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Abstract #0661

Quantification of hepatocellular carcinoma tumor heterogeneity with multiparametric MRI

Stefanie Hectors1, Mathilde Wagner1, Octavia Bane1, Cecilia Besa1, Sara Lewis2, Romain Remark3, Nelson Chen1, M. Isabel Fiel4, Hongfa Zhu4, Sacha Gnjatic5, Miriam Merad3, Yujin Hoshida6, 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, United States, 3Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Oncological Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Department of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States

We assessed tumor heterogeneity in hepatocellular carcinoma using multiparametric MRI (mpMRI) combining DWI, BOLD-MRI, TOLD-MRI and DCE-MRI measurements. Histogram characteristics (central tendency parameters mean and median and heterogeneity parameters standard deviation, kurtosis and skewness) of mpMRI data were quantified in the lesions and correlated between MRI methods and with histopathology and gene expression levels in a subset of patients. We observed that central tendency and heterogeneity parameters were largely complementary in terms of the assessed correlations. The proposed histogram analysis is therefore promising for noninvasive HCC characterization on the functional, immunohistochemical and genomics level.

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