Literature DB >> 19852584

The status of the fourth ventricle and ambient cisterns predict outcome in moderate and severe traumatic brain injury.

Bram Jacobs1, Tjemme Beems, Ton M van der Vliet, George F Borm, Pieter E Vos.   

Abstract

Computed tomography (CT) of the head has become the diagnostic tool of choice, particularly for moderate and severe traumatic brain injury (TBI). Various CT characteristics are associated with outcome, and may therefore be used as outcome predictors. One of the most prominent predictors appears to be the status of the basal cisterns. This study describes the prognostic value of the appearance of individual cisterns and ventricles in relation to that of the basal cisterns. Further, we determine the interrater and intrarater reliability in the evaluation of the cisterns and ventricles. All consecutive moderate and severe adult TBI patients admitted to our hospital were included in this study as part of the prospective Radboud University Brain Injury Cohort Study (RUBICS). Outcome was assessed at 6 months post-trauma using the Glasgow Outcome Scale-Extended (GOS-E). The predictive value of cisterns and ventricles was determined using multivariate binary logistic regression analysis. We included 126 moderate and 574 severe TBI patients. Absence (complete obliteration), but also compression of the ambient cisterns and/or the fourth ventricle were strongly related to unfavorable outcome and death and emerged as the only significant outcome predictors after multivariate analysis. The assessment of the ambient cisterns and the fourth ventricle had a satisfactory inter- and intrarater reliability (kappa coefficients: 0.80-0.95). We conclude that, because obliteration of the ambient cisterns and the fourth ventricle both are better than the status of the basal cisterns as outcome predictors, they might be used in CT prediction models in cases of moderate and severe TBI.

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Year:  2010        PMID: 19852584     DOI: 10.1089/neu.2009.1105

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  6 in total

1.  Quantitative CT improves outcome prediction in acute traumatic brain injury.

Authors:  Esther L Yuh; Shelly R Cooper; Adam R Ferguson; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2011-12-08       Impact factor: 5.269

2.  Outcome prediction in moderate and severe traumatic brain injury: a focus on computed tomography variables.

Authors:  Bram Jacobs; Tjemme Beems; Ton M van der Vliet; Arie B van Vugt; Cornelia Hoedemaekers; Janneke Horn; Gaby Franschman; Ian Haitsma; Joukje van der Naalt; Teuntje M J C Andriessen; George F Borm; Pieter E Vos
Journal:  Neurocrit Care       Date:  2013-08       Impact factor: 3.210

3.  Neuroanatomical predictors of awakening in acutely comatose patients.

Authors:  Robert G Kowalski; Manuel M Buitrago; Josh Duckworth; Zachary D Chonka; H Adrian Puttgen; Robert D Stevens; Romergryko G Geocadin
Journal:  Ann Neurol       Date:  2015-03-13       Impact factor: 10.422

4.  Lateral Ventricle Volume Asymmetry Predicts Midline Shift in Severe Traumatic Brain Injury.

Authors:  Arnold Tóth; Ilona Schmalfuss; Shelley C Heaton; Andrea Gabrielli; H Julia Hannay; Linda Papa; Gretchen M Brophy; Kevin K W Wang; András Büki; Attila Schwarcz; Ronald L Hayes; Claudia S Robertson; Steven A Robicsek
Journal:  J Neurotrauma       Date:  2015-05-19       Impact factor: 5.269

5.  Acute Imaging Findings Predict Recovery of Cognitive and Motor Function after Inpatient Rehabilitation for Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study.

Authors:  Eric T Caliendo; Nayoung Kim; David Edasery; Gulce Askin; Sophie Nowak; Linda M Gerber; Katherine T Baum; Laura S Blackwell; Christine H Koterba; Kristen R Hoskinson; Brad G Kurowski; Matthew McLaughlin; Sarah J Tlustos; William D Watson; Sumit N Niogi; Stacy J Suskauer; Sudhin A Shah
Journal:  J Neurotrauma       Date:  2021-03-01       Impact factor: 4.869

6.  Evaluation of Computed Tomography Scoring Systems in the Prediction of Short-Term Mortality in Traumatic Brain Injury Patients from a Low- to Middle-Income Country.

Authors:  Matheus Rodrigues de Souza; Mayra Aparecida Côrtes; Gustavo Carlos Lucena da Silva; Davi Jorge Fontoura Solla; Eryanne Garcia Marques; Wellithon Luz Oliveira Junior; Caroline Ferreira Fagundes; Manoel Jacobsen Teixeira; Robson Luis Oliveira de Amorim; Andres M Rubiano; Angelos G Kolias; Wellingson Silva Paiva
Journal:  Neurotrauma Rep       Date:  2022-04-14
  6 in total

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