A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI

Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The objective of this study was to develop machine learning...

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Detalles Bibliográficos
Autores principales: Ammari, Samy, Sallé de Chou, Raoul, Balleyguier, Corinne, Chouzenoux, Emilie, Touat, Mehdi, Quillent, Arnaud, Dumont, Sarah, Bockel, Sophie, Garcia, Gabriel C. T. E., Elhaik, Mickael, Francois, Bidault, Borget, Valentin, Lassau, Nathalie, Khettab, Mohamed, Assi, Tarek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624566/
https://www.ncbi.nlm.nih.gov/pubmed/34829395
http://dx.doi.org/10.3390/diagnostics11112043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624566/
https://www.ncbi.nlm.nih.gov/pubmed/34829395
http://dx.doi.org/10.3390/diagnostics11112043

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