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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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