A new method for evaluation of mild traumatic brain injury with neuropsychological impairment using statistical imaging analysis for Tc-ECD SPECT

ObjectiveThe objective of this study was to identify specific brain lesions with regional perfusion abnormalities possibly associated with neuropsychological impairments (NPI), as sequela after mild traumatic brain injury (MTBI), using 99mTc-ethylcysteinate dimer single photon emission computed tomography (Tc-99m ECD SPECT) and its novel analytic software.MethodsWe studied 23 patients with diffuse axonal injury with NPI group (Impaired-DAI), 26 with MTBI with NPI group (Impaired-MTBI) and 24 with MTBI without NPI group (Healthy-MTBI). In each subject, Tc-99m ECD SPECT images were analyzed by easy Z score imaging system (eZIS) and voxel-based stereotactic extraction estimation (vbSEE). Segmented into lobule levels, ROIs were set in 140 areas in whole brain, and relative regional low Tc-99m ECD uptake was computed as “extent” (rate of coordinates with Z score >2.0 in the ROI). Receiver operating characteristic analysis was performed using “extent” to discriminate the three groups.ResultsThe highest area under the curve (AUC) value for data of Impaired-DAI and Healthy-MTBI groups was obtained in ROI on the left anterior cingulate gyrus (LtACG), with AUC of 0.93, optimal “extent” cutoff value of 10.9 %, sensitivity 87.0 %, specificity 83.3 %. The highest AUC value for data of Impaired-MTBI and Healthy-MTBI groups was also in the LtACG, with AUC of 0.87, optimal “extent” cutoff value of 9.2 %, sensitivity 73.1 %, specificity 83.3 %.ConclusionsUsing two analytic software packages, eZIS and vbSEE, we identified specific lesions with low regional Tc-99m ECD uptake possibly associated with NPIs after MTBI. Especially, this trend was most marked in the left anterior cingulate gyrus in MTBI patients with NPIs and those with DAI. The optimal “extent” cutoff value, as a criterion for SPECT abnormality, might help the diagnosis of NPIs after MTBI.

[1]  N. Nakayama,et al.  Focal brain glucose hypometabolism in patients with neuropsychologic deficits after diffuse axonal injury. , 2007, AJNR. American journal of neuroradiology.

[2]  Keiji Hashimoto,et al.  Voxel- and atlas-based analysis of diffusion tensor imaging may reveal focal axonal injuries in mild traumatic brain injury -- comparison with diffuse axonal injury. , 2012, Magnetic resonance imaging.

[3]  A. Malhotra,et al.  Technetium Tc-99m ethyl cysteinate dimer brain single-photon emission CT in mild traumatic brain injury: a prospective study. , 2006, AJNR. American journal of neuroradiology.

[4]  M. Ylvisaker,et al.  Positive Supports for People Who Experience Behavioral and Cognitive Disability After Brain Injury: A Review , 2003, The Journal of head trauma rehabilitation.

[5]  Rita M. Gardner,et al.  Intensive Positive Behavior Supports for Adolescents with Acquired Brain Injury: Long-Term Outcomes in Community Settings , 2003, The Journal of head trauma rehabilitation.

[6]  T. Gennarelli Emergency department management of head injuries. , 1984, Emergency medicine clinics of North America.

[7]  W. Kakuda,et al.  Changes in regional cerebral blood flow in the right cortex homologous to left language areas are directly affected by left hemispheric damage in aphasic stroke patients: evaluation by Tc‐ECD SPECT and novel analytic software , 2010, European journal of neurology.

[8]  T. Tamiya,et al.  Focal neuronal damage in patients with neuropsychological impairment after diffuse traumatic brain injury: evaluation using ¹¹C-flumazenil positron emission tomography with statistical image analysis. , 2010, Journal of neurotrauma.

[9]  M. Matsushita,et al.  Utility of diffusion tensor imaging in the acute stage of mild to moderate traumatic brain injury for detecting white matter lesions and predicting long-term cognitive function in adults. , 2011, Journal of neurosurgery.

[10]  M. Abo,et al.  Abnormal regional benzodiazepine receptor uptake in the prefrontal cortex in patients with mild traumatic brain injury. , 2009, Journal of rehabilitation medicine.

[11]  B. Lerer,et al.  Cerebral blood flow in chronic symptomatic mild traumatic brain injury , 2003, Psychiatry Research: Neuroimaging.

[12]  D. Doyle,et al.  Diffuse brain damage of immediate impact type. Its relationship to 'primary brain-stem damage' in head injury. , 1977, Brain : a journal of neurology.

[13]  Takayuki Kato,et al.  Statistical image analysis of cerebral glucose metabolism in patients with cognitive impairment following diffuse traumatic brain injury. , 2007, Journal of neurotrauma.

[14]  Grace Scott,et al.  Diffuse axonal injury due to nonmissile head injury in humans: An analysis of 45 cases , 1982, Annals of neurology.

[15]  H Matsuda,et al.  Automated discrimination between very early Alzheimer disease and controls using an easy Z-score imaging system for multicenter brain perfusion single-photon emission tomography. , 2007, AJNR. American journal of neuroradiology.

[16]  Karl J. Friston,et al.  Functional topography: multidimensional scaling and functional connectivity in the brain. , 1996, Cerebral cortex.

[17]  S. Aoki,et al.  Cerebral blood flow in patients with diffuse axonal injury – examination of the easy Z‐score imaging system utility , 2007, European journal of neurology.

[18]  B. Vogt,et al.  Contributions of anterior cingulate cortex to behaviour. , 1995, Brain : a journal of neurology.

[19]  S. Kumita,et al.  Development of quantitative analysis method for stereotactic brain image: Assessment of reduced accumulation in extent and severity using anatomical segmentation , 2003, Annals of nuclear medicine.

[20]  Ingeborg Goethals,et al.  Analysis of clinical brain SPECT data based on anatomic standardization and reference to normal data: an ROC-based comparison of visual, semiquantitative, and voxel-based methods. , 2002, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[21]  D. Davalos,et al.  A Review of the Use of Single-Photon Emission Computerized Tomography as a Diagnostic Tool in Mild Traumatic Brain Injury , 2002, Applied neuropsychology.

[22]  I. Baguley,et al.  The relationship of psychological and cognitive factors and opioids in the development of the postconcussion syndrome in general trauma patients with mild traumatic brain injury , 2006, Journal of the International Neuropsychological Society.

[23]  J. Borg,et al.  Summary of the WHO Collaborating Centre for Neurotrauma Task Force on Mild Traumatic Brain Injury. , 2005, Journal of rehabilitation medicine.

[24]  R. Hales,et al.  J Neuropsychiatry Clin Neurosci , 1992 .

[25]  H. Gross,et al.  Local cerebral glucose metabolism in patients with long-term behavioral and cognitive deficits following mild traumatic brain injury. , 1996, The Journal of neuropsychiatry and clinical neurosciences.

[26]  H Matsuda,et al.  Conversion of brain SPECT images between different collimators and reconstruction processes for analysis using statistical parametric mapping , 2004, Nuclear medicine communications.

[27]  J. Ponsford Rehabilitation interventions after mild head injury , 2005, Current opinion in neurology.