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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Foilsithe in:Neuro Oncol
Main Authors: 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
Formáid: Artigo
Teanga:Inglês
Foilsithe: Oxford University Press 2016
Ábhair:
Neuroimaging
Rochtain Ar Líne: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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