5-Year imaging sequelae of concussive blast injury and relation to early clinical outcome

• DOI: 10.1016/j.nicl.2017.02.005
• Publication Date: 2017-02-09T10:32:57Z
• Authors: Christine L. Mac ...; Jason Barber; Jalal Andre; Nicole Evans; Chris Panks; Samantha Sun; Kody Zalewski; R. Elizabeth Sanders; Nancy Temkin
• Keywords: Adult; Male; Concussion; Computer applications to medicine. Medical informatics; R858-859.7; Statistics, Nonparametric; Young Adult; 03 medical and health sciences; Traumatic brain injury; 0302 clinical medicine; Blast Injuries; Predictive Value of Tests; Image Processing, Computer-Assisted; Humans; Longitudinal Studies; Neurodegeneration; RC346-429; Retrospective Studies; Regular Article; 3. Good health; Diffusion tensor imaging; Diffusion Tensor Imaging; Logistic Models; Disease Progression; Anisotropy; Female; Neurology. Diseases of the nervous system

Current imaging diagnostic techniques are often insensitive to the underlying pathological changes following mild traumatic brain injury (TBI) or concussion so much so that the explicit definition of these uncomplicated mild brain injuries includes the absence of radiological findings. In the US military, this is complicated by the natural tendency of service members to down play symptoms for fear of removal from their unit particularly in combat making it challenging for clinicians to definitively diagnose and determine course of treatment. Questions remain regarding the long-term impact of these war-time brain injuries. The objective of the current study was to evaluate the long-term imaging sequelae of blast concussion in active-duty US military and leverage previous longitudinal data collected in these same patients to identify predictors of sustained DTI signal change indicative of chronic neurodegeneration. In total, 50 blast TBI and 44 combat-deployed controls were evaluated at this 5-year follow up by advanced neuroimaging techniques including diffusion tensor imaging and quantitative volumetry. While cross-sectional analysis of regions of white matter on DTI images did not reveal significant differences across groups after statistical correction, an approach flexible to the heterogeneity of brain injury at the single-subject level identified 74% of the concussive blast TBI cohort to have reductions in fractional anisotropy indicative of chronic brain injury. Logistic regression leveraging clinical and demographic data collected in the acute/sub-acute and 1-year follow up to determine predictors of these long-term imaging changes determined that brain injury diagnosis, older age, verbal memory and verbal fluency best predicted the presence of DTI abnormalities 5 years post injury with an AUC of 0.78 indicating good prediction strength. These results provide supporting evidence for the evolution not resolution of this brain injury pathology, adding to the growing body of literature describing imaging signatures of chronic neurodegeneration even after mild TBI and concussion.