Variability and accuracy of different software packages for dynamic susceptibility contrast magnetic resonance imaging for distinguishing glioblastoma progression from pseudoprogression

@article{Kelm2015VariabilityAA,
  title={Variability and accuracy of different software packages for dynamic susceptibility contrast magnetic resonance imaging for distinguishing glioblastoma progression from pseudoprogression},
  author={Zachary S Kelm and Panagiotis Korfiatis and Ravi K. Lingineni and John R. Daniels and Jan C. Buckner and Daniel H. Lachance and Ian F. Parney and Rickey E. Carter and Bradley James Erickson},
  journal={Journal of Medical Imaging},
  year={2015},
  volume={2}
}
Abstract. Determining whether glioblastoma multiforme (GBM) is progressing despite treatment is challenging due to the pseudoprogression phenomenon seen on conventional MRIs, but relative cerebral blood volume (CBV) has been shown to be helpful. As CBV’s calculation from perfusion-weighted images is not standardized, we investigated whether there were differences between three FDA-cleared software packages in their CBV output values and subsequent performance regarding predicting survival… 
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