Recurrent glioblastoma: optimum area under the curve method derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.

@article{Chung2013RecurrentGO,
  title={Recurrent glioblastoma: optimum area under the curve method derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.},
  author={Won Jung Chung and Ho Sung Kim and Namkug Kim and Choong Gon Choi and S J Kim},
  journal={Radiology},
  year={2013},
  volume={269 2},
  pages={561-8}
}
PURPOSE To determine whether the ratio of the initial area under the time-signal intensity curve (AUC) (IAUC) to the final AUC--or AUCR--derived from dynamic contrast material-enhanced magnetic resonance (MR) imaging can be an imaging biomarker for distinguishing recurrent glioblastoma multiforme (GBM) from radiation necrosis and to compare the diagnostic accuracy of the AUCR with commonly used model-free dynamic contrast-enhanced MR imaging parameters. MATERIALS AND METHODS The institutional… CONTINUE READING

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tinguishing recurrent high - grade gliomas from radiation injury : a pilot study using dynamic contrast - enhanced MR imaging

S Bisdas, T Naegele, R Ritz
Acad Radiol • 2011
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