切换至 "中华医学电子期刊资源库"

中华普通外科学文献(电子版) ›› 2023, Vol. 17 ›› Issue (06) : 401 -407. doi: 10.3877/cma.j.issn.1674-0793.2023.06.001

论著

甲状腺结节恶性风险分层(指南):ACR TI-RADS与C-TIRADS诊断效能及不同医师使用指南一致性的多中心回顾性比较研究
李俊, 彭健韵, 邱婉冰, 窦倩怡, 潘福顺, 梁瑾瑜()   
  1. 510080 广州,中山大学附属第一医院超声科;510515 广州,南方医科大学南方医院惠侨医疗中心
    510080 广州,中山大学附属第一医院超声科
  • 收稿日期:2023-09-28 出版日期:2023-12-01
  • 通信作者: 梁瑾瑜
  • 基金资助:
    国家自然科学基金资助项目(82001825)

Risk stratification of malignant thyroid nodules (guidelines): A comparative study of diagnostic efficacy of ACR TI-RADS versus C-TIRADS and consistency of guideline application by different physicians

Jun Li, Jianyun Peng, Wanbing Qiu, Qianyi Dou, Fushun Pan, Jinyu Liang()   

  1. Department of Medical Ultrasonics, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China; Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
    Department of Medical Ultrasonics, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
  • Received:2023-09-28 Published:2023-12-01
  • Corresponding author: Jinyu Liang
引用本文:

李俊, 彭健韵, 邱婉冰, 窦倩怡, 潘福顺, 梁瑾瑜. 甲状腺结节恶性风险分层(指南):ACR TI-RADS与C-TIRADS诊断效能及不同医师使用指南一致性的多中心回顾性比较研究[J]. 中华普通外科学文献(电子版), 2023, 17(06): 401-407.

Jun Li, Jianyun Peng, Wanbing Qiu, Qianyi Dou, Fushun Pan, Jinyu Liang. Risk stratification of malignant thyroid nodules (guidelines): A comparative study of diagnostic efficacy of ACR TI-RADS versus C-TIRADS and consistency of guideline application by different physicians[J]. Chinese Archives of General Surgery(Electronic Edition), 2023, 17(06): 401-407.

目的

比较使用ACR TI-RADS及C-TIRADS两种指南对甲状腺恶性结节的诊断效能、推荐细针穿刺活栓(FNA)的价值及不同医师应用指南的一致性。

方法

使用ACR TI-RADS及C-TIRADS分类方法,回顾性分析多中心医院2009年1月至2018年11月直径≥1 cm的3 018个甲状腺结节超声图像。以病理结果为"金标准"构建ROC曲线,比较两种指南的诊断效能,分析两种指南ROC曲线下面积(AUC)、敏感度、特异度、Youden指数及准确性、不必要穿刺率、是否推荐FNA的一致性。

结果

ACR TI-RADS及C-TIRADS的AUC为0.892、0.884;ACR TI-RADS的准确性、敏感度、特异度分别为0.812、0.668、0.926,C-TIRADS分别为0.811、0.735、0.870。ACR TI-RADS、C-TIRADS的不必要穿刺率分别为40.2%、31.9%;ACR TI-RADS推荐结节FNA的一致性良好,C-TIRADS推荐结节FNA一致性中等(Fleiss’s Kappa值分别为0.713、0.601)。

结论

ACR TI-RADS诊断效能优于C-TIRADS;ACR TI-RADS具有更高的特异度及AUC,C-TIRADS具有更高的敏感度。C-TIRADS的不必要穿刺率更低;ACR TI-RADS推荐FNA一致性更高。

Objective

To compare the diagnostic efficacy of ACR TI-RADS and C-TIRADS for malignant thyroid nodules, the value of recommending fine-needle aspiration biopsy (FNA), and the consistency in the application of the guidelines by physicians.

Methods

Using the ACR TI-RADS and C-TIRADS classification methods, ultrasography images of 3 018 thyroid nodules (size≥1 cm) from January 2009 to November 2018 in 5 hospitals were retrospectively analyzed. The receiver operating characteristics (ROC) curves were constructed using pathological findings as the gold standard to compare the diagnostic efficacy of the two guidelines. Area under the ROC curve (AUC), diagnostic sensitivity, specificity, Youden index and accuracy, and consistency of whether recommending FNA were analyzed to test the clinical applicability of the two guidelines.

Results

The AUC of ACR TI-RADS and C-TIRADS were 0.892 and 0.884; the accuracy, sensitivity, and specificity of ACR TI-RADS were 0.812, 0.668, and 0.926, and of C-TIRADS were 0.811, 0.735, and 0.870. The unnecessary puncture rates for ACR TI-RADS and C-TIRADS were 40.2% and 31.9%; the concordance of FNA of the recommended nodes for ACR TI-RADS was good, while C-TIRADS was moderate (Fleiss’s Kappa=0.713 and 0.601).

