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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Neurooncol Adv
Hauptverfasser: Chen, Xuguang, Parekh, Vishwa, Peng, Luke, Chan, Michael, Soike, Michael, McTyre, Emory, Jacobs, Michael, Kleinberg, Lawrence
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2020
Schlagworte:
Supplement Abstracts
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7401381/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/noajnl/vdaa073.047
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge