Detection rate of fluorine-18 prostate-specific membrane antigen-1007 PET/CT for prostate cancer in primary staging and biochemical recurrence with different serum PSA levels: A systematic review and meta-analysis

Xue Liu, Tao Jiang,CaiLiang Gao,HuiTing Liu,Yu Sun,Qiao Zou, Rui Tang,WenBing Zeng

FRONTIERS IN ONCOLOGY(2022)

引用 5|浏览0
暂无评分
摘要
Background: We performed a systematic review and meta-analysis to evaluate the detection rate (DR) of fluoro-prostate-specific membrane antigen (F-18-PSMA-1007) PET/CT in patients with different serum prostate-specific antigen (PSA) levels in the setting of primary staging of prostate cancer (PCa) or biochemically recurring PCa. Methods: A comprehensive electronic literature search of the PubMed, Embase, and Cochrane Library databases was conducted in accordance with the PRISMA statement. This study was registered in the PROSPERO database (registration number: CRD42022331595). We calculated the DR of F-18-PSMA-1007 PET/CT in PCa. Results: The final analysis included 15 studies that described 1,022 patients and 2,034 lesions with F-18-PSMA-1007 PET/CT in PCa. The DR of F-18-PSMA-1007 PET/CT in patients with PCa in primary staging ranged from 90% to 100%, with a pooled estimate of 94% (95% CI: 92%-96%). The DR of F-18-PSMA-1007 PET/CT in patients with PCa in BCR ranged from 47% to 100%, with a pooled estimate of 86% (95% CI: 76%-95%). The DRs of PSA levels > 2.0, 1.1-2.0, 0.51-1.0, and & LE;0.5 ng/ml detected by F-18-PSMA-1007 PET/CT in a patient-based analysis were 97% (95% CI: 93%-99%), 95% (95% CI: 88%-99%), 79% (95% CI: 68%-88%), and 68% (95% CI: 58%-78%), respectively. Conclusion: This meta-analysis concluded that F-18-PSMA-1007 PET/CT had a high application value for prostate cancer, including primary tumors and biochemical recurrence. The DR of F-18-PSMA-1007 PET/CT was slightly higher in primary prostate tumors than in biochemical recurrence.
更多
查看译文
关键词
prostate cancer, biochemical recurrence, meta-analysis, F-18-PSMA-1007, PET/CT, prostate-specific antigen
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要