切换至 "中华医学电子期刊资源库"

中华医学超声杂志(电子版) ›› 2019, Vol. 16 ›› Issue (08) : 597 -601. doi: 10.3877/cma.j.issn.1672-6448.2019.08.009

所属专题: 文献

浅表器官超声影像学

甲状腺超声影像报告和数据系统对甲状腺结节良恶性的鉴别诊断价值
卢晓玲1, 黄鹏飞2, 田付丽2, 谢迎东2, 孙帼2, 黄丽2, 宫锦霞2, 杨斌2,()   
  1. 1. 210009 南京,东南大学附属中大医院超声诊断科
    2. 210002 南京,东部战区总医院超声诊断科
  • 收稿日期:2017-10-17 出版日期:2019-08-01
  • 通信作者: 杨斌

Value of thyroid imaging reporting and data system in differential diagnosis of benign and malignant thyroid nodules

Xiaoling Lu1, Pengfei Huang2, Fuli Tian2, Yingdong Xie2, Guo Sun2, Li Huang2, Jinxia Gong2, Bin Yang2,()   

  1. 1. Department of Ultrasonography, Zhongda Hospital, Southeast University, Nanjing 210009, China
    2. Department of Ultrasonography, General Hospital of Eastern Theater Command, Nanjing 210002, China
  • Received:2017-10-17 Published:2019-08-01
  • Corresponding author: Bin Yang
  • About author:
    Corresponding author: Yang Bin, Email:
引用本文:

卢晓玲, 黄鹏飞, 田付丽, 谢迎东, 孙帼, 黄丽, 宫锦霞, 杨斌. 甲状腺超声影像报告和数据系统对甲状腺结节良恶性的鉴别诊断价值[J]. 中华医学超声杂志(电子版), 2019, 16(08): 597-601.

Xiaoling Lu, Pengfei Huang, Fuli Tian, Yingdong Xie, Guo Sun, Li Huang, Jinxia Gong, Bin Yang. Value of thyroid imaging reporting and data system in differential diagnosis of benign and malignant thyroid nodules[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2019, 16(08): 597-601.

目的

探讨2017年美国放射学会(ACR)提出的甲状腺超声影像报告和数据系统(TI-RADS)鉴别诊断甲状腺结节良恶性的效能及其应用价值。

方法

回顾性分析2016年11月及12月东部战区总医院收治的经细针穿刺活检(FNA)或手术病理证实的甲状腺结节患者176例,共216个结节。根据TI-RADS分类对结节的超声特征(包括结构、回声、形态、边缘、局灶性强回声)量化评分,根据结节大小将结节分为FNA组、随访组、不予处理组。采用χ2检验比较TI-RADS分类鉴别诊断甲状腺结节良恶性与病理结果差异。以病理结果作为"金标准",绘制TI-RADS分类鉴别诊断甲状腺结节良恶性的受试者操作特征(ROC)曲线。

结果

216个甲状腺结节中,良性84个,恶性132个。TI-RADS 1、2、3、4、5类结节分别为3、24、23、60、106个,恶性率分别为0、0、17.3%(4/23)、48.3%(29/60)、93.4%(99/106)。以TI-RADS 1~3类判为良性,TI-RADS 4、5类判为恶性,TI-RADS分类鉴别诊断甲状腺结节良恶性与病理结果比较,差异有统计学意义(χ2=77.222,P<0.001)。TI-RADS分类鉴别诊断甲状腺结节良恶性的敏感度、特异度、阳性预测值、阴性预测值分别为97.0%、54.2%、77.2%、91.8%。ROC曲线显示,TI-RADS分类鉴别诊断甲状腺结节良恶性的最佳阈值为5.5分,曲线下面积(AUC)为0.918,标准误为0.019,95%CI为0.881~0.956,约登指数为0.699。TI-RADS 1、2类结节均为不予处理组,良性率为100.0%(3/3,24/24);3类结节FNA组、随访组、不予处理组恶性率分别为18.2%(2/11)、0、25.0%(2/8);4类结节3组恶性率分别为31.0%(9/29)、63.6%(7/11)、65.0%(13/20);5类结节3组恶性率分别为96.3%(52/54)、88.9%(40/45)、100.0%(7/7)。

结论

TI-RADS分类能有效鉴别甲状腺结节良恶性,尤其是对甲状腺良性结节,有较高的诊断能力。TI-RADS 3类及以上不同大小的甲状腺结节均有恶性可能,应用TI-RADS分类判断可疑恶性的甲状腺结节是否行FNA时可放宽大小指征。

Objective

To assess the value of the thyroid imaging reporting and data system (TI-RADS), which was developed by the American College of Radiology in 2017, in diagnosing benign and malignant thyroid nodules.

