诊断学理论与实践 ›› 2019, Vol. 18 ›› Issue (2): 149-154.doi: 10.16150/j.1671-2870.2019.02.006
收稿日期:
2018-06-29
出版日期:
2019-04-25
发布日期:
2019-04-25
通讯作者:
詹维伟
E-mail:shanghairuijin@126.com
XU Shangyan, JIA Xiaohong, NI Xiaofeng, ZHAN Weiwei()
Received:
2018-06-29
Online:
2019-04-25
Published:
2019-04-25
Contact:
ZHAN Weiwei
E-mail:shanghairuijin@126.com
摘要:
目的:探讨美国放射学协会甲状腺影像报告和数据系统(American Radiological Society-thyroid imaging reporting and data system, ACR-TIRADS)与瑞金TIRADS(Ruijin-thyroid imaging reporting and data system, RJ-TIRADS)描述词及其分类标准在甲状腺结节评估者间的一致性。方法:回顾性分析经手术病理证实的597个甲状腺结节的超声图像,采用Cohen’s Kappa检验的统计方法评估2个版本TIRADS中的超声征象及其分类间的一致性。结果:①全部超声指标的描述词间均具有一致性。在ACR-TIRADS中,不同观察者间,甲状腺结节的边缘一致性弱、回声水平及病灶内强回声在观察者间的一致性均为中等,而结节内部结构一致性好。在RJ-TIRADS中,观察者间没有一致性弱的描述词,回声水平及内部血流均为中等一致,而边缘、边界、内部结构及钙化的一致性均好。②关于分类的一致性,在ACR-TIRADS中,甲状腺结节TIRADS 1类、2类、3类和5类的总体判读在不同观察者间一致性好,4类为中度一致;在RJ-TIRADS中,甲状腺结节TI-RADS 3类、4C类、5类的总体判读一致性好,4A及4B类为中度一致;若将4类作为一个整体来评估,则一致性好。结论:2个版本的TIRADS在甲状腺结节评估中均具有较好的临床价值。ACR-TIRADS中的边缘描述词在观察者间的一致性较弱,可分类合并后使用,即只分为光整或不光整两类进行评估,或在使用时应仔细、谨慎地评估;2个版本的分类中,TIRADS 4类均需进一步学习以提高观察者间的一致性,RJ-TIRADS中的4A和4B类可合并后使用,可提高诊断的一致性。
中图分类号:
徐上妍, 贾晓红, 倪晓枫, 詹维伟. ACR-TIRADS与RJ-TIRADS描述词及分类在甲状腺结节评估者间的一致性研究[J]. 诊断学理论与实践, 2019, 18(2): 149-154.
XU Shangyan, JIA Xiaohong, NI Xiaofeng, ZHAN Weiwei. Interobserver variability in sonographic evaluation of thyroid nodules with ACR-TIRADS and RJ-TIRADS[J]. Journal of Diagnostics Concepts & Practice, 2019, 18(2): 149-154.
[1] | 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. |
[2] | Reiners C, Wegscheider K, Schicha H, et al. Prevalence of thyroid disorders in the working population of Germany: ultrasonography screening in 96,278 unselected employees[J]. Thyroid, 2004, 14(11):926-932. |
[3] | Guth S, Theune U, Aberle J, et al. Very high prevalence of thyroid nodules detected by high frequency(13 MHz) ultrasound examination[J]. Eur J Clin Invest, 2009, 39(8):699-706. |
[4] | 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. |
[5] | Park JY, Lee HJ, Jang HW, et al. A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma[J]. Thyroid, 2009, 19(11):1257-1264. |
[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] | Xu SY, Zhan WW, Wang WH. Evaluation of Thyroid Nodules by a Scoring and Categorizing Method Based on Sonographic Features[J]. J Ultrasound Med, 2015, 34(12):2179-2185. |
[8] | 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. |
[9] | 刘玉琴, 张书全, 陈万青, 等. 中国2003-2007年甲状腺癌发病死亡现状及流行趋势分析[J]. 中华流行病学杂志, 2012, 33(10):1044-1048. |
[10] | Ahn HS, Kim HJ, Welch HG. Korea's thyroid-cancer "epidemic"--screening and overdiagnosis[J]. N Engl J Med, 2014, 371(19):1765-1767. |
