Literature DB >> 23255125

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

Go Uruma1, Keiji Hashimoto, Masahiro Abo.   

Abstract

OBJECTIVE: The 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.
METHODS: We 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.
RESULTS: The 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%.
CONCLUSIONS: Using 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.

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Year:  2012        PMID: 23255125     DOI: 10.1007/s12149-012-0674-4

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  6 in total

1.  Imaging evidence and recommendations for traumatic brain injury: advanced neuro- and neurovascular imaging techniques.

Authors:  M Wintermark; P C Sanelli; Y Anzai; A J Tsiouris; C T Whitlow
Journal:  AJNR Am J Neuroradiol       Date:  2014-11-25       Impact factor: 3.825

2.  MR Imaging Applications in Mild Traumatic Brain Injury: An Imaging Update.

Authors:  Xin Wu; Ivan I Kirov; Oded Gonen; Yulin Ge; Robert I Grossman; Yvonne W Lui
Journal:  Radiology       Date:  2016-06       Impact factor: 11.105

3.  Post meningitis subdural hygroma: Anatomical and functional evaluation with (99m)Tc-ehylene cysteine dimer single photon emission tomography/computed tomography.

Authors:  Punit Sharma; Ajiv Mishra; Geetanjali Arora; Madhavi Tripathi; Chandrasekhar Bal; Rakesh Kumar
Journal:  Indian J Nucl Med       Date:  2013-01

Review 4.  Current Opportunities for Clinical Monitoring of Axonal Pathology in Traumatic Brain Injury.

Authors:  Parmenion P Tsitsopoulos; Sami Abu Hamdeh; Niklas Marklund
Journal:  Front Neurol       Date:  2017-11-20       Impact factor: 4.003

5.  A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications.

Authors:  Xiujuan Zheng; Wentao Wei; Qiu Huang; Shaoli Song; Jieqing Wan; Gang Huang
Journal:  Biomed Res Int       Date:  2017-01-31       Impact factor: 3.411

6.  The Promising Effects of Transplanted Umbilical Cord Mesenchymal Stem Cells on the Treatment in Traumatic Brain Injury.

Authors:  Lifeng Qi; Xinhong Xue; Jijun Sun; Qingjian Wu; Hongru Wang; Yan Guo; Baoliang Sun
Journal:  J Craniofac Surg       Date:  2018-10       Impact factor: 1.046

  6 in total

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