Methods

A total of 176 patients with 216 thyroid nodules were retrospectively collected in this study at General Hospital of Eastern Theater Command. They were quantitatively evaluated for ultrasound features (structure, echo, morphology, margins, and focal echogenicity) by using the 2017 TI-RADS ultrasonographic stratification and were divided into a fine needle aspiration (FNA), a follow-up group, and an undealt group according to nodule size. The results were compared with FNA or surgery-based pathological results. The results of TI-RADS stratification between benign and malignant thyroid nodules were compared by the chi-square test. The receiver operating characteristic (ROC) curve analysis was conducted to determine the diagnostic values of thyroid TI-RADS stratification.

Results

There were 84 benign and 132 malignant nodules in 216 thyroid nodules. They were classified into five categories according to the scores 0-14. The malignant rates of TI-RADS 1, 2, 3, 4, and 5 were 0, 0, 17.3%(4/23), 48.3%(29/60), and 93.4%(99/106), respectively. When TI-RADS 1, 2, and 3 thyroid nodules were classified as benign nodules, and TI-RADS 4 and 5 categories were classified as malignant nodules, the sensitivity, specificity, positive predictive value, and negative predictive value were 97.0%, 54.2%, 77.2%, and 91.8%, respectively. The area under the ROC curve was 0.918 (95% confidence interval [CI]: 0.881-0.956), and the Youden index was 0.699 with a critical value of 5.5. There was a statistically significant difference between TI-RADS stratification and pathological examination (χ2=77.222, Ρ<0.001). TI-RADS 1 and 2 nodules belonged to the undealt group. The rates of malignancy in TI-RADS 3 nodules were 18.2%(2/11), 0, and 25.0%(2/8) in the FNA group, follow-up group, and undealt group, respectively; the corresponding rates in TI-RADS 4 and 5 nodules were 31.0%(9/29), 63.6%(7/11), and 65.0%(13/20), and 96.3%(52/54), 88.9%(40/45), and 100.0%(7/7), respectively.

Conclusion

The TI-RADS classification of thyroid nodules has a high accuracy to identify benign and malignant nodules, especially benign nodules. Since TI-RADS 3 and above nodules of different sizes are all likely to be malignant, the indications for FNA of suspected malignant thyroid nodules according to TI-RADS classification in terms of nodule size may not be strictly obeyed.

