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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here