Abstract #0420

A radiomic signature for predicting recurrence of FLAIR abnormality in glioblastomas using multi-modal MRI

Tanay Chougule¹, Rakesh Gupta², Jitender Saini³, Shaleen Agarwal⁴, Rana Patir⁴, and Madhura Ingalhalikar¹

¹Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India, ²Department of Radiology, Fortis Hospital, Gurgaon, India, ³Department of Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India, ⁴Radiation Oncology and Neurosurgery, Fortis Hospital, Gurgaon, India

Standard post-operative radiation therapy in glioblastoma delivers radiation uniformly across the hyper-intense areas from pre-operative FLAIR images and does not account for the regions where the infiltration might relapse. This work creates a non-invasive prognostic signature of the extent of recurrent hyper-intense FLAIR using radiomics features extracted from multi-modal MRI. Results demonstrate that the area of recurrence can be accurately predicted earlier with some radiomic features as beacon of recurrence than others when tested temporally across multiple time-points.

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