ID

28637

Descripción

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. Maas et al.(2005) aimed to examine the predictive value of the Marshall CT classification in comparison with alternative CT models. It is preferable to use combinations of individual CT predictors rather than the Marshall CT classification for prognostic purposes in TBI. Such models should include at least the following parameters: status of basal cisterns, shift, traumatic subarachnoid or intraventricular hemorrhage, and presence of different types of mass lesions. Maas AIR, Hukkelhoven CWPM, Marshall LF, Steyerberg EW. (2005) 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

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Versiones (2)

1. 25/6/17 25/6/17 -
2. 25/1/18 25/1/18 -

Titular de derechos de autor

Andrew Maas

Subido en

25 de enero de 2018

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