ID
23144
Description
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
Keywords
Versions (2)
- 6/25/17 6/25/17 -
- 1/25/18 1/25/18 -
Copyright Holder
Andrew Maas
Uploaded on
June 25, 2017
DOI
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License
Creative Commons BY-NC 3.0
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