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C-TIRADS在甲状腺结节中的应用进展
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Abstract:
中国版TIRADS (Chinese-TIRADS, C-TIRADS)是基于国内多中心大样本的超声数据，利用超声特征与甲状腺结节的恶性肿瘤相关性，按照阳性和阴性超声特征的计数值建立的分类，具有非常高的分类可靠性与临床实用性，其应用推广有助于甲状腺结节的规范化诊断。作为一种新的计数分类方法，C-TIRADS因发布时间不久且存在争议，未广泛应用于临床。本文主要对C-TIRADS的发展历程、分类标准、临床应用情况、联合其他超声技术等方面进行综述，旨在为后续规范化应用提供参考价值。
The Chinese version of TIRADS (Chinese-TIRADS, C-TIRADS) is a classification based on ultrasound data from a large multicenter sample in China, using the correlation between ultrasound features and malignancy of thyroid nodules, according to the count value of positive and negative ultrasound features. The application of this classification can help to standardize the diagnosis of thyroid nod-ules. The C-TIRADS, a new method of counting and classification, has not been widely used in clinical practice because of its recent publication and controversy. In this paper, we review the develop-ment, classification criteria, clinical application, and combination with other ultrasound techniques of C-TIRADS, aiming to provide reference value for subsequent standardized application.
| [1] | Li, Y., Teng, D., Ba, J., et al. (2020) Efficacy and Safety of Long-Term Universal Salt Iodization on Thyroid Disorders: Epidemiological Evidence from 31 Provinces of Mainland China. Thyroid, 30, 568-579.
https://doi.org/10.1089/thy.2019.0067 |
| [2] | Miranda-Filho, A., Lortettieulent, J., Bray, F., et al. (2021) Thyroid Cancer Incidence Trends by Histology in 25 Countries: A Population-Based Study. The Lancet Diabetes & Endocrinol-ogy, 9, 225-234.
https://doi.org/10.1016/S2213-8587(21)00027-9 |
| [3] | Li, T., Li, H., Xue, J., Miao, J. and Kang, C. (2021) Shear Wave Elastography Combined with Gray-Scale Ultrasound for Predicting Central Lymph Node Metastasis of Papillary Thyroid Carcinoma. Surgical Oncology, 36, 1-6.
https://doi.org/10.1016/j.suronc.2020.11.004 |
| [4] | 中华医学会超声医学分会浅表器官和血管学组, 中国甲状腺与乳腺超声人工智能联盟. 2020甲状腺结节超声恶性危险分层中国指南: C-TIRADS[J]. 中华超声影像学杂志, 2021, 30(3): 185-200. |
| [5] | Horvath, E., Majlis, S., Rossi, R., et al. (2009) An Ultrasonogram Reporting System for Thyroid Nodules Stratifying Cancer Risk for Clinical Management. The Journal of Clinical Endocrinology and Metabo-lism, 94, 1748-1751.
https://doi.org/10.1210/jc.2008-1724 |
| [6] | Tessler, F.N., Middleton, W.D., Grant, E.G., et al. (2017) ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. Journal of the Ameri-can College of Radiology, 14, 587-595.
https://doi.org/10.1016/j.jacr.2017.01.046 |
| [7] | 周建桥, 詹维伟. 2020年中国超声甲状腺影像报告和数据系统(C-TIRADS)指南解读[J]. 诊断学理论与实践, 2020, 19(4): 350-353. |
| [8] | Hu, Y., Xu, S. and Zhan, W. (2022) Di-agnostic Performance of C-TIRADS in Malignancy Risk Stratification of Thyroid Nodules: A Systematic Review and Meta-Analysis. Frontiers in Endocrinology, 13, Article 938961.
https://doi.org/10.3389/fendo.2022.938961 |
| [9] | 亓鹏, 张华伟. C-TIRADS对甲状腺囊性、囊实性机化皱缩结节与恶性结节的超声鉴别诊断[J]. 中国医学影像学杂志, 2022, 30(4): 316-320. |
| [10] | Li, C., Wen, D., Lu, H., et al. (2022) [The Value of ACR-TIRADS and C-TIRADS in the Diagnosis of Nodular Hashimoto Thyroiditis and Papillary Thyroid Carcinoma with Hashimoto Thyroiditis. Journal of Clinical Otorhinolaryngology, Head, and Neck Surgery, 36, 447-452. (In Chinese) |
| [11] | 杨林欣, 王明焰, 唐力, 等. 6种TI-RADS对甲状腺髓样癌诊断的一致性分析[J]. 中国超声医学杂志, 2022, 38(5): 506-509. |
| [12] | 田猛, 吴秀艳, 蔡雪珍, 等. 甲状腺结节超声恶性危险分层中国指南(C-TIRADS)对甲状腺乳头状癌的诊断价值[J]. 解放军医学院学报, 2022, 43(8): 823-829. |
| [13] | Qi, Q., Zhou, A., Guo, S., et al. (2021) 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. Frontiers in Endocrinology, 12, Article 763897.
