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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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Bibliografische gegevens
Gepubliceerd in:JCO Clin Cancer Inform
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Society of Clinical Oncology 2020
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Online toegang: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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