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Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab
Anti-angiogenic therapy with bevacizumab is a widely used therapeutic option for recurrent glioblastoma (GBM). Nevertheless, the therapeutic response remains highly heterogeneous among GBM patients with discordant outcomes. Recent data have shown that radiomics, an advanced recent imaging analysis m...
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| Gepubliceerd in: | Diagnostics (Basel) |
|---|---|
| Hoofdauteurs: | , , , , , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8305059/ https://ncbi.nlm.nih.gov/pubmed/34359346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11071263 |
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