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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...
में बचाया:
| में प्रकाशित: | Neurooncol Adv |
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| मुख्य लेखकों: | , , , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Oxford University Press
2020
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7401381/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/noajnl/vdaa073.047 |
| टैग : |
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