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Thyroid imaging reporting and data system (TI-RADS) in the diagnostic value of thyroid nodules: A systematic review

机译:甲状腺成像报告和数据系统(TI-RADS)在甲状腺结节的诊断价值:系统评价

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摘要

This review was to assess the overall diagnostic accuracy of thyroid imaging reporting and data system (TI-RADS) classification in the differentiated diagnosis of patients with thyroid nodules. The diagnostic accuracy of TI-RADS was identified by using data from PubMed, the Cochrane Library, and other databases, which was from Jan 1966 to Dec 2013. Meta-analysis methods were used to obtain pooled sensitivity, specificity, negative likelihood ratio, positive likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curves. A total of five studies with 7,753 thyroid nodules enrolled met the inclusion criteria in this meta-analysis. TI-RADS had a pooled sensitivity of 0.75 (95 % confidence interval 0.72-0.78) and a pooled specificity of 0.69 (95 % confidence interval 0.68-0.70). The pooled diagnostic odds ratio was 24.28 (95 % confidence interval 14.25-41.38). The overall area under the curve was 0.9177, and the Q* index was 0.8304. The TI-RADS classification was the accurate diagnostic technique for differentiating thyroid nodules.
机译:这项审查旨在评估甲状腺影像学报告和数据系统(TI-RADS)分类对甲状腺结节患者的鉴别诊断的总体诊断准确性。 TI-RADS的诊断准确性通过使用PubMed,Cochrane图书馆和其他数据库(从1966年1月至2013年12月)的数据进行鉴定。荟萃分析方法用于获得综合敏感性,特异性,阴性可能性比,阳性似然比,诊断比值比和摘要接收器工作特性曲线。总共有5个研究纳入了7753个甲状腺结节,符合这项荟萃分析的纳入标准。 TI-RADS的合并灵敏度为0.75(95%置信区间0.72-0.78),合并特异性为0.69(95%置信区间0.68-0.70)。合并诊断比值比为24.28(95%置信区间14.25-41.38)。曲线下的总面积为0.9177,Q *指数为0.8304。 TI-RADS分类是区分甲状腺结节的准确诊断技术。

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