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Role of dynamic susceptibility contrast-enhanced magnetic resonance imaging in differentiating glioma recurrence from radiation necrosis: a Meta-analysis
HAN Fang  YAO Zhen-wei  ZHANG Qing  XU Yang  WU Jian-lin 

DOI:10.12015/issn.1674-8034.2017.02.014.


[Abstract] Objectives: Using Meta-analysis to estimate the diagnostic value of differentiating glioma recurrence from radiation necrosis.Materials and Methods: We systematically searched PubMed, Embase, Web of Science, and Cochrane electronic databases to identify relevant published articles until June, 2016. English and Chinese language restrictions were applied. The data were analyzed by Meta-disc software.Results: Nine studies were used for general data pooling. The study included a total of 251 patients and 270 lesions. The pooled of DSC sensitivity was 0.89 (95% CI: 0.83, 0.93) and specificity was 0.88 (95% CI: 0.78, 0.94). Overall, positive likelihood ratio (PLR) was 4.47 (95% CI: 2.9-6.91; I2= 0, P<0.001) and negative likelihood ratio (NLR) was 0.15 (95%CI: 0. 1-0.23; I2=0, P<0.001). The pooled diagnostic odds ratio (DOR) was 33 (95% CI: 15.86, 68.66). The area under the receiver operating characteristic curve of DSC was 0.94 and the Q* index was 0.873. I2=0, representing a small heterogeneity between the 9 studies.Conclusion: Our Meta-analysis suggested that the rCBV values derived from DSC-MRI could be useful in differentiating glioma recurrence from radiation necrosis, DSC showed high sensitivity and specificity in differentiating glioma recurrence from radiation necrosis.
[Keywords] Magnetic resonance imaging；Relative cerebral blood volume；Meta-analysis；Glioma；Radiation necrosis

HAN Fang Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China

YAO Zhen-wei Department of Radiology, Huashan Hospital Affiliated to Fudan University, Shanghai 200040, China

ZHANG Qing Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China

XU Yang Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China

WU Jian-lin* Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China

*Correspondence to: Wu JL, E-mail: cjr.wujianlin@vip.163.com

Conflicts of interest   None.

Received  2016-12-12
Accepted  2017-01-16
DOI: 10.12015/issn.1674-8034.2017.02.014
DOI:10.12015/issn.1674-8034.2017.02.014.

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