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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Detaylı Bibliyografya
Yayımlandı:Neuro Oncol
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2016
Konular:
Neuroimaging
Online Erişim: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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