P10.24.B PREDICTION OF PCFDNA LEVELS, PROGRESSION-FREE SURVIVAL, AND OVERALL SURVIVAL THROUGH MACHINE-LEARNING MODELS BASED ON MRI-DERIVED RADIOMIC FEATURES IN PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA
Gianluca Nocera, Nicolò Pecco, Vasco Pieri, L. Palazzo, Francesco D’Oria, Pasquale Anthony Della Rosa, Michele Bailo, Gaetano Finocchiaro, Pietro Mortini, Andrea Falini, Massimo Filippi, Giulia Berzero, Antonella Castellano (2024). P10.24.B PREDICTION OF PCFDNA LEVELS, PROGRESSION-FREE SURVIVAL, AND OVERALL SURVIVAL THROUGH MACHINE-LEARNING MODELS BASED ON MRI-DERIVED RADIOMIC FEATURES IN PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA. , 26(Supplement_5), DOI: https://doi.org/10.1093/neuonc/noae144.200.
