Research Papers:
Mean cerebral blood volume is an effective diagnostic index of recurrent and radiation injury in glioma patients: A meta-analysis of diagnostic test
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Abstract
Zhanzhan Li1, Qin Zhou1, Yanyan Li2, Shipeng Yan3, Jun Fu1, Xinqiong Huang1, Liangfang Shen1
1Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China
2Office of Cancer Prevent and Control, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China
3Office of Cancer Prevent and Control, Hunan Provincial Tumor Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013 China
Correspondence to:
Liangfang Shen, email: [email protected]
Keywords: glioma, mean cerebral blood volume, early diagnosis, meta-analysis
Received: August 31, 2016 Accepted: December 15, 2016 Published: January 31, 2017
ABSTRACT
We conducted a meta-analysis to evaluate the diagnostic values of mean cerebral blood volume for recurrent and radiation injury in glioma patients. We performed systematic electronic searches for eligible study up to August 8, 2016. Bivariate mixed effects models were used to estimate the combined sensitivity, specificity, positive likelihood ratios, negative likelihood ratios, diagnostic odds ratios and their 95% confidence intervals (CIs). Fifteen studies with a total number of 576 participants were enrolled. The pooled sensitivity and specificity of diagnostic were 0.88 (95%CI: 0.82-0.92) and 0.85 (95%CI: 0.68-0.93). The pooled positive likelihood ratio is 5.73 (95%CI: 2.56-12.81), negative likelihood ratio is 0.15 (95%CI: 0.10-0.22), and the diagnostic odds ratio is 39.34 (95%CI:13.96-110.84). The summary receiver operator characteristic is 0.91 (95%CI: 0.88-0.93). However, the Deek’s plot suggested publication bias may exist (t=2.30, P=0.039). Mean cerebral blood volume measurement methods seems to be very sensitive and highly specific to differentiate recurrent and radiation injury in glioma patients. The results should be interpreted with caution because of the potential bias.
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