Evaluation of brain injury after cardiopulmonary resuscitation onby T2W images texture analysis: A preliminary study
10.3760/cma.j.issn.1671-0282.2021.12.005
- VernacularTitle:基于T2WI图像纹理分析评价大鼠心肺复苏后脑损伤初步研究
- Author:
Zhifeng LIU
1
;
Qingyu LIU
;
Haoyi YE
;
Yaoqin RUAN
;
Jinhui CAI
;
Zhihua WU
;
Zhengfei YANG
Author Information
1. 广州医科大学附属第四医院影像科，广州 511300
- Keywords:
Cardiopulmonary resuscitation;
Cardiac arrest;
Brain injury;
Magnetic resonance imaging;
Texture analysis
- From:
Chinese Journal of Emergency Medicine
2021;30(12):1438-1443
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the feasibility of brain injury after cardiopulmonary resuscitation (CPR) in rats based on T2WI image texture analysis.Methods:Eighteen SD rats were randomly divided into the sham group ( n=8) and model group ( n=10). The rats in the model group underwent MRI scanning at 6 h after return of spontaneous circulation (ROSC), and the rats in the sham group received MRI scanning at 6 h after the operation. The differences in the texture features of T2WI images and the expressions of AQP4 and NSE between the two groups were analyzed. The receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficacy of statistically different texture features between the two groups for brain injury. The associations between texture features and AQP4 and NSE expressions in the sham group and model group were analyzed using Spearman correlation coefficients. Results:The minimum intensity, standard deviation, and inverse difference moment of the whole brain T2WI texture features of the model group were significantly lower than those of the sham group ( P<0.05), while the difference entropy and characteristics of high gray in homogeneity were significantly higher than those of the sham group ( P<0.05). The difference entropy was the best with an area under curve (AUC) of 0.922, a sensitivity of 100% and a specificity of 75%. The AQP4 and NSE expressions in the model group were significantly higher than those in the sham group ( P<0.05). The minimum intensity value was positively correlated with AQP4 and NSE expressions ( r=0.501, 0.568, P=0.048, 0.022). The standard deviation was positively correlated with AQP4 and NSE expressions ( r=0.620, 0.530, P=0.010, 0.035). The difference entropy was negatively correlated with AQP4 expression ( r=-0.535, P=0.033). Conclusions:Texture analysis on T2WI images can evaluate the degree of brain edema and neuronal damage. The minimum intensity, standard deviation, and difference entropy are sensitive indicators to evaluate brain injury after CPR, and difference entropy has the highest sensitivity and specificity.
