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Abstract #0835

Radiomic features from enhancing tumor on pre-treatment multiparametric MRI scans are predictive of response to chemo-radiation therapy in Glioblastoma and are associated with histological phenotypes

Ruchika Verma1, Ramon Correa1, Virginia Hill2, Niha Beig1, Abdelkader Mahammedi1, Marwa Ismail1, Anant Madabhushi1, and Pallavi Tiwari1

1Case Western Reserve University, Cleveland, OH, United States, 2Cleveland Clinic, Cleveland, OH, United States

We presented the initial results of employing 3D radiomic descriptors from pre-treatment MP-MRI scans for tumor risk stratification based on patient’s response to chemo-radiation treatment. We demonstrated that the CoLlAGe (captures tumor heterogeneity) and Laws (captures Levels, waves, and ripple appearances) features from the enhancing region were most predictive of response to CRT. These features were also found to be associated with histologic attributes including cellular tumor, infiltrating tumor, and hyperplastic blood vessels, each of which is known to contribute to treatment resistance in the tumor microenvironment

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