Citation

Yang A, Xiao XH, Liu ZH, Wan ZL, Wang ZY. J. Neurotrauma 2018; 35(2): 308-313.

Affiliation

Zhongshan, China ; wangzy_1987@126.com.

Copyright

(Copyright © 2018, Mary Ann Liebert Publishers)

DOI

10.1089/neu.2017.5335

PMID

29141511

Abstract

Accurate and reliable assessment of the conscious state of patients with severe TBI is vital for their future management. The purpose of the present study is to find an effective and accurate magnetic resonance imaging (MRI) method for predicting recovery of consciousness in patients with severe traumatic brain injury (TBI). Multimodal MR techniques, including structural MRI, magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI), were used to evaluate brain damage in 58 patients with severe TBI. Statistical analysis compared imaging results and recovery over a relatively long period to find the most potent prognostic indicators and predictive method. Total 33 patients gained recovery of consciousness (RC), and 25 did not (NRC). Comparing with RC, NRC had a significantly lower NAA/Cr of pons (1.43 ± 0.54 vs. 1.70 ± 0.42), more fiber lines (1046.3± 100.8 vs.975.6 ± 128.1), less pgrey (579.23±78.85 vs. 638.23±61.16), lower FA of fibers (0.42 ± 0.04 vs. 0.45 ± 0.03), older age (43.08± 14.61 vs. 30.57 ± 12.89) and higher ADC of fibers (0.99 ± 0.14 vs. 0.89 ±0.06); all P<0.05. Age, Pgrey, ADC of fibers, NAA/Cr of pons were selected by logistic regression analysis to predict RC, with P-values of 0.033 and 0.031, 0.035, 0.030 respectively. Age, Pgrey, ADC of fibers, NAA/Cr of pons are effective indicators in predictive model of RC.

Language: en

Keywords

COGNITIVE FUNCTION; Diffusion Tensor Imaging; MRI; MRI SPECTROSCOPY; TRAUMATIC BRAIN INJURY