Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies

OBJECTIVE: Monitoring biomarkers using machine learning (ML) may determine glioblastoma treatment response. We systematically reviewed quality and performance accuracy of recently published studies. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Diagnostic Tes...

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Detalles Bibliográficos
Autores principales: Booth, Thomas C., Grzeda, Mariusz, Chelliah, Alysha, Roman, Andrei, Al Busaidi, Ayisha, Dragos, Carmen, Shuaib, Haris, Luis, Aysha, Mirchandani, Ayesha, Alparslan, Burcu, Mansoor, Nina, Lavrador, Jose, Vergani, Francesco, Ashkan, Keyoumars, Modat, Marc, Ourselin, Sebastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842649/
https://www.ncbi.nlm.nih.gov/pubmed/35174084
http://dx.doi.org/10.3389/fonc.2022.799662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842649/
https://www.ncbi.nlm.nih.gov/pubmed/35174084
http://dx.doi.org/10.3389/fonc.2022.799662

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