图1 甲状腺结节超声声像图。图a为囊性结节,0分,TI-RADS 1类,病理结果:甲状腺滤泡上皮增生,考虑甲状腺良性病变;图b为囊实性复合结节,2分,TI-RADS 2类,病理结果:结节性甲状腺肿伴肿瘤形成;图c为实性等回声结节,3分,TI-RADS 3类,病理结果:结节性甲状腺肿伴局灶性滤泡增生结节形成;图d为实性低回声结节,6分,TI-RADS 4类,病理结果:甲状腺乳头状癌;图e为极低回声结节,7分,TI-RADS 5类,病理结果:考虑良性病变可能性大;图f为实性低回声伴微钙化结节,10分,TI-RADS 5类,病理结果:甲状腺乳头状癌。TI-RADS为甲状腺超声影像报告和数据系统
表1 216个甲状腺结节TI-RADS分类与病理结果[个(%)]
表2 TI-RADS分类鉴别诊断甲状腺结节良恶性的价值(个)
图2 甲状腺超声影像报告和数据系统鉴别诊断甲状腺结节良恶性的受试者操作特征曲线。曲线下面积为0.918
表3 不同TI-RADS分类甲状腺结节不同处理方法的病理诊断结果[%(个/个)]
1
Horvath E, Majlis S, Rossi R, et al. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management [J]. J Clin Endocrinol Metab, 2009, 94(5): 1748-1751.
2
Grant EG, Tessler FN, Hoang JK, et al. Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee [J]. J Am Coll Radiol, 2015, 12(12 Pt A): 1272-1279.
3
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.
4
Tessler FN, Middleton WD, Grant EG. Thyroid Imaging Reporting and Data System (TI-RADS): A User′s Guide [J]. Radiology, 2018, 287(1): 29-36.
5
Middleton WD, Teefey SA, Reading CC, et al. Multiinstitutional Analysis of Thyroid Nodule Risk Stratification Using the American College of Radiology Thyroid Imaging Reporting and Data System [J]. AJR Am J Roentgenol, 2017, 208(6): 1331-1341.
6
刘春蕊, 黄鹏飞, 谢迎东, 等. 超声造影定性分析鉴别诊断甲状腺良恶性结节的价值 [J/CD]. 中华医学超声杂志: 电子版, 2017, 14(3): 220-225.
7
陈晓康, 陈少华, 吕国荣. 超声TI-RADS分类对甲状腺结节的诊断价值 [J]. 中国超声医学杂志, 2012, 28(12): 1066-1068.
8
吴昊, 陈琴, 周青, 等. 评价剪切波弹性成像结合超声造影对甲状腺TI-RADS 3、4类结节的鉴别诊断价值 [J]. 中国超声医学杂志, 2015, 31(8): 676-679.
9
吴松年, 何建娣, 蒋天安, 等. 声触诊组织成像量化技术鉴别诊断甲状腺TI-RADS 4类结节的临床研究 [J]. 中华超声影像学杂志, 2016, 25(7): 573-578.
10
陈建设, 张超, 骆洁丽, 等. 超声造影在细胞学不能明确诊断的甲状腺结节中的应用 [J]. 温州医科大学学报, 2017, 47(2): 128-131.
11
Wildman-Tobriner B, Buda M, Hoang JK, et al. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility [J]. Radiology, 2019, 292(1): 112-119.
12
Cheng P, Chen ED, Zheng HM, et al. Ultrasound score to select subcentimeter-sized thyroid nodules requiring ultrasound-guided fine needle aspiration biopsy in eastern China [J]. Asian Pac J Cancer Prev, 2013, 14(8): 4689-4692.
13
张波, 徐景竹, 吴琼. 2015年美国甲状腺学会《成人甲状腺结节与分化型甲状腺癌诊治指南》解读:超声部分 [J]. 中国癌症杂志, 2016, 26(1): 19-24.
14
Haugen BR. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: What is new and what has changed? [J]. Cancer, 2016, 123(3): 372-381.
15
孙婷, 姚梅琪, 沈国丽. 甲状腺癌与甲状腺结节直径的临床分析 [J]. 护理与康复, 2017, 16(7): 748-749.
[1] 魏淑婕, 惠品晶, 丁亚芳, 张白, 颜燕红, 周鹏, 黄亚波. 单侧颈内动脉闭塞患者行颞浅动脉-大脑中动脉搭桥术的脑血流动力学评估[J]. 中华医学超声杂志(电子版), 2023, 20(10): 1046-1055.
[2] 张璇, 马宇童, 苗玉倩, 张云, 吴士文, 党晓楚, 陈颖颖, 钟兆明, 王雪娟, 胡淼, 孙岩峰, 马秀珠, 吕发勤, 寇海燕. 超声对Duchenne肌营养不良儿童膈肌功能的评价[J]. 中华医学超声杂志(电子版), 2023, 20(10): 1068-1073.
[3] 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.
[4] 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.
[5] 朱连华, 费翔, 韩鹏, 姜波, 李楠, 罗渝昆. 高帧频超声造影在胆囊息肉样病变中的鉴别诊断价值[J]. 中华医学超声杂志(电子版), 2023, 20(09): 904-910.
[6] 张梅芳, 谭莹, 朱巧珍, 温昕, 袁鹰, 秦越, 郭洪波, 侯伶秀, 黄文兰, 彭桂艳, 李胜利. 早孕期胎儿头臀长正中矢状切面超声图像的人工智能质控研究[J]. 中华医学超声杂志(电子版), 2023, 20(09): 945-950.
[7] 陈舜, 薛恩生, 叶琴. PDCA在持续改进超声危急值管理制度中的价值[J]. 中华医学超声杂志(电子版), 2023, 20(09): 974-978.
[8] 周钰菡, 肖欢, 唐毅, 杨春江, 周娟, 朱丽容, 徐娟, 牟芳婷. 超声对儿童髋关节暂时性滑膜炎的诊断价值[J]. 中华医学超声杂志(电子版), 2023, 20(08): 795-800.
[9] 刘欢颜, 华扬, 贾凌云, 赵新宇, 刘蓓蓓. 颈内动脉闭塞病变管腔结构和血流动力学特征分析[J]. 中华医学超声杂志(电子版), 2023, 20(08): 809-815.
[10] 郏亚平, 曾书娥. 含鳞状细胞癌成分的乳腺化生性癌的超声与病理特征分析[J]. 中华医学超声杂志(电子版), 2023, 20(08): 844-848.
[11] 张丽丽, 陈莉, 余美琴, 聂小艳, 王婧玲, 刘婷. PDCA循环法在超声浅表器官亚专科建设中的应用[J]. 中华医学超声杂志(电子版), 2023, 20(07): 717-721.
[12] 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.
[13] 罗刚, 泮思林, 陈涛涛, 许茜, 纪志娴, 王思宝, 孙玲玉. 超声心动图在胎儿心脏介入治疗室间隔完整的肺动脉闭锁中的应用[J]. 中华医学超声杂志(电子版), 2023, 20(06): 605-609.
[14] 黄佳, 石华, 张玉国, 胡佳琪, 陈茜. 胎儿左头臂静脉正常与异常超声图像特征及其临床意义[J]. 中华医学超声杂志(电子版), 2023, 20(06): 610-617.
[15] 袁泽, 庄丽. 超声检测胎儿脐动脉和大脑中动脉血流对胎儿宫内窘迫的诊断价值[J]. 中华医学超声杂志(电子版), 2023, 20(06): 618-621.
阅读次数
全文


摘要