A meta-analysis of diffusion tensor imaging for diagnosis of early radiation-induced brain injury
10.3760/cma.j.issn.1004-4221.2017.05.005
- VernacularTitle:DTI参数诊断早期放射性脑损伤Meta分析
- Author:
Junchen LI
;
Guohua LI
;
Chunhong HU
- Keywords:
Diffusion tensor imaging;
Radiation-induced brain injury;
Meta-analysis
- From:
Chinese Journal of Radiation Oncology
2017;26(5):508-512
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the diagnostic value of diffusion tensor imaging (DTI) for early radiation-induced brain injury.Methods We searched CNKI and PubMed and included articles according to the PRISMA statement.FA value, λ||, and λ丄 were pooled, and Forest plot generation, cumulative analysis, sensitivity analysis, and regression analysis were performed.We also used the funnel plot to analyze publication bias.Results A total 11 studies were included for meta-analysis.The results of FA value heterogeneity test were as follows:P=0.000, I2=93.6% in China;P=0.004, I2=82.2% in other countries and regions;P=0.000, I2=91.5% in all regions.The regression analysis of time-dose dependence and study design showed significant and non-significant associations, respectively, with the heterogeneity of these studies (adjusted P=0.026, P=0.005;adjusted P=0.859, P=0.908).The results of λ||and λ丄 heterogeneity tests were as follows:P=0.908, I2=0.0%;P=0.100, I2=56.6%.There was a sign of publication bias by Egger's test (coefficient:-6.26, 95%CI:-9.31 to-3.20, P=0.001) and Begg's test (P=0.004).Conclusions DTI-derived metrics are sensitive and reliable in the diagnosis of early radiation-induced brain injury.
