabeth J Sutton², Linda Moy^1,3, Lucas Gennaro², Artem Mikheev^1,3, Henry Rusinek^1,3, James S Babb^1,3, Daniel K Sodickson^1,3, Elizabeth A Morris², Sunitha B Thakur², and Eric E Sigmund^1,3

¹Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, ²Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ³Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, United States

This study compares data collected from different MR vendor systems using different software packages to better understand the robustness and reproducibility of IVIM metrics. Patient data from 2 sites (Site 1 & 2) from 1.5/3T systems (GE/Siemens) were analyzed with 2 software packages to derive IVIM biomarkers and their intersite/software variability. Results show that metrics of IVIM average and histogram analysis are robust quantitative imaging biomarkers for breast cancer.

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