A machine learning‐based survival prediction model of high grade glioma by integration of clinical and dose‐volume histogram parameters

PURPOSE: Glioma is the most common type of primary brain tumor in adults, and it causes significant morbidity and mortality, especially in high‐grade glioma (HGG) patients. The accurate prognostic prediction of HGG is vital and helpful for clinicians when developing therapeutic strategies. Therefore...

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Detalles Bibliográficos
Autores principales: Chen, Haiyan, Li, Chao, Zheng, Lin, Lu, Wei, Li, Yanlin, Wei, Qichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Clinical Cancer Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026951/
https://www.ncbi.nlm.nih.gov/pubmed/33760360
http://dx.doi.org/10.1002/cam4.3838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026951/
https://www.ncbi.nlm.nih.gov/pubmed/33760360
http://dx.doi.org/10.1002/cam4.3838

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