The diagnostic value of quantitative analysis of ASL, DSC-MRI and DKI in the Grading of Cerebral Gliomas: A Meta-Analysis [post]

Chuanchen Zhang, Luan Jixin, Mingzhen Wu, Xiaohui Wang, Lishan Qiao, Guifang Guo
2020 unpublished
Objective To perform quantitative analysis on the efficacy of using relative cerebral blood flow (rCBF) in arterial spin labeling (ASL), relative cerebral blood volume (rCBV) in dynamic magnetic sensitivity contrast-enhanced magnetic resonance imaging(DSC-MRI), and mean kurtosis (MK) in diffusion kurtosis imaging (DKI) to grade cerebral gliomas. Methods Literature regarding ASL, DSC-MRI, or DKI in cerebral glioma grading in both English and Chinese were searched from PubMed, Embase, Web of
more » ... Embase, Web of Science, CBM, China National Knowledge Infrastructure (CNKI), and Wanfang Database as of April 2019. A Meta-Analysis was performed to evaluate the efficacy of ASL, DSC-MRI, and DKI in the grading of cerebral glioma. Result A total of 54 articles (11 in Chinese and 43 in English) were included. Three quantitative parameters in the grading of cerebral glioma, rCBF in ASL, rCBV in DSC-MRI,and MK in DKI had an overall sensitivity of 0.88[95%CI(0.83,0.92)], 92[95%CI(0.83,0.96)],0.88[95%CI(0.82,0.92)], and an overall specificity of 0.91[95%CI(0.84,0.94)],0.81[95%CI(0.73,0.88)], 0.86[95%CI(0.78,0.91)] respectively. The overall area under the ROC curve were 0.95[95%CI(0.93,0.97)], 0.91[95%CI(0.89,0.94)], 0.93[95%CI(0.91,0.95)] respectively. Conclusion Quantitative parameters rCBF, rCBV and MK have high diagnostic efficacy for preoperative grading of cerebral gliomas.
doi:10.21203/rs.3.rs-22117/v1 fatcat:jbr76cs5ozdvdhaovrksozv5eq