RT Journal Article
SR Electronic
T1 Diffusion Tensor Imaging as Potential Biomarker of White Matter Injury in Diffuse Axonal Injury
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 370
OP 376
VO 25
IS 3
A1 Huisman, Thierry A.G.M.
A1 Schwamm, Lee H.
A1 Schaefer, Pamela W.
A1 Koroshetz, Walter J.
A1 Shetty-Alva, Neetha
A1 Ozsunar, Yelda
A1 Wu, Ona
A1 Sorensen, A. Gregory
YR 2004
UL http://www.ajnr.org/content/25/3/370.abstract
AB BACKGROUND AND PURPOSE: Multiple biomarkers are used to quantify the severity of traumatic brain injury (TBI) and to predict outcome. Few are satisfactory. CT and conventional MR imaging underestimate injury and correlate poorly with outcome. New MR imaging techniques, including diffusion tensor imaging (DTI), can provide information about brain ultrastructure by quantifying isotropic and anisotropic water diffusion. Our objective was to determine if changes in anisotropic diffusion in TBI correlate with acute Glasgow coma scale (GCS) and/or Rankin scores at discharge.METHODS:Twenty patients (15 male, five Female; mean age, 31 years) were evaluated. Apparent diffusion coefficients (ADCs) and fractional anisotropy (FA) values were measured at multiple locations and correlated with clinical scores. Results were compared with those of 15 healthy control subjects.RESULTS: ADC values were significantly reduced within the splenium (Δ18%, P = .001). FA values were significantly reduced in the internal capsule (Δ14%; P < .001) and splenium (Δ16%; P = .002). FA values were significantly correlated with GCS (r = 0.65–0.74; P < .001) and Rankin (r = 0.68–0.71; P < .001) scores for the internal capsule and splenium. The correlation between FA and clinical markers was better than for the corresponding ADC values. No correlation was found between ADC of the internal capsule and GCS/Rankin scores.CONCLUSION: DTI reveals changes in the white matter that are correlated with both acute GCS and Rankin scores at discharge. DTI may be a valuable biomarker for the severity of tissue injury and a predictor for outcome.