Mixture model approach to tumor classification based on pharmacokinetic measures of tumor permeability.

@article{Spilker2005MixtureMA,
  title={Mixture model approach to tumor classification based on pharmacokinetic measures of tumor permeability.},
  author={Mary E. Spilker and Kok-Yong Seng and Amy A Yao and Heike E. Daldrup-Link and David M. Shames and Robert C. Brasch and Paolo Vicini},
  journal={Journal of magnetic resonance imaging : JMRI},
  year={2005},
  volume={22 4},
  pages={549-58}
}
PURPOSE To categorize the disease severity of mammary tumors in an animal model through the application of a novel tumor permeability mixture model within a hierarchical modeling framework. MATERIALS AND METHODS Thirty-six rats with mammary tumors of varying grade were imaged via dynamic contrast-enhanced (CE) MRI using albumin-(Gd-DTPA)30. Time-dependent contrast agent concentration curves for blood and tumor tissue were obtained and a mathematical model of microvascular blood-tissue… CONTINUE READING