Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

PURPOSE: To construct a multi-institutional radiomic model that supports upfront prediction of progression-free survival (PFS) and recurrence pattern (RP) in patients diagnosed with glioblastoma multiforme (GBM) at the time of initial diagnosis. PATIENTS AND METHODS: We retrospectively identified da...

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Detalhes bibliográficos
Publicado no:JCO Clin Cancer Inform
Main Authors: Fathi Kazerooni, Anahita, Akbari, Hamed, Shukla, Gaurav, Badve, Chaitra, Rudie, Jeffrey D., Sako, Chiharu, Rathore, Saima, Bakas, Spyridon, Pati, Sarthak, Singh, Ashish, Bergman, Mark, Ha, Sung Min, Kontos, Despina, Nasrallah, MacLean, Bagley, Stephen J., Lustig, Robert A., O’Rourke, Donald M., Sloan, Andrew E., Barnholtz-Sloan, Jill S., Mohan, Suyash, Bilello, Michel, Davatzikos, Christos
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Clinical Oncology 2020
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ORIGINAL REPORTS
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7113126/
https://ncbi.nlm.nih.gov/pubmed/32191542
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.19.00121
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