|
|
Comparison of diagnostic efficacy between ACR TI-RADS and Kwak TI-RADS in qualitative diagnosis of thyroid nodules |
YAO Jian-feng, ZHANG Yu-hua, WANG Quan-jiang, CHEN Zheng-lei |
Zhengzhou Tumor Hospital Affiliated to Henan University, Zhengzhou 450000, China |
|
|
Abstract Objective: To compare the diagnostic efficacy between 2017 thyroid imaging reporting and data system of ACR(ACR TI-RADS) and 2011 thyroid imaging reporting and data system of Kwak(Kwak TI-RADS) in the diagnosis of benign or malignant thyroid nodules. Methods: The results of routine ultrasound images of 319 thyroid nodules in 305 patients were retrospectively analyzed, and these nodules were classified using ACR TI-RADS and Kwak TI-RADS methods, which were retrospectively analyzed with pathology as the reference standard. Results: In the diagnosis of benign or malignant thyroid nodules using ACR TI-RADS method, the sensitivity was 77.6%, specificity was 83.0%, accuracy was 82.1%, positive predictive value was 45.0% and negative predictive value was 95.3%. In the diagnosis of benign or malignant thyroid nodules using Kwak TI-RADS method, the sensitivity was 89.8%, specificity was 81.1%, accuracy was 82.4%, positive predictive value was 46.3% and negative predictive value was 97.8%. There was no significant difference between the two methods. Conclusion: ①There was no significant difference between ACR TI-RADS and Kwak TI-RADS in the diagnosis of benign or malignant thyroid nodules, and both of them had good diagnostic value. ②ACR TI-RADS further defined terms for the description of thyroid nodules, improved diagnostic consistency, and gave advice on thyroid nodule management.
|
Received: 10 September 2018
|
|
|
|
|
[1]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.
[2]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.
[3]Sánchez JF. Clasificación TI-RADS de los nódulos tiroideos en base a una escala de puntuación modificada con respecto a los criterios ecográficos de malignidad TI-RADS classification of thyroid nodules based on a score modified regarding the ultrasound criteria for malignancy[J]. Rev Argent Radio, 2014, 78(3): 138-148. [4]李静,侯苏芸,付超,等. 美国放射学会甲状腺影像报告和数据系统解读及探讨[J]. 中华超声影像学杂志,2018,27(2):180-184.
[5]高明. 甲状腺结节和分化型甲状腺癌诊治指南[J]. 中华核医学与分子影像杂志,2012,33(17):1249-1272.
[6]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.
[7]姚建锋,张煜华,王全江,等. TI-RADS分类与常规超声在甲状腺结节定性诊断中的诊断效能[J]. 肿瘤学杂志,2017,23(4):273-277.
[8]黄汉源,唐伟松,邱辉忠. 从甲状腺癌的生物学特性看它的治疗[J]. 实用外科杂志,1986,6(5):226-227.
[9]Kwak JY, Jung I, Baek JH, et al. Image reporting and characterization system for ultrasound features of thyroid nodules: multicentric Korean retrospective study[J]. Korean J Radiol, 2013, 14(1): 110-117. |
|
|
|