Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.

@article{Yang2015EvaluationOT,
  title={Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.},
  author={Dalu Yang and Ganesh Rao and Juan Jos{\'e} Martinez and Ashok Veeraraghavan and Arvind U. K. Rao},
  journal={Medical physics},
  year={2015},
  volume={42 11},
  pages={
          6725-35
        }
}
PURPOSE Glioblastoma multiforme (GBM) is the most common and aggressive primary brain cancer. Four molecular subtypes of GBM have been described but can only be determined by an invasive brain biopsy. The goal of this study is to evaluate the utility of texture features extracted from magnetic resonance imaging (MRI) scans as a potential noninvasive method to characterize molecular subtypes of GBM and to predict 12-month overall survival status for GBM patients. METHODS The authors manually… CONTINUE READING
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