Conclusions

ACR TI-RADS has better diagnostic efficacy than C-TIRADS. ACR TI-RADS has higher specificity and AUC, and C-TIRADS has higher sensitivity. C-TIRADS has lower unnecessary puncture rate and ACR TI-RADS has higher consistency in recommending FNA.

表1 数据来源及病理结果(个)
表2 甲状腺良、恶性结节一般资料的对比
图1 ACR TI-RADS、C-TIRADS对结节诊断效能的受试者工作特征曲线
表3 ACR TI-RADS及C−TIRADS分类及与病理结果的对照[例(%)]
表4 ACR TI-RADS及C-TIRADS的诊断效能对比
[1]
Grani G, Sponziello M, Pecce V, et al. Contemporary thyroid nodule evaluation and management[J]. J Clin Endocrinol Metab, 2020, 105(9): 2869-2883.
[2]
Singh Ospina N, Iniguez-Ariza NM, Castro MR. Thyroid nodules: diagnostic evaluation based on thyroid cancer risk assessment[J]. BMJ, 2020, 368: l6670.
[3]
Haugen BR, Alexander EK, Bible KC, et al. 2015 American Thyroid Association Management Guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer[J]. Thyroid, 2016, 26(1): 1-133.
[4]
Paschou SA, Vryonidou A, Goulis DG. Thyroid nodules: Alpha guide to assessment, treatment and follow-up[J]. Maturitas, 2017, 96: 1-9.
[5]
Wong R, Farrell SG, Grossmann M. Thyroid nodules: diagnosis and management[J]. Med J Aust, 2018, 209(2): 92-98.
[6]
Kwak JY, Han KH, Yoon JH, et al. Thyroid imaging reporting and data system for US features of nodules: A step in establishing better stratification of cancer risk[J]. Radiology, 2011, 260(3): 892-899.
[7]
Tessler FN, Middleton WD, Grant EG, et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee[J]. J Am Coll Radiol, 2017, 14(5): 587-595.
[8]
Shin JH, Baek JH, Chung J, et al. Ultrasonography diagnosis and imaging-based management of thyroid nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations[J]. Korean J Radiol, 2016, 17(3): 370-395.
[9]
Russ G, Bonnema SJ, Erdogan MF, et al. European Thyroid Association Guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: The EU-TIRADS[J]. Eur Thyroid J, 2017, 6(5): 225-237.
[10]
Zhou J, Yin L, Wei X, et al. 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS[J]. Endocrine, 2020, 70(2): 256-279.
[11]
颉剑锋, 程晓桥, 刘翠云, 等. C-TIRADS与ACR TI-RADS对甲状腺良恶性结节鉴别诊断价值的对比研究[J]. 现代肿瘤医学, 2023, 31(8): 1490-1496.
[12]
乔敏, 冯尚勇, 沈德娟, 等. 中国甲状腺影像报告和数据系统对甲状腺结节良恶性的鉴别诊断[J]. 中国医学影像学杂志, 2021, 29(11): 1070-1075.
[13]
Durante C, Grani G, Lamartina L, et al. The diagnosis and management of thyroid nodules: A review[J]. JAMA, 2018, 319(9): 914-924.
[14]
Papapostolou KD, Evangelopoulou CC, Ioannidis IA, et al. Taller-than-wide thyroid nodules with microcalcifications are at high risk of malignancy[J]. In Vivo, 2020, 34(4): 2101-2105.
[15]
Cavallo A, Johnson DN, White MG, et al. Thyroid nodule size at ultrasound as a predictor of malignancy and final pathologic size[J]. Thyroid, 2017, 27(5): 641-650.
[16]
Wang M, Sun P, Zhao X, et al. Ultrasound parameters of thyroid nodules and the risk of malignancy: A retrospective analysis[J]. Cancer Control, 2020, 27(1): 1073274820945976.
