Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors.

@article{Maas2005PredictionOO,
  title={Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors.},
  author={Andrew I. R. Maas and Chantal W.P.M. Hukkelhoven and L. F. Marshall and Ewout Willem Steyerberg},
  journal={Neurosurgery},
  year={2005},
  volume={57 6},
  pages={
          1173-82; discussion 1173-82
        }
}
BACKGROUND AND OBJECTIVE The Marshall computed tomographic (CT) classification identifies six groups of patients with traumatic brain injury (TBI), based on morphological abnormalities on the CT scan. This classification is increasingly used as a predictor of outcome. We aimed to examine the predictive value of the Marshall CT classification in comparison with alternative CT models. METHODS The predictive value was investigated in the Tirilazad trials (n = 2269). Alternative models were… CONTINUE READING

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Regional differences in patient characteristics , case management , and outcomes in traumatic brain injury : experience from the Tirilazad trials

  • Hukkelhoven CWP, EW Steyerberg, E Farace, JD Habbema, LF Marshall, AI Maas
  • J Neurosurg
  • 2002

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