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:21
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
gg应助怕孤单的念云采纳,获得10
刚刚
华仔应助笑点低的静竹采纳,获得10
1秒前
1秒前
2秒前
CHL完成签到,获得积分10
2秒前
小蘑菇应助科研通管家采纳,获得10
2秒前
一支菜馅儿馄饨完成签到,获得积分10
2秒前
科目三应助科研通管家采纳,获得10
2秒前
细心金鱼发布了新的文献求助10
2秒前
Akim应助科研通管家采纳,获得10
2秒前
D_Daying发布了新的文献求助10
2秒前
Ava应助科研通管家采纳,获得10
3秒前
HJ发布了新的文献求助10
3秒前
丘比特应助科研通管家采纳,获得10
3秒前
酷波er应助科研通管家采纳,获得10
3秒前
李爱国应助科研通管家采纳,获得10
3秒前
Dream发布了新的文献求助10
3秒前
研友_VZG7GZ应助科研通管家采纳,获得10
3秒前
3秒前
科目三应助科研通管家采纳,获得10
3秒前
深情安青应助TJJJJJ采纳,获得10
3秒前
4秒前
科研狗应助虚心盼夏采纳,获得50
4秒前
4秒前
北北完成签到,获得积分10
4秒前
4秒前
英姑应助ZDM采纳,获得10
4秒前
大个应助525采纳,获得10
4秒前
在水一方发布了新的文献求助10
4秒前
4秒前
keke发布了新的文献求助10
4秒前
5秒前
ZD发布了新的文献求助20
5秒前
灵巧访梦发布了新的文献求助10
5秒前
爱吃猫的鱼关注了科研通微信公众号
6秒前
7秒前
药师FS发布了新的文献求助10
7秒前
ji完成签到,获得积分10
8秒前
上官若男应助Lynn采纳,获得10
8秒前
baifeng完成签到,获得积分10
9秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7509846
求助须知:如何正确求助?哪些是违规求助? 9098486
关于积分的说明 19418007
捐赠科研通 7116722
什么是DOI,文献DOI怎么找? 3252722
关于科研通互助平台的介绍 2421584
邀请新用户注册赠送积分活动 2238928