Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

BACKGROUND: MRI characteristics of brain gliomas have been used to predict clinical outcome and molecular tumor characteristics. However, previously reported imaging biomarkers have not been sufficiently accurate or reproducible to enter routine clinical practice and often rely on relatively simple...

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Dades bibliogràfiques
Publicat a:Neuro Oncol
Autors principals: Macyszyn, Luke, Akbari, Hamed, Pisapia, Jared M., Da, Xiao, Attiah, Mark, Pigrish, Vadim, Bi, Yingtao, Pal, Sharmistha, Davuluri, Ramana V., Roccograndi, Laura, Dahmane, Nadia, Martinez-Lage, Maria, Biros, George, Wolf, Ronald L., Bilello, Michel, O'Rourke, Donald M., Davatzikos, Christos
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2016
Matèries:
Neuroimaging
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4767233/
https://ncbi.nlm.nih.gov/pubmed/26188015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/nov127
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