https://doi.org/10.3389/fendo.2021.763897 |
| [14] | 刘承开, 张蕾, 王晓东. 基于C-TIRADS分析甲状腺乳头状癌出现颈部淋巴结转移的影响因素[J]. 实用医学杂志, 2021, 37(12): 1587-1591. |
| [15] | Lin, Y., Lai, S., Wang, P., et al. (2022) Performance of Current Ultrasound-Based Malignancy Risk Stratification Systems for Thyroid Nodules in Pa-tients with Follicular Neoplasms. European Radiology, 32, 3617-3630.
https://doi.org/10.1007/s00330-021-08450-3 |
| [16] | 罗浩柔, 尹立雪. 超声微血管成像与彩色多普勒血流成像对甲状腺结节诊断价值的Meta分析[J]. 中华医学超声杂志(电子版) , 2021, 18(6): 554-563. |
| [17] | Zhao, Y., Zhou, P., Peng, H., Liu, W. and Zhang, Y. (2020) Superb Microvascular Imaging Compared with Contrast-Enhanced Ultrasound to Assess Microvessels in Thyroid Nodules. Journal of Medical Ultrasonics, 47, 287-297.
https://doi.org/10.1007/s10396-020-01011-z |
| [18] | 隋洋, 王兵. 二维灰阶超声联合超微血管成像对TI-RADS 3、4级甲状腺结节的鉴别诊断价值[J]. 广州医科大学学报, 2021, 49(5): 78-82. |
| [19] | 李月华, 温德惠, 李朝喜, 等. 2015ATA超声指南、超微血管成像技术和频谱多普勒在甲状腺结节良恶性鉴别中的应用价值[J]. 临床耳鼻咽喉头颈外科杂志, 2017, 31(15): 1152-1156. |
| [20] | 陈松丽, 李志强, 周爱云, 等. 舒张期血流消失或反向在良恶性甲状腺结节鉴别中的应用价值探讨[J]. 中国超声医学杂志, 2022, 38(2): 137-141. |
| [21] | Pei, S., Zhang, B., Cong, S., et al. (2020) Ultrasound Real-Time Tissue Elastography Improves the Diagnostic Performance of the ACR Thyroid Imag-ing Reporting and Data System in Differentiating Malignant from Benign Thyroid Nodules: A Summary of 1525 Thyroid Nodules. International Journal of Endocrinology, 2020, Article ID: 1749351.
https://doi.org/10.1155/2020/1749351 |
| [22] | 朱敏敏, 许妍, 肖潇, 等. 实时超声弹性成像调整C-TIRADS 4类甲状腺结节的临床价值 [J]. 临床超声医学杂志, 2022, 24(8): 583-587. |
| [23] | 张卫兵, 陈天奕, 何贝丽, 等. C-TIRADS分类联合SWE对FNA细胞学不明确的甲状腺结节的诊断价值[J]. 中国超声医学杂志, 2022, 38(7): 737-741. |
| [24] | 林蔚, 丁宁, 朱思平. C-TIRADS联合弹性成像对甲状腺结节良恶性预测的应用价值[J]. 南京医科大学学报(自然科学版), 2021, 41(9): 1388-1391. |
| [25] | Gao, X.-Q., Ma, Y., Peng, X.-S., et al. (2022) Diagnostic Per-formance of C-TIRADS Combined with SWE for the Diagnosis of Thyroid Nodules. Frontiers in Endocrinology, 13, Article ID: 939303.
https://doi.org/10.3389/fendo.2022.939303 |
| [26] | 马姣姣, 孙脉, 田艳, 等. 超声造影定量参数在甲状腺良恶性结节鉴别诊断中的价值[J]. 中国医学科学院学报, 2020, 42(1): 80-85. |
| [27] | Cheng, H., Zhuo, S.-S., Rong, X., et al. (2022) Value of Contrast-Enhanced Ultrasound in Adjusting the Classification of Chinese-TIRADS 4 Nodules. Interna-tional Journal of Endocrinology, 2022, Article ID: 5623919.
https://doi.org/10.1155/2022/5623919 |
| [28] | Jin, Z., Zhu, Y., Lei, Y., et al. (2022) Clinical Application of C-TIRADS Category and Contrast-Enhanced Ultrasound in Differential Diagnosis of Solid Thyroid Nodules Measuring ≥1 cm. Medical Science Monitor, 28, e936368.
https://doi.org/10.12659/MSM.936368 |
| [29] | 卢景新, 陈俊君, 何志忠, 等. 超声造影对C-TIRADS中甲状腺4~5类结节良恶性的鉴别价值[J]. 贵州医科大学学报, 2022, 47(6): 704-709. |
| [30] | Sorrenti, S., Dolcetti, V., Radzina, M., et al. (2022) Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing? Cancers, 14, Arti-cle No. 3357. https://doi.org/10.3390/cancers14143357 |
| [31] | 郑梅娟, 薛恩生, 俞悦, 等. C-TIRADS联合人工智能辅诊系统对甲状腺结节良恶性的诊断价值[J]. 肿瘤影像学, 2022, 31(5): 484-490. |
| [32] | Yang, J., Sun, Y., Li, X., et al. (2022) Diagnostic Performance of Six Ultrasound-Based Risk Stratification Systems in Thyroid Follicular Neo-plasm: A Retrospective Multi-Center Study. Frontiers in Oncology, 12, Article ID: 1013410.
https://doi.org/10.3389/fonc.2022.1013410 |
