Abstract #2334

Directional-gradient based radiomic descriptors from pre-treatment perfusion DSC-MRI to differentiate long-term from short-term survivors in Glioblastoma: Preliminary findings

Bolin Song¹, Ramon correa¹, Prateek Prasanna¹, Niha Beig¹, Anant Madabhushi¹, and Pallavi Tiwari¹

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

We explored the utility of radiomic analysis to identify radiomic features (computer extracted features from MRI) that distinguish long-term survival patients from their short-term survival counterparts based on the pre-treatment perfusion DSC-MRI. Initial results indicate that dynamically extracted radiomic features from enhancing tumor and infiltrative edges on perfusion scans can segregate the 2 survival groups. A non-invasive means of predicting survival based on perfusion imaging may help clinicians to determine prognosis, and inform treatment strategy.

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