Diagnostic accuracy of real-time tissue elastography for breast cancer: a meta-analysis

作者
Cong Wang,Guang Yang,Hui Wang
标识
DOI:10.1007/s10330-015-0066-z
摘要

Abstract Objective The present study aimed to determine the accuracy of real-time tissue elastography (RTE) for the diagnosis of breast cancer. Methods The search was conducted in the PubMed, Web of Science, Cochrane Library, and China Biology Medicine databases from inception through December 31, 2014, without language restrictions. The meta-analysis was conducted using STATA version 12.0 and Meta-Disc version 1.4. We calculated the summary statistics for sensitivity (Sen), specificity (Spe), positive and negative likelihood ratio (LR+/LR - ), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curve. Results Ten studies that met all inclusion criteria were included in the meta-analysis. A total of 608 malignant breast lesions and 1292 benign breast tumors were assessed. All breast lesions were histologically confirmed after RTE. The pooled Sen was 0.83 (95% CI = 0.79-0.86); the pooled Spe was 0.86 (95% CI = 0.84-0.88). The pooled LR+ was 9.87 (95% CI = 2.66-36.71); the pooled LR- was 0.20 (95% CI = 0.17-0.23). The pooled DOR of RTE for the diagnosis of breast cancer was 62.21 (95% CI = 33.88-114.24). The area under the SROC curve was 0.9334 (standard error = 0.00125). We found no evidence of publication bias ( t = -0.57, P = 0.582). Conclusion RTE may have high diagnostic accuracy for the differential diagnosis of benign and malignant breast tumors. RTE may be a good tool for breast cancer diagnosis.

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
hkk发布了新的文献求助10
刚刚
刚刚
孙皓阳发布了新的文献求助10
刚刚
研友_VZG7GZ应助鱼儿大魔王采纳,获得10
刚刚
1秒前
KK完成签到,获得积分10
1秒前
xzy998应助明亮的发卡采纳,获得10
2秒前
温婉的誉完成签到,获得积分10
2秒前
2秒前
ke完成签到,获得积分10
2秒前
2秒前
summer发布了新的文献求助10
3秒前
下论文完成签到,获得积分10
3秒前
4秒前
科研通AI6.2应助笨笨蜻蜓采纳,获得10
4秒前
4秒前
syea完成签到,获得积分20
4秒前
4秒前
神勇的天问完成签到,获得积分10
5秒前
白菜完成签到,获得积分10
5秒前
李爱国应助Flora采纳,获得30
5秒前
5秒前
香蕉发夹完成签到,获得积分10
6秒前
7秒前
7秒前
小路发布了新的文献求助10
7秒前
英俊冥完成签到,获得积分10
7秒前
嘿嘿发布了新的文献求助10
7秒前
7秒前
这句话完成签到 ,获得积分10
7秒前
FashionBoy应助LXR采纳,获得10
8秒前
打打应助wy采纳,获得10
8秒前
叮叮当当当完成签到 ,获得积分10
8秒前
含蓄的从筠完成签到 ,获得积分10
9秒前
科研通AI6.4应助吱5吱采纳,获得10
9秒前
哞哞发布了新的文献求助10
9秒前
Alina完成签到,获得积分10
9秒前
enen完成签到,获得积分10
9秒前
10秒前
听风挽应助俭朴的海莲采纳,获得100
10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
Principles of town planning: translating concepts to applications 1000
Cognitive Psychology in a Changing World 800
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
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 7684627
求助须知:如何正确求助?哪些是违规求助? 9248117
关于积分的说明 19950992
捐赠科研通 7257536
什么是DOI,文献DOI怎么找? 3288865
关于科研通互助平台的介绍 2446044
邀请新用户注册赠送积分活动 2292986