Histopathology-validated machine learning radiographic biomarker for non-invasive discrimination between true progression and pseudo-progression in glioblastoma

PURPOSE: Imaging of glioblastoma patients after maximal safe resection and chemoradiation commonly demonstrates new enhancement concerning for true tumor progression (TP). However, in 30–50% of patients, this enhancement primarily represents treatment effect, or pseudo-progression (PsP). We hypothes...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Cancer
Egile Nagusiak: Akbari, Hamed, Rathore, Saima, Bakas, Spyridon, Nasrallah, MacLean P, Shukla, Gaurav, Mamourian, Elizabeth, Rozycki, Martin, Bagley, Stephen J, Rudie, Jeffrey D, Flanders, Adam E, Dicker, Adam P, Desai, Arati S., O’Rourke, Donald M., Brem, Steven, Lustig, Robert, Mohan, Suyash, Wolf, Ronald L., Bilello, Michel, Martinez-Lage, Maria, Davatzikos, Christos
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2020
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7893811/
https://ncbi.nlm.nih.gov/pubmed/32129893
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cncr.32790
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