Nimg-39. Radiomic Analysis for Non-Invasive in Vivo Prognostic Stratification of De Novo Glioblastoma Patients: A Multi-Institutional Evaluation for Generalizability in the Respond Consortium
Abstract:PURPOSE
Multi-parametric MRI based radiomic signatures have highlighted the promise of artificial intelligence (AI) in neuro-oncology. However, inter-institution heterogeneity hinders generalization to data from unseen clinical institutions. To this end, we formulated the ReSPOND (Radiomics Signatures for PrecisiON Diagnostics) consortium for glioblastoma. Here, we seek non-invasive generalizable radiomic signatures from routine clinically-acquired MRI for prognostic stratification of gliobla… Show more
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