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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2020
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113126/
https://www.ncbi.nlm.nih.gov/pubmed/32191542
http://dx.doi.org/10.1200/CCI.19.00121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113126/
https://www.ncbi.nlm.nih.gov/pubmed/32191542
http://dx.doi.org/10.1200/CCI.19.00121

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