[17]
Ha EJ, Na DG, Baek JH, et al. US fine-needle aspiration biopsy for thyroid malignancy: diagnostic performance of seven society guidelines applied to 2 000 thyroid nodules[J]. Radiology, 2018, 287(3): 893-900.
[18]
Qi Q, Zhou A, Guo S, et al. Explore the diagnostic efficiency of Chinese Thyroid Imaging Reporting and Data Systems by comparing with the other four systems (ACR TI-RADS, Kwak-TIRADS, KSThR-TIRADS, and EU-TIRADS): A single-center study[J]. Front Endocrinol (Lausanne), 2021, 12: 763897.
[19]
丁思悦, 丁全全, 王雁, 等. C-TIRADS与ACR TI-RADS在甲状腺结节中的诊断效能对比研究[J]. 中国超声医学杂志, 2021, 37(9): 964-967.
[20]
赵璐璐, 盛建国, 刘怡, 等. C-TIRADS与ACR TI-RADS对甲状腺结节诊断效能的分析[J]. 上海医学, 2023, 46(3): 156-160.
[21]
Qi TY, Chen X, Liu H, et al. Comparison of thyroid nodule FNA rates recommended by ACR TI-RADS, Kwak TI-RADS and ATA guidelines[J]. Eur J Radiol, 2022, 148: 110152.
[22]
曾艳贞, 傅仲带, 李雄牡, 等. 探讨中国甲状腺影像报告和数据系统对甲状腺结节良恶性的诊断价值[J]. 现代医院, 2022, 22(11): 1780-1782; 1780-1782, 1786.
[23]
Zhang F, Oluwo O, Castillo FB, et al. Thyroid nodule location on ultrasonography as a predictor of malignancy[J]. Endocr Pract, 2019, 25(2): 131-137.
[1] 张茜, 陈佳慧, 高雪萌, 赵傲雪, 黄瑛. 基于高帧频超声造影的影像组学特征鉴别诊断甲状腺结节良恶性的价值[J]. 中华医学超声杂志(电子版), 2023, 20(09): 895-903.
[2] 丁雷, 罗文, 杨晓, 庞丽娜, 张佩蒂, 刘海静, 袁佳妮, 刘瑾. 高帧频超声造影在评价C-TIRADS 4-5类甲状腺结节成像特征中的应用[J]. 中华医学超声杂志(电子版), 2023, 20(09): 887-894.
[3] 李卫民, 陈军民, 黄艳丽, 范晓芳, 韩文, 贾磊, 张俊超, 瞿辰. 基于中国甲状腺超声报告与数据系统分析超声在不同大小甲状腺结节中的诊断价值[J]. 中华医学超声杂志(电子版), 2023, 20(07): 743-748.
[4] 付泽辉, 王思齐, 卢叶君, 张剑, 贺烨, 陈卉. 超声对易误诊的等回声、高回声甲状腺结节良恶性的鉴别[J]. 中华医学超声杂志(电子版), 2023, 20(05): 517-523.
[5] 郭云云, 解翔, 彭梅, 姜凡, 毕玉, 何年安, 胡蕾, 杨杨, 王涛, 石玉洁, 陈冬冬. ACR-TIRADS与C-TIRADS分类分别联合二维剪切波弹性成像对甲状腺结节分类的诊断效能——多中心回顾性研究[J]. 中华医学超声杂志(电子版), 2023, 20(05): 511-516.
[6] 郭东, 姚春, 庞海苏, 单悦. 超声微血流成像联合弹性成像评分对甲状腺TI-RADS 4类结节良恶性的鉴别诊断价值[J]. 中华医学超声杂志(电子版), 2022, 19(10): 1098-1102.
[7] 付泽辉, 卢叶君, 张剑, 莫晓民, 贺烨, 张晓青, 陶楚楚, 陈卉. 常规超声特征联合内部粗大钙化特征鉴别甲状腺结节良恶性的价值[J]. 中华医学超声杂志(电子版), 2022, 19(08): 767-773.
[8] 李盈盈, 李欣洋, 阎琳, 肖静, 张明博, 罗渝昆. S-detect技术辅助住院医师诊断甲状腺影像报告和数据系统4类≤1 cm甲状腺结节的应用价值[J]. 中华医学超声杂志(电子版), 2022, 19(07): 682-687.
[9] 康亚宁, 付超, 司彩凤, 郭艳飞, 李静, 崔可飞. 不同TI-RADS分类系统对甲状腺结节的诊断效能对比研究[J]. 中华医学超声杂志(电子版), 2022, 19(06): 561-566.
[10] 刘如玉, 姜玉新, 赵瑞娜, 王莹, 赖兴建, 朱沈玲, 杨筱, 张晓燕, 高璐滢, 席雪华, 高琼, 张波. 三维超声与二维超声对甲状腺结节恶性风险分级评估的对比研究[J]. 中华医学超声杂志(电子版), 2022, 19(04): 317-324.
[11] 广旸, 何文, 吴佳俊, 赵明昌, 张雨康, 万芳. 基于深度学习的甲状腺结节超声图像分割的临床应用[J]. 中华医学超声杂志(电子版), 2022, 19(03): 206-211.
[12] 李帅, 樊秀齐, 康春松, 薛继平, 苗俊旺. 甲状腺结节杨氏模量最大值的影响因素及其对结节性质的鉴别诊断价值[J]. 中华医学超声杂志(电子版), 2021, 18(12): 1185-1190.
[13] 柴吉鑫, 张雪, 何时知, 齐艳涛, 王婧婧, 敖亚洲, 陈泳. 不同穿刺方法对甲状腺结节细胞学检查的应用[J]. 中华普外科手术学杂志(电子版), 2023, 17(03): 315-318.
[14] 王佳讯, 陈毓菁, 梁展鹏, 伍卓强, 邬家明, 林毅迪. 超声TI-RADS分类与细针穿刺活检在诊断甲状腺恶性结节中的临床应用[J]. 中华介入放射学电子杂志, 2022, 10(01): 61-64.
[15] 徐婷婷, 赵国政, 刘淑萍, 龚凤玲, 贾利花, 李利. 咽食管憩室的超声诊断学特征分析[J]. 中华诊断学电子杂志, 2022, 10(02): 73-76.
阅读次数
全文


摘要