Literature DB >> 9055281

Magnetic resonance imaging in relation to functional outcome of pediatric closed head injury: a test of the Ommaya-Gennarelli model.

H S Levin1, D Mendelsohn, M A Lilly, J Yeakley, J Song, R S Scheibel, H Harward, J M Fletcher, J A Kufera, K C Davidson, D Bruce.   

Abstract

OBJECTIVE: To characterize late neuropathological findings of pediatric closed head injury (CHI), to assess depth of brain lesion in relation to acute severity, and to assess long-term outcome to test the Ommaya-Gennarelli model.
METHODS: Magnetic resonance imaging (MRI) at least 3 months postinjury in a prospective sample (n 5 169) and at least 3 years after CHI in a retrospective sample (n 5 82) was studied. Lesion volume was measured by planimetry. Acute CHI severity was measured by the Glasgow Coma Scale. Patients were classified according to the depth of the deepest parenchymal lesion into no lesion, subcortical, and deep central gray/brain stem groups. The outcomes were assessed by the Glasgow Outcome Scale and the Vineland Adaptive Behavior Scale, which were performed at the time of the MRI in the retrospective sample and up to 3 years postinjury in the prospective sample.
RESULTS: Focal brain lesions were present in 55.4% of the total sample. Depth of brain lesion was directly related to severity of acute impairment of consciousness and inversely related to outcome, as measured by both the Glasgow Outcome Scale and the Vineland Adaptive Behavior Scale. A rostrocaudal gradient of hemispheric lesion frequency was observed, whereas the posterior lesions of the corpus callosum were particularly common. Total lesion volume could not explain the depth of lesion effect.
CONCLUSION: Our findings extend support for the Ommaya-Gennarelli model to pediatric CHI, indicating that depth of brain lesion is related to functional outcome. The relative frequency of focal brain lesions revealed by late MRI is higher than that of previous findings using acute computed tomography. Future investigations could explore whether depth of lesion observed using late MRI is sensitive to neuroprotective interventions.

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Year:  1997        PMID: 9055281     DOI: 10.1097/00006123-199703000-00002

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  30 in total

1.  Depth of lesion model in children and adolescents with moderate to severe traumatic brain injury: use of SPGR MRI to predict severity and outcome.

Authors:  M A Grados; B S Slomine; J P Gerring; R Vasa; N Bryan; M B Denckla
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-03       Impact factor: 10.154

2.  Traumatic brain injury and grey matter concentration: a preliminary voxel based morphometry study.

Authors:  S D Gale; L Baxter; N Roundy; S C Johnson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-07       Impact factor: 10.154

3.  Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury.

Authors:  W B Zheng; G R Liu; L P Li; R H Wu
Journal:  Neuroradiology       Date:  2007-01-04       Impact factor: 2.804

4.  Establishing a Clinically Relevant Large Animal Model Platform for TBI Therapy Development: Using Cyclosporin A as a Case Study.

Authors:  Susan S Margulies; Todd Kilbaugh; Sarah Sullivan; Colin Smith; Kathleen Propert; Melissa Byro; Kristen Saliga; Beth A Costine; Ann-Christine Duhaime
Journal:  Brain Pathol       Date:  2015-05       Impact factor: 6.508

5.  The effects of pediatric traumatic brain injury on verbal and visual-spatial working memory.

Authors:  Stephanie Gorman; Marcia A Barnes; Paul R Swank; Mary Prasad; Linda Ewing-Cobbs
Journal:  J Int Neuropsychol Soc       Date:  2011-10-12       Impact factor: 2.892

Review 6.  Neuroimaging after coma.

Authors:  Luaba Tshibanda; Audrey Vanhaudenhuyse; Mélanie Boly; Andrea Soddu; Marie-Aurelie Bruno; Gustave Moonen; Steven Laureys; Quentin Noirhomme
Journal:  Neuroradiology       Date:  2010-01       Impact factor: 2.804

7.  Emotion recognition following pediatric traumatic brain injury: longitudinal analysis of emotional prosody and facial emotion recognition.

Authors:  Adam T Schmidt; Gerri R Hanten; Xiaoqi Li; Kimberley D Orsten; Harvey S Levin
Journal:  Neuropsychologia       Date:  2010-05-26       Impact factor: 3.139

8.  Prognosis of brain stem lesion in children with head injury.

Authors:  Dieter Woischneck; Susan Klein; Steffen Reissberg; Brigitte Peters; Stefan Avenarius; Gudrun Günther; Raimung Firsching
Journal:  Childs Nerv Syst       Date:  2003-02-21       Impact factor: 1.475

9.  A combined clinical and MRI approach for outcome assessment of traumatic head injured comatose patients.

Authors:  Nicolas Weiss; Damien Galanaud; Alexandre Carpentier; Sophie Tezenas de Montcel; Lionel Naccache; Pierre Coriat; Louis Puybasset
Journal:  J Neurol       Date:  2008-02-19       Impact factor: 4.849

10.  Deficits in analogical reasoning in adolescents with traumatic brain injury.

Authors:  Daniel C Krawczyk; Gerri Hanten; Elisabeth A Wilde; Xiaoqi Li; Kathleen P Schnelle; Tricia L Merkley; Ana C Vasquez; Lori G Cook; Michelle McClelland; Sandra B Chapman; Harvey S Levin
Journal:  Front Hum Neurosci       Date:  2010-08-19       Impact factor: 3.169

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