59. A RADIOMICS-BASED MACHINE LEARNING MODEL FOR DISTINGUISHING RADIATION NECROSIS FROM PROGRESSION OF BRAIN METASTASES TREATED WITH STEREOTACTIC RADIOSURGERY (SRS)

PURPOSE: This study aims to test whether MRI radiomic signatures can distinguish radiation necrosis (RN) from tumor progression (TP) in a multi-institution dataset using machine learning. METHODS: Brain metastases treated with SRS were followed by serial MRI, and those showing evidence of RN or TP u...

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Detalles Bibliográficos
Autores principales: Chen, Xuguang, Parekh, Vishwa, Peng, Luke, Chan, Michael, Soike, Michael, McTyre, Emory, Jacobs, Michael, Kleinberg, Lawrence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Supplement Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401381/
http://dx.doi.org/10.1093/noajnl/vdaa073.047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401381/
http://dx.doi.org/10.1093/noajnl/vdaa073.047

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