Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.

@article{Hormuth2015PredictingIV,
  title={Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.},
  author={David A. Hormuth and Jared A. Weis and Stephanie L. Barnes and Michael I. Miga and Erin C. Rericha and Vito Quaranta and Thomas E. Yankeelov},
  journal={Physical biology},
  year={2015},
  volume={12 4},
  pages={046006}
}
Reaction-diffusion models have been widely used to model glioma growth. However, it has not been shown how accurately this model can predict future tumor status using model parameters (i.e., tumor cell diffusion and proliferation) estimated from quantitative in vivo imaging data. To this end, we used in silico studies to develop the methods needed to accurately estimate tumor specific reaction-diffusion model parameters, and then tested the accuracy with which these parameters can predict… CONTINUE READING

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