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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Neuro Oncol
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2016
Aiheet:
Neuroimaging
Linkit: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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