SUMMARY
Glioblastoma (GBM) is the most aggressive glioma with poor prognosis due to its heterogeneity. The purpose of this study is to improve the tissue characterization of these highly heterogeneous tumors using delta-radiomic features of dynamic susceptibility contrast enhanced (DSC) MR images, which are commonly used to derive blood perfusion to the tumor, with machine learning approaches.