Impact of 18F-FDG PET/CT in Staging Patients With Small Cell Lung Cancer: A Systematic Review and Meta-Analysis

FRONTIERS IN MEDICINE(2020)

引用 32|浏览22
暂无评分
摘要
Background: Molecular imaging methods are currently used in the management of patients with lung cancer. Compared to non-small cell lung cancer, less data are available about the impact of molecular imaging using fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (F-18-FDG PET/CT) in staging patients with small cell lung cancer (SCLC). Performing a systematic review and meta-analysis, we aimed to provide quantitative data about the impact of F-18-FDG PET/CT in staging SCLC. Methods: A comprehensive literature search of studies on the use of F-18-FDG PET/CT in patients with SCLC was performed. Three different databases were screened (PubMed/MEDLINE, EMBASE, and Cochrane library databases) until June 2019. Only articles describing the impact of F-18-FDG PET/CT in staging patients with SCLC were selected. A pooled analysis evaluating the change of binary SCLC staging (limited-stage vs. extensive-stage disease) using F-18-FDG PET/CT was carried out. Results: Nine articles including 721 patients with SCLC were included in the systematic review. Compared to conventional staging, a superior diagnostic accuracy of F-18-FDG PET/CT was found. A change of binary SCLC staging using F-18-FDG PET/CT was demonstrated in 15% (95% confidence interval, 9-21%) of patients with SCLC. Currently, it is not clearly demonstrated that the use of F-18-FDG PET/CT for staging may improve the survival outcome of patients with SCLC. Conclusions: F-18-FDG PET/CT is a useful molecular imaging method for staging patients with SCLC because it can change the management in a significant number of patients. More large prospective studies and cost-effectiveness analyses on the impact of F-18-FDG PET/CT in staging patients with SCLC are needed.
更多
查看译文
关键词
positron emission tomography,CT,molecular imaging,staging,lung cancer,small cell lung cancer
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