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Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

  • Fathi Kazerooni A
  • Akbari H
  • Shukla G
  • et al.
JCO Clinical Cancer Informatics (2020) (4) 234-244
DOI: 10.1200/cci.19.00121
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Abstract

PURPOSETo construct a multi-institutional radiomic model that supports upfront prediction of progression-free survival (PFS) and recurrence pattern (RP) in patients diagnosed with glioblastoma mult...

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Fathi Kazerooni, A., Akbari, H., Shukla, G., Badve, C., Rudie, J. D., Sako, C., … Davatzikos, C. (2020). Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma. JCO Clinical Cancer Informatics, (4), 234–244. https://doi.org/10.1200/cci.19.00121

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