Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

@article{Itakura2015MagneticRI,
  title={Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities},
  author={Haruka Itakura and Achal S. Achrol and Lex A. Mitchell and J J Loya and Tiffany Liu and E M Westbroek and Abdullah H Feroze and S A Rodriguez and Sebastian Echegaray and Tej D Azad and Kristen W. Yeom and Sandy Napel and Daniel L. Rubin and Steven D Chang and G R Harsh and Olivier Gevaert},
  journal={Science Translational Medicine},
  year={2015},
  volume={7},
  pages={303ra138-303ra138}
}
Glioblastoma (GBM) is the most common and highly lethal primary malignant brain tumor in adults. There is a dire need for easily accessible, noninvasive biomarkers that can delineate underlying molecular activities and predict response to therapy. To this end, we sought to identify subtypes of GBM, differentiated solely by quantitative magnetic resonance (MR) imaging features, that could be used for better management of GBM patients. Quantitative image features capturing the shape, texture, and… CONTINUE READING
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