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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Vydáno v:Neuro Oncol
Hlavní autoři: Chen, Xuguang, Parekh, Vishwa, peng, Luke, Chan, Michael, Soike, Michael, McTyre, Emory, Jacobs, Michael, Kleinberg, Lawrence
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
Témata:
Clinical Radiotherapy
On-line přístup: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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