Predicting survival in glioblastoma with multimodal neuroimaging and machine learning

PURPOSE: Glioblastoma (GBM) is the most common and aggressive malignant glioma, with an overall median survival of less than two years. The ability to predict survival before treatment in GBM patients would lead to improved disease management, clinical trial enrollment, and patient care. METHODS: GB...

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Detalles Bibliográficos
Autores principales: Luckett, Patrick H., Olufawo, Michael, Lamichhane, Bidhan, Park, Ki Yun, Dierker, Donna, Verastegui, Gabriel Trevino, Yang, Peter, Kim, Albert H., Chheda, Milan G., Snyder, Abraham Z., Shimony, Joshua S., Leuthardt, Eric C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522528/
https://www.ncbi.nlm.nih.gov/pubmed/37668941
http://dx.doi.org/10.1007/s11060-023-04439-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522528/
https://www.ncbi.nlm.nih.gov/pubmed/37668941
http://dx.doi.org/10.1007/s11060-023-04439-8

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