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确定最佳甲状腺影像报告和数据系统:一项前瞻性研究,比较美国放射学会(ACR)、欧洲(EU)和韩国(K)甲状腺影像报告和数据系统(TIRADS)在评估甲状腺结节时的诊断性能。

Determining the Best Thyroid Imaging Reporting and Data System: A Prospective Study Comparing the Diagnostic Performance of ACR, EU, and K TIRADS in the Evaluation of Thyroid Nodules.

作者信息

Mohan Supraja Laguduva, Govindarajalou Ramkumar, Naik Dukhabandhu, Saxena Sunil Kumar, Toi Pampa Ch, V Gomathi Shankar

机构信息

Department of Radiodiagnosis, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

出版信息

Indian J Radiol Imaging. 2023 Oct 13;34(2):220-231. doi: 10.1055/s-0043-1775862. eCollection 2024 Apr.

Abstract

Many different risk stratification systems have been formulated for thyroid nodules, differing in their fine-needle aspiration cytology (FNAC) indication, suggesting a lack of consensus around the world.  This prospective study was conducted to find the best guideline for risk stratification, for a better malignancy yield, and with reduced rates of negative FNACs among three Thyroid Imaging, Reporting, and Data System (TIRADS) guidelines.  A total of 625 thyroid nodules with conclusive FNAC or histopathological diagnosis were included in the study. Various sonographic parameters were recorded. They were classified into categories as per the three guidelines and compared with FNAC diagnosis. The guidelines were evaluated in terms of sensitivity, specificity, predictive values, and diagnostic accuracy. Sensitivity and specificity were compared by McNemar's test.  American College of Radiology (ACR) TIRADS had the highest diagnostic accuracy (56.8%), specificity (50.75%), positive predictive value (23.92%), lowest rates of negative FNACs (76.08%), and high negative predictive value (97.84 %). Korean (K) TIRADS had the maximum sensitivity (97.75%), highest negative predictive value (98.44%), and gross malignancy yield. European TIRADS was between the two other guidelines in most parameters with specificity like K TIRADS.  All the three guidelines are very good screening tools, with comparable high sensitivity. ACR TIRADS is better in terms of specificity and reduced rates of negative FNACs. Including the presence of a suspicious cervical lymph node as a criterion and more frequent follow-up might further improve the diagnostic performance of the guideline.

摘要

针对甲状腺结节,已经制定了许多不同的风险分层系统,这些系统在细针穿刺细胞学检查(FNAC)的适应症方面存在差异,这表明全球范围内缺乏共识。本前瞻性研究旨在寻找最佳的风险分层指南,以提高恶性肿瘤的检出率,并降低三种甲状腺影像报告和数据系统(TIRADS)指南中FNAC阴性率。本研究共纳入625个经FNAC或组织病理学确诊的甲状腺结节。记录了各种超声参数。根据这三种指南将它们分类,并与FNAC诊断结果进行比较。从敏感性、特异性、预测值和诊断准确性方面对这些指南进行评估。通过McNemar检验比较敏感性和特异性。美国放射学会(ACR)TIRADS具有最高的诊断准确性(56.8%)、特异性(50.75%)、阳性预测值(23.92%)、最低的FNAC阴性率(76.08%)和较高的阴性预测值(97.84%)。韩国(K)TIRADS具有最高的敏感性(97.75%)、最高的阴性预测值(98.44%)和最高的总体恶性肿瘤检出率。欧洲TIRADS在大多数参数方面介于其他两种指南之间,其特异性与K TIRADS相似。这三种指南都是非常好的筛查工具,具有相当高的敏感性。ACR TIRADS在特异性和降低FNAC阴性率方面表现更好。将可疑颈部淋巴结的存在作为标准并增加随访频率可能会进一步提高该指南的诊断性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e58c/10972660/53ef93b64474/10-1055-s-0043-1775862-i2362718-1.jpg

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