确定最佳甲状腺影像报告和数据系统:比较ACR、EU和K TIRADS在甲状腺结节评估中的诊断性能的前瞻性研究

IF 0.9 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Indian Journal of Radiology and Imaging Pub Date : 2023-10-13 DOI:10.1055/s-0043-1775862
Supraja Laguduva Mohan, Ramkumar Govindarajalou, Dukhabandhu Naik, Sunil Kumar Saxena, Pampa Ch. Toi, Gomathi Shankar V.
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引用次数: 0

摘要

背景:针对甲状腺结节制定了许多不同的风险分层系统,其细针穿刺细胞学(FNAC)适应症不同,表明在世界范围内缺乏共识。目的:本前瞻性研究旨在寻找三种甲状腺成像、报告和数据系统(TIRADS)指南中风险分层的最佳指南,以获得更好的恶性肿瘤发生率,并降低FNACs阴性率。材料与方法本研究共纳入625例经FNAC或组织病理学确诊的甲状腺结节。记录各种超声参数。将其按照三个指南进行分类,并与FNAC诊断进行比较。根据敏感性、特异性、预测值和诊断准确性对指南进行评估。采用McNemar试验比较敏感性和特异性。结果美国放射学会(American College of Radiology, ACR) TIRADS诊断准确率最高(56.8%),特异性最高(50.75%),阳性预测值最高(23.92%),FNACs阴性率最低(76.08%),阴性预测值最高(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%)和总恶性肿瘤发生率。欧洲TIRADS与K TIRADS一样,在大多数具有特异性的参数上介于其他两种指南之间。结论3种指南都是很好的筛查工具,具有相当高的灵敏度。ACR TIRADS在特异性和降低FNACs阴性率方面更好。将可疑颈淋巴结的存在作为一项标准和更频繁的随访可能会进一步提高指南的诊断效果。
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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
Abstract Background 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. Purpose 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. Materials and Methods 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. Results 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. Conclusion 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.
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来源期刊
Indian Journal of Radiology and Imaging
Indian Journal of Radiology and Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.20
自引率
0.00%
发文量
115
审稿时长
45 weeks
期刊介绍: Information not localized
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