Deep learning for prediction of isocitrate dehydrogenase mutation in gliomas: a critical approach, systematic review and meta-analysis of the diagnostic test performance using a Bayesian approach

BACKGROUND: Conventionally, identifying isocitrate dehydrogenase (IDH) mutation in gliomas is based on histopathological analysis of tissue specimens acquired via stereotactic biopsy or definitive resection. Accurate pre-treatment prediction of IDH mutation status using magnetic resonance imaging (M...

Descripción completa

Detalles Bibliográficos
Autores principales: Karabacak, Mert, Ozkara, Burak Berksu, Mordag, Seren, Bisdas, Sotirios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338374/
https://www.ncbi.nlm.nih.gov/pubmed/35919062
http://dx.doi.org/10.21037/qims-22-34

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338374/
https://www.ncbi.nlm.nih.gov/pubmed/35919062
http://dx.doi.org/10.21037/qims-22-34

Ejemplares similares