Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Thyroid. 2020 Aug;30(8):1159-1168. doi: 10.1089/thy.2019.0812. Epub 2020 May 19.
Several ultrasound (US)-based risk stratification systems have been increasingly used for the optimal management of thyroid nodules. However, there are considerable discrepancies across these systems. This study aimed to summarize and compare the category-based diagnostic performance in the detection of thyroid cancer of different US-based risk stratification systems from four societies: the American College of Radiology-Thyroid Imaging Reporting and Data System (ACR-TIRADS), the American Thyroid Association (ATA), the Korean Thyroid Association/Korean Society of Thyroid Radiology (KTA/KSThR; K-TIRADS), and the European Thyroid Association (EU-TIRADS). MEDLINE/PubMed and EMBASE databases were searched to identify original articles investigating the category-based diagnostic performance according to at least one of the following guidelines: ACR-TIRADS, ATA, K-TIRADS, and EU-TIRADS. Pooled sensitivity and specificity were calculated using a bivariate random-effects model. A subgroup analysis on nodules of 1 cm or larger and a meta-regression analysis to identify factors associated with the diagnostic performance were performed. A total of 29 articles including 33,748 thyroid nodules met the eligibility criteria and were included in the analysis. For ACR-TIRADS, the pooled sensitivity and specificity were, respectively, 66% and 91% for category 5 and 95% and 55% for category 4 or 5. For ATA, the pooled sensitivity and specificity were, respectively, 74% and 88% for category 5 and 91% and 64% for category 4 or 5. For K-TIRADS, the pooled sensitivity and specificity were, respectively, 55% and 95% for category 5 and 89% and 64% for category 4 or 5. For EU-TIRADS, the pooled sensitivity and specificity were, respectively, 82% and 90% for category 5 and 96% and 52% for category 4 or 5. Study location, proportion of female patients and malignant nodules, and study design were associated with study heterogeneity. The overall diagnostic performance of the four US-based risk stratification systems was comparable.
几种基于超声(US)的风险分层系统已越来越多地用于甲状腺结节的最佳管理。然而,这些系统之间存在相当大的差异。本研究旨在总结和比较四个学会的基于 US 的风险分层系统的基于类别诊断性能,以检测甲状腺癌:美国放射学院-甲状腺成像报告和数据系统(ACR-TIRADS)、美国甲状腺协会(ATA)、韩国甲状腺协会/韩国甲状腺放射学会(KTA/KSThR;K-TIRADS)和欧洲甲状腺协会(EU-TIRADS)。通过 MEDLINE/PubMed 和 EMBASE 数据库搜索,以确定根据以下至少一个指南调查基于类别诊断性能的原始文章:ACR-TIRADS、ATA、K-TIRADS 和 EU-TIRADS。使用双变量随机效应模型计算合并敏感性和特异性。对直径为 1cm 或更大的结节进行亚组分析,并进行元回归分析以确定与诊断性能相关的因素。
共有 29 篇文章,包括 33748 个甲状腺结节,符合纳入标准并纳入分析。对于 ACR-TIRADS,5 类的合并敏感性和特异性分别为 66%和 91%,4 类或 5 类的合并敏感性和特异性分别为 95%和 55%。对于 ATA,5 类的合并敏感性和特异性分别为 74%和 88%,4 类或 5 类的合并敏感性和特异性分别为 91%和 64%。对于 K-TIRADS,5 类的合并敏感性和特异性分别为 55%和 95%,4 类或 5 类的合并敏感性和特异性分别为 89%和 64%。对于 EU-TIRADS,5 类的合并敏感性和特异性分别为 82%和 90%,4 类或 5 类的合并敏感性和特异性分别为 96%和 52%。研究地点、女性患者和恶性结节的比例以及研究设计与研究异质性相关。
这四个基于 US 的风险分层系统的总体诊断性能相当。