Hu Xiangdong, Liu Yujiang, Qian Linxue
Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Medicine (Baltimore). 2017 Oct;96(43):e8282. doi: 10.1097/MD.0000000000008282.
Real-time elastography (RTE) and shear wave elastography (SWE) are noninvasive and easily available imaging techniques that measure the tissue strain, and it has been reported that the sensitivity and the specificity of elastography were better in differentiating between benign and malignant thyroid nodules than conventional technologies.
Relevant articles were searched in multiple databases; the comparison of elasticity index (EI) was conducted with the Review Manager 5.0. Forest plots of the sensitivity and specificity and SROC curve of RTE and SWE were performed with STATA 10.0 software. In addition, sensitivity analysis and bias analysis of the studies were conducted to examine the quality of articles; and to estimate possible publication bias, funnel plot was used and the Egger test was conducted.
Finally 22 articles which eventually satisfied the inclusion criteria were included in this study. After eliminating the inefficient, benign and malignant nodules were 2106 and 613, respectively. The meta-analysis suggested that the difference of EI between benign and malignant nodules was statistically significant (SMD = 2.11, 95% CI [1.67, 2.55], P < .00001). The overall sensitivities of RTE and SWE were roughly comparable, whereas the difference of specificities between these 2 methods was statistically significant. In addition, statistically significant difference of AUC between RTE and SWE was observed between RTE and SWE (P < .01).
The specificity of RTE was statistically higher than that of SWE; which suggests that compared with SWE, RTE may be more accurate on differentiating benign and malignant thyroid nodules.
实时弹性成像(RTE)和剪切波弹性成像(SWE)是无创且易于获得的成像技术,可测量组织应变,据报道,弹性成像在鉴别甲状腺良恶性结节方面的敏感性和特异性优于传统技术。
在多个数据库中检索相关文章;使用Review Manager 5.0进行弹性指数(EI)的比较。使用STATA 10.0软件绘制RTE和SWE的敏感性和特异性森林图以及SROC曲线。此外,对研究进行敏感性分析和偏倚分析以检查文章质量;为估计可能的发表偏倚,使用漏斗图并进行Egger检验。
本研究最终纳入22篇最终符合纳入标准的文章。剔除无效数据后,良性和恶性结节分别为2106个和613个。荟萃分析表明,良性和恶性结节之间的EI差异具有统计学意义(标准化均数差 = 2.11,95%置信区间[1.67, 2.55],P < .00001)。RTE和SWE的总体敏感性大致相当,而这两种方法之间的特异性差异具有统计学意义。此外,观察到RTE和SWE之间的AUC差异具有统计学意义(P < .01)。
RTE的特异性在统计学上高于SWE;这表明与SWE相比,RTE在鉴别甲状腺良恶性结节方面可能更准确。