Prognostic value of CT perfusion and permeability imaging in traumatic brain injury
- PMID: 33009337
- DOI: 10.1097/TA.0000000000002964
Prognostic value of CT perfusion and permeability imaging in traumatic brain injury
Abstract
Background: Currently established prognostic models in traumatic brain injury (TBI) include noncontrast computed tomography (CT) which is insensitive to early perfusion alterations associated with secondary brain injury. Perfusion CT (PCT) on the other hand offers insight into early perfusion abnormalities. We hypothesized that adding CT perfusion and permeability data to the established outcome predictors improves the performance of the prognostic model.
Methods: A prospective cohort study of consecutive 50 adult patients with head injury and Glasgow Coma Scale score of 12 or less was performed at a single Level 1 Trauma Centre. Perfusion CT was added to routine control CT 12 hours to 24 hours after admission. Region of interest analysis was performed in six major vascular territories on perfusion and permeability parametric maps. Glasgow Outcome Scale (GOS) was used 6 months later to categorize patients' functional outcomes to favorable (GOS score > 3) or unfavorable (GOS score ≤ 3). We defined core prognostic model, consisting of age, motor Glasgow Coma Scale score, pupillary reactivity, and CT Rotterdam Score. Next, we added perfusion and permeability data as predictors and compared updated models to the core model using cross-validated areas under the receiver operator curves (cv-AUC).
Results: Significant advantage over core model was shown by the model, containing both mean cerebral extravascular-extracellular volume per unit of tissue volume and cerebral blood volume of the least perfused arterial territory in addition to core predictors (cv-AUC, 0.75; 95% confidence interval, 0.51-0.84 vs. 0.6; 95% confidence interval, 0.37-0.74).
Conclusion: The development of cerebral ischemia and traumatic cerebral edema constitutes the secondary brain injury and represents the target for therapeutic interventions. Our results suggest that adding CT perfusion and permeability data to the established outcome predictors improves the performance of the prognostic model in the setting of moderate and severe TBI.
Level of evidence: Prognostic study, level III.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
References
-
- MRC CRASH Trial Collaborators Perel P, Arango M, Clayton T, et al. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ . 2008;336(7641):425–429.
-
- Kim JJ, Gean AD. Imaging for the diagnosis and management of traumatic brain injury. Neurotherapeutics . 2011;8(1):39–53.
-
- Rizoli S, Petersen A, Bulger E, Coimbra R, Kerby JD, Minei J, Morrison L, Nathens A, Schreiber M, de Oliveira Manoel AL; ROC Investigators. Early prediction of outcome after severe traumatic brain injury: a simple and practical model. BMC Emerg Med . 2016;16(1):32.
-
- Maas AI, Marmarou A, Murray GD, Teasdale SG, Steyerberg EW. Prognosis and clinical trial design in traumatic brain injury: the IMPACT study. J Neurotrauma . 2007;24(2):232–238.
-
- Maas AI, Hukkelhoven CW, Marshall LF, Steyerberg EW. 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 . 2005;57(6):1173–1182; discussion 1173-82.
Publication types
MeSH terms
LinkOut - more resources
Research Materials