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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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Bibliografiska uppgifter
I publikationen:JCO Clin Cancer Inform
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: American Society of Clinical Oncology 2020
Ämnen:
Länkar: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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