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. 2017 Jul 5;8(53):91030-91039.
doi: 10.18632/oncotarget.19024. eCollection 2017 Oct 31.

The performance of 11C-Methionine PET in the differential diagnosis of glioma recurrence

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The performance of 11C-Methionine PET in the differential diagnosis of glioma recurrence

Weilin Xu et al. Oncotarget. .

Abstract

Despite the advancement of neuroimaging techniques, it often remains a diagnostic challenge to distinguish recurrent glioma from lesions representing treatment effect. Preliminary reports suggest that 11C-methionine Positron emission tomography (PET) can assist in diagnosing true glioma recurrence. We present here a meta-analysis to assess the accuracy of 11C-methionine PET in identifying recurrent glioma in patients who had undergone prior therapy. A comprehensive search of the PubMed, Embase and Chinese Biomedical (CBM) databases yielded 23 eligible articles comprising 29 studies listed prior to November 20, 2016, representing 891 patients. In this report, we assess the methodological quality of each article individually and perform a meta-analysis to obtain the summary diagnostic accuracy of 11C-methionine PET in correctly identifying recurrent glioma. The pooled sensitivity and specificity are 0.88 (95% CI: 0.85, 0.91) and 0.85 (95% CI: 0.80, 0.89), respectively, with an area under the curve (AUC) for the summary receiver-operating characteristic curve (SROC) of 0.9352. We conclude that 11C-methionine PET has excellent diagnostic performance for differentiating glioma recurrence from treatment effect.

Keywords: PET; glioma; meta-analysis; methionine; recurrence.

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Conflict of interest statement

CONFLICTS OF INTEREST The authors report no conflicts of interest.

Figures

Figure 1
Figure 1. Flow diagram of the study selection process
Figure 2
Figure 2. Methodological quality analysis of the 23 eligible articles using QUADAS-2 tool
Figure 3
Figure 3. Forest plot showing the sensitivity and specificity for the differentiation of glioma recurrence
Figure 4
Figure 4. Summary receiver-operating characteristic curve (SROC)
Figure 5
Figure 5. Funnel plot of publication bias

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