摘要
目的采用Meta分析评价超声弹性成像及常规超声对甲状腺结节的诊断价值。资料与方法以＂超声弹性成像、常规超声、甲状腺结节、elastosonography、ultrasonography、thyroid nodules＂为检索词检索1980-2013年中国知网、万方数据库、OVID、Cochrane图书馆、Pub Med、Embase等数据库收录的文献。选取应用超声弹性成像及常规超声诊断甲状腺结节的临床研究,对符合要求的文献进行质量评价和异质性检验,汇总合并特异度和敏感度,并进行综合ROC曲线分析。结果共纳入14篇文献,其中中文10篇,英文4篇。异质性检验发现常规超声与超声弹性成像、两者联合诊断的敏感度均存在异质性。常规超声、超声弹性成像及两者联合的合并敏感度分别为0.82（95%CI 0.79~0.85）、0.61（95%CI 0.57~0.64）、0.93（95%CI0.90~0.95）,合并特异度分别为0.70（95%CI 0.68~0.72）、0.84（95%CI 0.82~0.86）、0.69（95%CI 0.67~0.72）,综合ROC曲线下面积分别为0.8549、0.8925、0.9614。纳入文献稳定性好。结论超声弹性成像诊断甲状腺结节的良恶性优于常规超声,两者联合诊断效果更好。
Purpose Meta-analysis was performed to compare elastosonography and routine ultrasonography in the diagnosis of thyroid nodules. Materials and Methods Extensive literature search ofCNKI, Wanfang data, OVID, the Cochrane Library, PubMed and Embase from 1980 to 2013 was performed using elastosonography, ultrasonography and thyroid nodules as key words. Clinical trials utilizing elastosonograpy and routine ultrasonography were selected. The quality and heterogeneity were evaluated. Specificity and specificity were summarized to generate receiver operating characteristic curves. Results Fourteen studies were selected including 10 literature in Chinese and 4 in English. There was significant heterogeneity in the sensitivity. The sensitivity for routine ultrasound, elastosonography and two techniques combined was 0.82 （95% CI 0.79-0.85）, 0.61 （95% CI 0.57-0.64） and 0.93 （95% CI0.90-0.95）, respectively; with specificity of 0.70 （95% CI 0.68-0.72）, 0.84 （95% CI 0.82-0.86） and 0.69 （95% CI 0.67-0.72）. The summery area under curve was 0.8549, 0.8925 and 0.9614, respectively. Conclusion Evaluation of thyroid nodules using elastosonography is more sensitive and specific than routine ultrasonography. Combining elastosonography and routine ultrasonography provides better diagnostic accuracy.
出处
《中国医学影像学杂志》
CSCD
北大核心
2015年第1期45-49,55,共6页
Chinese Journal of Medical Imaging
关键词
甲状腺结节
超声检查
弹性成像技术
诊断
鉴别
META分析
Thyroid nodule
Ultrasonography
Elasticity imaging techniques
Diagnosis,differential
Meta-analysis
