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

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

Join Here