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Background::It is crucial to differentiate accurately glioma recurrence and pseudoprogression which have entirely different prognosis and require different treatment strategies. This study aimed to assess the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as a tool for distinguishing glioma recurrence and pseudoprogression.Methods::According to particular criteria of inclusion and exclusion, related studies up to May 1, 2019, were thoroughly searched from several databases including PubMed, Embase, Cochrane Library, and Chinese biomedical databases. The quality assessment of diagnostic accuracy studies was applied to evaluate the quality of the included studies. By using the "mada" package in R, the heterogeneity, overall sensitivity, specificity, and diagnostic odds ratio were calculated. Moreover, funnel plots were used to visualize and estimate the publication bias in this study. The area under the summary receiver operating characteristic (SROC) curve was computed to

作者:Jun Qiu;Zhen-Chao Tao;Ke-Xue Deng;Peng Wang;Chuan-Yu Chen;Fang Xiao;Yi Luo;Shu-Ya Yuan;Hao Chen;Huan Huang

来源:中华医学杂志英文版 2021 年 134卷 21期

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收藏
| 浏览:43 | 下载:2
作者:
Jun Qiu;Zhen-Chao Tao;Ke-Xue Deng;Peng Wang;Chuan-Yu Chen;Fang Xiao;Yi Luo;Shu-Ya Yuan;Hao Chen;Huan Huang
来源:
中华医学杂志英文版 2021 年 134卷 21期
标签:
Meta-analysis Dynamic contrast-enhanced magnetic resonance imaging Pseudoprogression Diagnostic accuracy Glioma Meta-analysis Dynamic contrast-enhanced magnetic resonance imaging Pseudoprogression Diagnostic accuracy Glioma
Background::It is crucial to differentiate accurately glioma recurrence and pseudoprogression which have entirely different prognosis and require different treatment strategies. This study aimed to assess the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as a tool for distinguishing glioma recurrence and pseudoprogression.Methods::According to particular criteria of inclusion and exclusion, related studies up to May 1, 2019, were thoroughly searched from several databases including PubMed, Embase, Cochrane Library, and Chinese biomedical databases. The quality assessment of diagnostic accuracy studies was applied to evaluate the quality of the included studies. By using the "mada" package in R, the heterogeneity, overall sensitivity, specificity, and diagnostic odds ratio were calculated. Moreover, funnel plots were used to visualize and estimate the publication bias in this study. The area under the summary receiver operating characteristic (SROC) curve was computed to