Dipartimento di Medicina Interna e Specialità Mediche, Università di Roma "Sapienza," Rome, Italy.
Dipartimento di Scienze Radiologiche, Oncologiche ed Anatomo Patologiche, Università di Roma "Sapienza," Rome, Italy.
J Clin Endocrinol Metab. 2019 Jan 1;104(1):95-102. doi: 10.1210/jc.2018-01674.
The prevalence of thyroid nodules in the general population is increasingly high, and at least half of those biopsied prove to be benign. Sonographic risk-stratification systems are being proposed as "rule-out" tests that can identify nodules that do not require fine-needle aspiration (FNA) cytology.
To comparatively assess the performances of five internationally endorsed sonographic classification systems [those of the American Thyroid Association, the American Association of Clinical Endocrinologists, the American College of Radiology (ACR), the European Thyroid Association, and the Korean Society of Thyroid Radiology] in identifying nodules whose FNAs can be safely deferred and to estimate their negative predictive values (NPVs).
Prospective study of thyroid nodules referred for FNA.
Single academic referral center.
Four hundred seventy-seven patients (358 females, 75.2%); mean (SD) age, 55.9 (13.9) years.
Number of biopsies classified as unnecessary, false-negative rate (FNR), sensitivity, specificity, predictive values, and diagnostic ORs for each system.
Application of the systems' FNA criteria would have reduced the number of biopsies performed by 17.1% to 53.4%. The ACR Thyroid Imaging Reporting and Data System (TIRADS) allowed the largest reduction (268 of 502) with the lowest FNR (NPV, 97.8%; 95% CI, 95.2% to 99.2%). Except for the Korean Society of Thyroid Radiology TIRADS, all other systems exhibited significant discriminatory performance but produced significantly smaller reductions in the number of procedures.
Internationally endorsed sonographic risk stratification systems vary widely in their ability to reduce the number of unnecessary thyroid nodule FNAs. The ACR TIRADS outperformed the others, classifying more than half the biopsies as unnecessary with a FNR of 2.2%.
甲状腺结节在普通人群中的患病率越来越高,在进行活检的患者中至少有一半为良性。超声风险分层系统被提议作为“排除”检测方法,用于识别不需要进行细针抽吸细胞学检查(FNAC)的结节。
比较评估 5 种国际认可的超声分类系统(美国甲状腺协会、美国临床内分泌医师学会、美国放射学会、欧洲甲状腺协会和韩国甲状腺放射学会)在识别可以安全推迟 FNAC 的结节方面的表现,并估计其阴性预测值(NPV)。
甲状腺结节 FNAC 检查的前瞻性研究。
单一学术转诊中心。
477 例患者(358 例女性,75.2%);平均(SD)年龄为 55.9(13.9)岁。
每个系统中被归类为不必要的活检数量、假阴性率(FNR)、敏感性、特异性、预测值和诊断优势比。
应用这些系统的 FNAC 标准可使活检数量减少 17.1%至 53.4%。ACR 甲状腺影像报告和数据系统(TIRADS)允许最大程度的减少(268/502),假阴性率(NPV,97.8%;95%CI,95.2%~99.2%)最低。除了韩国甲状腺放射学会 TIRADS 外,所有其他系统的鉴别性能均有显著差异,但减少操作数量的效果明显较小。
国际认可的超声风险分层系统在减少不必要的甲状腺结节 FNAC 数量方面的能力差异很大。ACR TIRADS 的表现优于其他系统,将超过一半的活检归类为不必要,其假阴性率为 2.2%。