OTEH-6. Algorithmic approach to characterize post-treatment recurrent glioma using RNA sequencing and quantitative histopathology

INTRODUCTION: Distinguishing between tumor and treatment effect in post-treatment glioma, although crucial for clinical management, is difficult because contrast-enhancing regions are mixtures of recurrent tumor and reactive tissue, and definitive histopathological criteria do not exist. This study...

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Detalles Bibliográficos
Autores principales: Argenziano, Michael, Save, Akshay, Boyett, Deborah, Grinband, Jack, Yoon, Hyunsoo, Li, Jing, Banu, Matei, McKhann, Guy, Sisti, Michael, Swanson, Kristin, Bruce, Jeffrey, Canoll, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Supplement Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264952/
http://dx.doi.org/10.1093/noajnl/vdab070.045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264952/
http://dx.doi.org/10.1093/noajnl/vdab070.045

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