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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Publié dans:JCO Clin Cancer Inform
Auteurs principaux: 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
Langue:Inglês
Publié: American Society of Clinical Oncology 2020
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ORIGINAL REPORTS
Accès en ligne: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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