samples/Outcome-Predictors_description.txt

The manuscript in which this dataset is used correlates patient
survival with morphologic imaging features and hemodynamic parameters
obtained from the non-enhancing region (NER) of glioblastoma (GBM),
along with clinical and genomic markers. Forty-five patients with GBM
underwent baseline imaging with contrast material-enhanced magnetic
resonance (MR) imaging and dynamic susceptibility contrast-enhanced
T2*-weighted perfusion MR imaging. Molecular and clinical predictors
of survival were obtained. Single and multivariable models of overall
survival (OS) and progression-free survival (PFS) were explored with
Kaplan-Meier estimates, Cox regression, and random survival
forests. This dataset correlates with images on the TCIA web portal
and includes supplemental data including clinical, genomic, and
radiologist derived information from
JainPoisson_2014_Radiology_Dataset.xlsx. The xlsx file contains 2
sheets: the dataset, and a second worksheet of descriptions of the
variables.