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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Bibliographic Details
Published in: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
Format: Artigo
Language:Inglês
Published: American Society of Clinical Oncology 2020
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ORIGINAL REPORTS
Online Access: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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