RADT-14. COMPARISON OF MACHINE LEARNING ALGORITHMS IN DISTINGUISHING RADIATION NECROSIS FROM PROGRESSION OF BRAIN METASTASES TREATED WITH STEREOTACTIC RADIOSURGERY (SRS)

PURPOSE: To test the effectiveness of machine learning algorithms in distinguishing radiation necrosis (RN) from tumor progression (TP) using MRI radiomic features. METHODS: Brain metastases were treated with SRS to a median dose of 18Gy. Lesions that showed evidence of progression on follow-up MRI...

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Detalhes bibliográficos
Publicado no:Neuro Oncol
Main Authors: Chen, Xuguang, Parekh, Vishwa, peng, Luke, Chan, Michael, Soike, Michael, McTyre, Emory, Jacobs, Michael, Kleinberg, Lawrence
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Clinical Radiotherapy
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7651067/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa215.767
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