18F-FDG PET or PET/CT for detection of metastatic lymph nodes in patients with endometrial cancer: A systematic review and meta-analysis

医学 子宫内膜癌 接收机工作特性 诊断试验中的似然比 荟萃分析 放射科 转移 核医学 主动脉旁淋巴结 曲线下面积 淋巴结切除术 淋巴结 癌症 内科学
作者
Ming Che Chang,Jinhua Chen,Ji Liang,Kuang-Tao Yang,Kai-Yuan Cheng,Chia-Hung Kao
出处
期刊:European Journal of Radiology [Elsevier]
卷期号:81 (11): 3511-3517 被引量:74
标识
DOI:10.1016/j.ejrad.2012.01.024
摘要

The present study assessed the diagnostic performances of 18F-FDG PET or PET/CT in detecting pelvic and/or paraaortic lymph node metastasis in patients with endometrial cancer.Through a search of MEDLINE (January 1998 to March 2011), an overall weighted average for sensitivity and specificity as well as pooled estimates of positive and negative likelihood ratios were calculated. A summary receiver-operating-characteristics (sROC) curve was constructed and the area under the sROC curve (AUC) was calculated. I-square was calculated to explore heterogeneity.The present study included 243 patients from seven studies. Results indicated a lack of significant heterogeneity for sensitivity and specificity (I2<50% and p>0.05). The overall pooled estimates for sensitivity and specificity of FDG-PET or PET/CT scans in the detection of pelvic and/or paraaortic metastasis were 63.0% (95% CI, 48.7-75.7%) and 94.7% (95% CI, 90.4-97.4%), respectively. The positive likelihood ratio was 10.465 (95% CI, 5.646-19.396) and the negative likelihood ratio 0.399 (95% CI, 0.284-0.560). The AUC was 0.9533. The overall diagnostic accuracy (Q* index) was 89.5%. Conclusion The high positive likelihood value confirms the reliability of a positive FDG-PET or PET/CT to detect pelvic and/or paraaortic lymph nodes metastasis in patients with untreated endometrial cancer. FDG-PET or PET/CT may prove beneficial to surgeons when selecting appropriate patients on whom to perform lymphadenectomy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊梦槐完成签到,获得积分10
刚刚
123发布了新的文献求助10
1秒前
1秒前
1秒前
白泽发布了新的文献求助10
2秒前
一条贤与发布了新的文献求助20
2秒前
2秒前
英俊谷秋完成签到,获得积分10
2秒前
2秒前
通~发布了新的文献求助10
3秒前
所所应助火星探险采纳,获得10
3秒前
3秒前
Guoyeye完成签到,获得积分10
3秒前
4秒前
阿芙乐尔完成签到 ,获得积分10
4秒前
_呱_发布了新的文献求助30
5秒前
5秒前
5秒前
Akim应助眼睛大的金鱼采纳,获得10
6秒前
6秒前
6秒前
7秒前
legend完成签到,获得积分10
7秒前
猪猪hero发布了新的文献求助10
7秒前
善学以致用应助Scidog采纳,获得10
7秒前
白泽完成签到 ,获得积分10
8秒前
我是老大应助乐乱采纳,获得10
8秒前
张宁波完成签到,获得积分10
8秒前
酷波er应助www采纳,获得10
8秒前
XXF发布了新的文献求助10
9秒前
赤邪发布了新的文献求助10
9秒前
石头发布了新的文献求助10
9秒前
10秒前
Ricky完成签到,获得积分10
10秒前
上官若男应助luuuuuu采纳,获得10
10秒前
杨永亮完成签到,获得积分10
11秒前
11秒前
袁粪到了完成签到 ,获得积分10
11秒前
11秒前
异烟肼完成签到 ,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794