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复发性子宫颈癌的诊断:PET与PET/CT对比:一项系统评价和荟萃分析

Diagnosis of recurrent uterine cervical cancer: PET versus PET/CT: a systematic review and meta-analysis.

作者信息

Ding Xiao-Ping, Feng Li, Ma Li

机构信息

Department of Gynecology and Obstetrics, The Second Artillery General Hospital, 16th, Xinjiekouwaidajie Road, XiCheng District, Beijing, 100088, China,

出版信息

Arch Gynecol Obstet. 2014 Oct;290(4):741-7. doi: 10.1007/s00404-014-3263-z. Epub 2014 May 6.

Abstract

OBJECTIVE

The aim of this work was to assess and compare the overall value of stand-alone FDG PET and PET/CT in diagnosing recurrent cervical cancer with a meta-analysis.

METHODS

All the English published studies which addressed the use of PET whether interpreted with or without the use of CT for the diagnosis of recurrent cervical cancer were collected. Methodological quality of the included studies was evaluated. Pooled sensitivity and specificity were calculated, summary receiver operating characteristics (SROC) curve analysis was used to compare the diagnostic ability of stand-alone PET and PET/CT.

RESULT

A total of 18 studies were included in this meta-analysis, with a total of 762 subjects. Pooled sensitivity and specificity of PET and PET/CT were 0.91 (95 % CI 0.87-0.94) and 0.94 (95 % CI 0.89-0.97), and 0.92 (95 % CI 0.91-0.94) and 0.84 (95 % CI 0.74-0.91), respectively. The areas under the SROC curve (AUCs) of PET and PET/CT were 0.9610 and 0.9491, respectively. There was no statistical significance between the AUC of PET and PET/CT (P > 0.05).

CONCLUSION

Both PET and PET/CT have good performance in the detection of recurrent cervical cancer. However, interpreted CT images may have limited additional value on PET in detecting recurrent cervical cancer.

摘要

目的

本研究旨在通过荟萃分析评估并比较单独使用氟代脱氧葡萄糖正电子发射断层扫描(FDG PET)和PET/CT在诊断复发性宫颈癌中的总体价值。

方法

收集所有已发表的英文研究,这些研究涉及使用PET(无论是否联合CT)诊断复发性宫颈癌。评估纳入研究的方法学质量。计算合并敏感度和特异度,采用汇总受试者工作特征(SROC)曲线分析比较单独PET和PET/CT的诊断能力。

结果

本荟萃分析共纳入18项研究,受试者共762例。PET和PET/CT的合并敏感度和特异度分别为0.91(95%可信区间0.87 - 0.94)和0.94(95%可信区间0.89 - 0.97),以及0.92(95%可信区间0.91 - 0.94)和0.84(95%可信区间0.74 - 0.

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