IMG-20. RADIOMIC FEATURES IMPROVE PROGNOSTICATION OVER CONVENTIONAL MR DERIVED QUALITATIVE DESCRIPTORS IN PEDIATRIC SUPRATENTORIAL HIGH GRADE GLIOMA: COMPARISON OF MACHINE LEARNING TECHNIQUES

PURPOSE/OBJECTIVES: Pediatric supratentorial high-grade glioma (stHGG) is a biologically heterogeneous disease defined by unique mutations, natural history and prognosis. Prior work by our group outlined a role for qualitative imaging features in aiding prognostication. We build on that work by eval...

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Detalles Bibliográficos
Autores principales: Lucas, John, Hsu, Chih-Yang, Becksfort, Jared, Hwang, Scott, Lu, Zhaohua, Wang, Yichuan, Chiang, Jason, Tinkle, Christopher, Gajjar, Amar, Merchant, Thomas, Patay, Zoltan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715418/
http://dx.doi.org/10.1093/neuonc/noaa222.355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715418/
http://dx.doi.org/10.1093/neuonc/noaa222.355

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