Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
Abstract We aimed to investigate the feasibility of machine learning (ML) algorithm to distinguish pseudoprogression (PsPD) from progression (PD) in patients with glioblastoma (GBM). We recruited the patients diagnosed as primary GBM who received gross total resection (GTR) and concurrent chemoradio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-018-31007-2 |