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Abstract #1998

Characterization of Primary Liver Cancers with DWI Histogram Analysis

Sara Lewis1, Steven Peti2, Stefanie Hectors1, Michael King2, Juan Putra3, Swan Thung3, and Bachir Taouli1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 3Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

ADC measurement using DWI have shown promise for characterizing focal liver lesions. In this study, we assessed the ability of advanced ADC histogram parameters to distinguish the histological diagnosis and the grade of primary malignant liver cancers. We found that both ADC mean and ADC percentiles could distinguish between tumor types; ADC percentiles were also predictive of tumor grade for HCC and ICC. Advanced ADC histogram analysis may be useful for accurate tumor diagnosis and prediction of tumor grade.

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