LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL PREDICTION IN PATIENTS WITH PEDIATRIC LOW-GRADE GLIOMA

Pediatric low-grade gliomas (pLGGs) have heterogeneous outcomes, making individualized clinical decision-making challenging. Imaging-based biomarkers for progression and/or recurrence may better risk-stratify pLGG patients and guide management. We developed and externally validated a deep learning (...

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Detalles Bibliográficos
Autores principales: Zapaishchykova, Anna, Hayat, Hasaan, Ye, Zezhong, Vajapeyam, Sridhar, Chopra, Rishi Balraj, Boyd, Aidan, Liu, Kevin X, Aerts, Hugo J W L, Bandopadhayay, Pratiti, Haas-Kogan, Daphne A, Nabavidazeh, Ali, Resnick, Adam C, Mueller, Sabine, Poussaint, Tina Y, Cooney, Tabitha M, Kann, Benjamin H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Final Category: Low Grade Gliomas - LGG
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260001/
http://dx.doi.org/10.1093/neuonc/noad073.215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260001/
http://dx.doi.org/10.1093/neuonc/noad073.215

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