Radiomic model for predicting mutations in the isocitrate dehydrogenase gene in glioblastomas

The present study proposed a computer-aided diagnosis system based on radiomic features extracted through magnetic resonance imaging to determine the isocitrate dehydrogenase status in glioblastomas. Magnetic resonance imaging data were obtained from 32 patients with wild-typeisocitrate dehydrogenas...

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Detalles Bibliográficos
Autores principales: Hsieh, Kevin Li-Chun, Chen, Cheng-Yu, Lo, Chung-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542235/
https://www.ncbi.nlm.nih.gov/pubmed/28526813
http://dx.doi.org/10.18632/oncotarget.17585

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542235/
https://www.ncbi.nlm.nih.gov/pubmed/28526813
http://dx.doi.org/10.18632/oncotarget.17585

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