Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta‐Analysis of Diagnostic Test Accuracy

医学 乳腺癌 乳腺闪烁照相术 荟萃分析 接收机工作特性 放射科 置信区间 淋巴结 癌症 乳房成像 超声波 乳腺摄影术 核医学 内科学
作者
Zhifan Li,Ya Gao,Hengxin Gong,Wen Feng,Qinqin Ma,Jinkui Li,Xingru Lu,Xiaohui Wang,Junqiang Lei
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:57 (5): 1392-1403 被引量:17
标识
DOI:10.1002/jmri.28399
摘要

Background Accurate diagnosis of axillary lymph node metastasis (ALNM) of breast cancer patients is important to guide local and systemic treatment. Purpose To evaluate the diagnostic performance of different imaging modalities for ALNM in patients with breast cancer. Study Type Systematic review and network meta‐analysis (NMA). Subjects Sixty‐one original articles with 8011 participants. Field Strength 1.5 T and 3.0 T. Assessment We used the QUADAS‐2 and QUADAS‐C tools to assess the risk of bias in eligible studies. The identified articles assessed ultrasonography (US), MRI, mammography, ultrasound elastography (UE), PET, CT, PET/CT, scintimammography, and PET/MRI. Statistical Analysis We used random‐effects conventional meta‐analyses and Bayesian network meta‐analyses for data analyses. We used sensitivity and specificity, relative sensitivity and specificity, superiority index, and summary receiver operating characteristic curve (SROC) analysis to compare the diagnostic value of different imaging modalities. Results Sixty‐one studies evaluated nine imaging modalities. At patient level, sensitivities of the nine imaging modalities ranged from 0.27 to 0.84 and specificities ranged from 0.84 to 0.95. Patient‐based NMA showed that UE had the highest superiority index (5.95) with the highest relative sensitivity of 1.13 (95% confidence interval [CI]: 0.93–1.29) among all imaging methods when compared to US. At lymph node level, MRI had the highest superiority index (6.91) with highest relative sensitivity of 1.13 (95% CI: 1.01–1.23) and highest relative specificity of 1.11 (95% CI: 0.95–1.23) among all imaging methods when compared to US. SROCs also showed that UE and MRI had the largest area under the curve (AUC) at patient level and lymph node level of 0.92 and 0.94, respectively. Data Conclusion UE and MRI may be superior to other imaging modalities in the diagnosis of ALNM in breast cancer patients at the patient level and the lymph node level, respectively. Further studies are needed to provide high‐quality evidence to validate our findings. Evidence Level 3 Technical Efficacy Stage 2
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
arabidopsis发布了新的文献求助10
1秒前
yolo完成签到 ,获得积分10
3秒前
6秒前
minuxSCI完成签到,获得积分0
8秒前
xin完成签到 ,获得积分10
8秒前
adkdad完成签到,获得积分10
9秒前
四不像会麋鹿完成签到 ,获得积分10
9秒前
赘婿应助五条悟采纳,获得10
10秒前
彩虹完成签到,获得积分10
11秒前
11秒前
11秒前
adkdad发布了新的文献求助10
18秒前
xxy发布了新的文献求助10
19秒前
5160完成签到,获得积分10
20秒前
22秒前
Aorist完成签到,获得积分10
24秒前
26秒前
acadedog完成签到,获得积分10
27秒前
欢声喵语发布了新的文献求助10
27秒前
青阳发布了新的文献求助10
28秒前
闪闪的晓丝完成签到 ,获得积分10
29秒前
XL神放发布了新的文献求助10
30秒前
柔弱的老三完成签到 ,获得积分10
32秒前
33秒前
兴奋的乐巧完成签到,获得积分10
34秒前
34秒前
jinmai完成签到 ,获得积分10
35秒前
Laray完成签到 ,获得积分10
36秒前
39秒前
锂电说发布了新的文献求助10
41秒前
研友_VZG7GZ应助科研通管家采纳,获得20
44秒前
andy应助cool_随风采纳,获得10
44秒前
张欢馨应助科研通管家采纳,获得10
44秒前
44秒前
44秒前
天天快乐应助科研通管家采纳,获得10
44秒前
yueyue发布了新的文献求助10
44秒前
汉堡包应助科研通管家采纳,获得10
44秒前
在水一方应助科研通管家采纳,获得10
44秒前
科研通AI2S应助科研通管家采纳,获得10
44秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348729
求助须知:如何正确求助?哪些是违规求助? 8163900
关于积分的说明 17175560
捐赠科研通 5405345
什么是DOI,文献DOI怎么找? 2861984
邀请新用户注册赠送积分活动 1839714
关于科研通互助平台的介绍 1688977