Non-Invasive Prediction of Survival Time of Midline Glioma Patients Using Machine Learning on Multiparametric MRI Radiomics Features

OBJECTIVES: To explore the feasibility of predicting overall survival (OS) of patients with midline glioma using multi-parameter magnetic resonance imaging (MRI) features. METHODS: Data of 84 patients with midline gliomas were retrospectively collected, including 40 patients with OS > 12 months (...

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Detalles Bibliográficos
Autores principales: Deng, Da-Biao, Liao, Yu-Ting, Zhou, Jiang-Fen, Cheng, Li-Na, He, Peng, Wu, Sheng-Nan, Wang, Wen-Sheng, Zhou, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108285/
https://www.ncbi.nlm.nih.gov/pubmed/35585843
http://dx.doi.org/10.3389/fneur.2022.866274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108285/
https://www.ncbi.nlm.nih.gov/pubmed/35585843
http://dx.doi.org/10.3389/fneur.2022.866274

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