Zhang Yi, Sun Xiaofeng, Li Jingjing, Gao Qian, Guo Xiaofei, Liu Jian-Xin, Gan Wenyuan, Yang Shunshi
Department of Ultrasound, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Clin Hemorheol Microcirc. 2022;81(2):109-121. doi: 10.3233/CH-211367.
To investigate the added value of contrast-enhanced ultrasound (CEUS) and superb microvascular imaging (SMI) to the conventional ultrasound (US) in the diagnosis of breast lesions.
PubMed, EMBASE, Web of Science, Chinese national knowledge infrastructure databases, Chinese biomedical literature databases, and Wanfang were searched for relevant studies from November 2015 to November 2021. The quality of the included studies was evaluated using the Quality Assessment of Diagnostic Studies (QUADAS) tool. Meta-Disc version 1.4 was used to calculate sensitivity (SEN), specificity (SPE), positive likelihood ratio (LR+), negative likelihood ratio (LR-), area under curve (AUC), and diagnostic odds ratio (DOR). Meta-regression analysis was performed using STATA 16.0 software to compare the diagnostic accuracy of the two techniques.
In the five studies included, 530 patients were eligible for this meta-analysis. For SMI, the pooled SEN and SPE were 0.75 (95% confidence interval [CI]: 0.69-0.91) and 0.88 (95% CI: 0.83-0.91), respectively, LR+ was 5.75 (95% CI: 4.26-7.78), LR- was 0.29 (95% CI: 0.23-0.36), DOR was 21.42 (95% CI, 13.61-33.73), and AUC was 0.8871. For CEUS, the pooled SEN and SPE were 0.87 (95% CI: 0.82-0.91) and 0.86 (95% CI: 0.82-0.89), respectively, LR+ was 5.92 (95% CI: 4.21-8.33), LR- was 0.16 (95% CI: 0.11-0.25), DOR was 38.27 (95% CI: 18.73-78.17), and AUC was 0.9210.
Adding CEUS and (or) SMI to conventional US could improve its diagnostic performance in differentiating benign from malignant solid breast lesions.
探讨超声造影(CEUS)和超微血管成像(SMI)在乳腺病变诊断中相对于传统超声(US)的附加值。
检索2015年11月至2021年11月期间PubMed、EMBASE、Web of Science、中国知网数据库、中国生物医学文献数据库和万方数据库中的相关研究。采用诊断研究质量评估(QUADAS)工具对纳入研究的质量进行评估。使用Meta-Disc 1.4版计算灵敏度(SEN)、特异度(SPE)、阳性似然比(LR+)、阴性似然比(LR-)、曲线下面积(AUC)和诊断比值比(DOR)。使用STATA 16.0软件进行Meta回归分析,以比较两种技术的诊断准确性。
在纳入的五项研究中,530例患者符合本Meta分析的条件。对于SMI,合并的SEN和SPE分别为0.75(95%置信区间[CI]:0.69 - 0.91)和0.88(95% CI:0.83 - 0.91),LR+为5.75(95% CI:4.26 - 7.78),LR-为0.29(95% CI:0.23 - 0.36),DOR为21.42(95% CI,13.61 - 33.73),AUC为0.8871。对于CEUS,合并的SEN和SPE分别为0.87(95% CI:0.82 - 0.91)和0.86(95% CI:0.82 - 0.89),LR+为5.92(95% CI:4.21 - 8.33),LR-为0.16(95% CI:0.11 - 0.25),DOR为38.27(95% CI:18.73 - 78.17),AUC为0.9210。
在传统US基础上增加CEUS和(或)SMI可提高其鉴别乳腺实性良恶性病变的诊断性能。