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



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



Neurosurgery 57(6): 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).

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Accession: 012439092

Download citation: RISBibTeXText

PMID: 16331165

DOI: 10.1227/01.neu.0000186013.63046.6b


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