Accuracy of MR perfusion weighted imaging for cerebral glioma grading: a meta-analysis

• Published in: Zhong hua yi xue za zhi Vol. 90; no. 41; p. 2927
• Main Authors: Min, Zhi-gang, Liu, Hong-juan, Li, Min, Liu, Li-hua, Jin, Chen-wang, Zhang, Ming
• Format: Journal Article
• Language: Chinese
• Published: China 09.11.2010
• Subjects: Brain Neoplasms - pathology; Glioma - pathology; Humans; Magnetic Resonance Spectroscopy; Neoplasm Staging
• ISSN: 0376-2491
• DOI: 10.3760/cma.j.issn.0376-2491.2010.41.011

To evaluate values of MR perfusion weighted imaging(PWI) in the grading of intracranial gliomas by a meta-analysis. All English and Chinese literatures published before November 2009 in PUBMED and CNKI (China National Knowledge Infrastructure) were searched. Literature searching requirements: (1) MR PWI with region of interest (ROI) must have been applied in the grading of gliomas; (2) histopathological results must have been used as the reference standards. In addition, after data extraction, a bivariate random-effect model and hierarchical weighted symmetric summary receiver-operating curve must have been utilized to pool the data. Furthermore, a meta regression method must have been applied to detect and analyze the factors that affected the diagnostic accuracy. Overall, fourteen studies were included with a total amount of 1021 patients. The pooled sensitivity, specificity and diagnostic odds ratio with 95% of CI were 93% (89% - 96%), 81% (73% - 87%) and 55 (28 - 107), respectively. The factors that affec