NIMG-70. QUANTITATIVE IMAGE ANALYSIS AND MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN PATIENTS WITH GLIOBLASTOMA

PURPOSE: Imaging follow up of glioblastoma patients, after maximal safe resection and radiochemotherapy, commonly demonstrates new/increasing enhancement around the tumor bed concerning for tumor progression/recurrence (TP). However, in ~50%, this enhancement represents primarily treatment-related c...

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Dettagli Bibliografici
Pubblicato in:Neuro Oncol
Autori principali: Akbari, Hamed, Rathore, Saima, Bakas, Spyridon, Nasrallah, MacLean, Rozycki, Martin, Mohan, Suyash, Wolf, Ronald, Bilello, Michel, Martinez-Lage, Maria, Davatzikos, Christos
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2018
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Abstracts
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6216519/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noy148.794
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