• 1. The First Ward of the Department of Gynecology, the First Hospital of Lanzhou University, Lanzhou 730000, P. R. China;
  • 2. Key Laboratory of Gynecological Oncology of Gansu Province, Lanzhou 730000, P. R. China;
  • 3. School of Nursing, Hexi University, Zhangye 734000, P. R. China;
LIU Chang, Email: 814060052@qq.com
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Objective  To systematically review the diagnostic value of 18F-FDG PET/CT in recurrent epithelial ovarian cancer after treatment. Methods  The PubMed, EMbase, Cochrane Library, Web of Science, CNKI, WanFang Data, VIP, and CBM databases were electronically searched to collect diagnostic tests of 18F-FDG PET/CT for epithelial ovarian cancer from inception to February 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using Meta-Disc 1.4 and Stata 15.0 software. Results  A total of 15 studies involving 792 patients were included in this study. The results of meta-analysis showed that the sensitivity, specificity, and area under the curve of 18F-FDG PET/CT in the diagnosis of recurrent epithelial ovarian cancer were 0.88 (95%CI 0.85 to 0.90), 0.80 (95%CI 0.75 to 0.85) and 0.91, respectively. The results of the subgroup analysis showed that the sensitivity of the prospective studies was the same as that of the retrospective studies, but the specificity of the prospective studies was higher than that of the retrospective studies. The diagnostic sensitivity and specificity of 18F-FDG PET/CT in recurrent epithelial ovarian cancer were higher in Asian studies than in European/North American studies. Conclusion  18F-FDG PET/CT has high diagnostic value in recurrent epithelial ovarian cancer. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.

Citation: HU Shasha, WANG Xiaoyan, LIU Chang, YANG Lifeng. The diagnostic value of 18F-FDG PET/CT in epithelial ovarian cancer recurrence: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2023, 23(5): 528-533. doi: 10.7507/1672-2531.202206069 Copy

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