Diffusion tensor tractography in traumatic diffuse axonal injury

Short Title:
Diffusion tensor tractography in traumatic diffuse axonal injury
Model System:
Reference Type:
Journal Article
Accession No.:
Archives of Neurology
Year, Volume, Issue, Page(s):
2008, vol. 65, issue 5, pp 619-626
Publication Website:
BACKGROUND: Diffuse axonal injury is a common consequence of traumatic brain injury that frequently involves the parasagittal white matter, corpus callosum, and brainstem. OBJECTIVE: To examine the potential of diffusion tensor tractography in detecting diffuse axonal injury at the acute stage of injury and predicting long-term functional outcome. DESIGN: Tract-derived fiber variables were analyzed to distinguish patients from control subjects and to determine their relationship to outcome. SETTING: Inpatient traumatic brain injury unit. PATIENTS: From 2005 to 2006, magnetic resonance images were acquired in 12 patients approximately 7 days after injury and in 12 age- and sex-matched controls. MAIN OUTCOME MEASURES: Six fiber variables of the corpus callosum, fornix, and peduncular projections were obtained. Glasgow Outcome Scale-Extended scores were assessed approximately 9 months after injury in 11 of the 12 patients. RESULTS: At least 1 fiber variable of each region showed diffuse axonal injury-associated alterations. At least 1 fiber variable of the anterior body and splenium of the corpus callosum correlated significantly with the Glasgow Outcome Scale-Extended scores. The predicted outcome scores correlated significantly with actual scores in a mixed-effects model. CONCLUSION: Diffusion tensor tractography-based quantitative analysis at the acute stage of injury has the potential to serve as a valuable biomarker of diffuse axonal injury and predict long-term outcome.
Wang,J., Bakhadirov,K., Devous,M., Abdi,H., McColl,R., Moore,C., Marquez de la Plata,C., Ding,K, Whittemore, A, Babcock, E, Rickbeil,T, Dobervich, J, Kroll, D, Dao, B, Mohindra, N, Diaz-Arrastia, R.
Author Address(es):
Department of Cognition and Neuroscience, The University of Texas at Dallas, Richardson, USA

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