Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning

BACKGROUND: Diffuse midline gliomas (DMG) are aggressive pediatric brain tumors. MRI is the standard non-invasive tool for DMG diagnosis and monitoring. We developed an automatic pipeline to segment subregions of DMG and select radiomic features to predict patient overall survival (OS). METHODS: We...

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Detalles Bibliográficos
Autores principales: Liu, Xinyang, Jiang, Zhifan, Roth, Holger R., Anwar, Syed Muhammad, Bonner, Erin R., Mahtabfar, Aria, Packer, Roger J., Kazerooni, Anahita Fathi, Bornhorst, Miriam, Linguraru, Marius George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635257/
https://www.ncbi.nlm.nih.gov/pubmed/37961086
http://dx.doi.org/10.1101/2023.11.01.23297935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635257/
https://www.ncbi.nlm.nih.gov/pubmed/37961086
http://dx.doi.org/10.1101/2023.11.01.23297935

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