[11] | Oda H, Miyauchi A, Ito Y, et al. Incidences of Unfavo-rable Events in the Management of Low-Risk Papillary Microcarcinoma of the Thyroid by Active Surveillance Versus Immediate Surgery[J]. Thyroid, 2016, 26(1):150-155. |
[12] | Russ G, Bigorgne C, Royer B, et al. The Thyroid Imaging Reporting and Data System (TIRADS) for ultrasound of the thyroid[J]. J Radiol, 2011, 92(7-8):701-713. |
[13] | Shin JH, Baek JH, Chung J, et al. Ultrasonography Diagnosis and Imaging-Based Management of Thyroid No-dules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations[J]. Korean J Radiol, 2016, 17(3):370-395. |
[14] | Moon WJ, Jung SL, Lee JH, et al. Benign and malignant thyroid nodules: US differentiation--multicenter retrospective study[J]. Radiology, 2008, 247(3):762-770. |
[15] | Choi SH, Kim EK, Kwak JY, et al. Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules[J]. Thyroid, 2010, 20(2):167-172. |
[16] | Park CS, Kim SH, Jung SL, et al. Observer variability in the sonographic evaluation of thyroid nodules[J]. J Clin Ultrasound, 2010, 38(6):287-293. |
[17] | Wienke JR, Chong WK, Fielding JR, et al. Sonographic features of benign thyroid nodules: interobserver reliabi-lity and overlap with malignancy[J]. J Ultrasound Med, 2003, 22(10):1027-1031. |
[18] | 徐上妍, 詹维伟, 周建桥, 等. 超声评估甲状腺结节内钙化的初步探讨[J]. 中国超声医学杂志, 2012, 28(9):789-792. |
[19] | 徐上妍, 詹维伟. 超声诊断指标量化评估甲状腺结节[J]. 中国医学影像技术, 2012, 28(4):656-659. |
[20] | Malhi H, Beland MD, Cen SY, et al. Echogenic foci in thyroid nodules: significance of posterior acoustic artifacts[J]. AJR Am J Roentgenol, 2014, 203(6):1310-1316. |
[21] | Remonti LR, Kramer CK, Leitão CB, et al. Thyroid ultrasound features and risk of carcinoma: a systematic review and meta-analysis of observational studies[J]. Thyroid, 2015, 25(5):538-550. |
[22] | 燕山, 詹维伟, 周建桥. 甲状腺与甲状旁腺超声影像学[M]. 科学技术文献出版社, 2009. |
[23] | 计静丹, 詹维伟, 徐上妍. 彩色多普勒超声鉴别甲状腺结节良恶性价值的再探讨[J]. 中华医学超声杂志(电子版), 2011, 8(6):1289-1291. |
[24] | Moon HJ, Kwak JY, Kim MJ, et al. Can vascularity at power Doppler US help predict thyroid malignancy?[J]. Radiology, 2010, 255(1):260-269. |
[1] | 刁雪红, 申艳, 陈林, 詹嘉, 方靓, 蔡剑飞, 陈悦. 超声微血流成像技术在临床缓解期类风湿性关节炎诊断中的应用[J]. 诊断学理论与实践, 2022, 21(05): 575-580. |
[2] | 王之倩, 李敏, 于一飞, 周建桥. 21-羟化酶缺陷先天性肾上腺皮质增生患者睾丸肾上腺残基瘤超声特征分析[J]. 诊断学理论与实践, 2022, 21(05): 588-591. |
[3] | 顾炫, 柳俊. 超声筛查鉴别胰腺实性假乳头状瘤与胰腺导管腺癌的研究分析[J]. 诊断学理论与实践, 2022, 21(04): 504-508. |
[4] | 王文涵, 夏蜀珺, 詹维伟. 长链非编码RNA ENST00000489676在超声评估甲状腺乳头状癌颈部淋巴结转移中的应用[J]. 诊断学理论与实践, 2022, 21(04): 514-519. |
[5] | 何新, 陈慧, 冯炜炜. 机器学习算法在辅助超声诊断附件肿块良恶性中的应用研究进展[J]. 诊断学理论与实践, 2022, 21(04): 541-546. |
[6] | 杜燕然, 焦景, 任芸芸, 周建桥. 超声影像组学技术在评估胎肺成熟度中的应用[J]. 诊断学理论与实践, 2022, 21(03): 326-330. |
[7] | 桂燕萍, 陈晔芬, 施仲伟, 许燕. 超声心动图右室面积变化分数筛查左心室射血分数降低的心力衰竭患者心脏同步性研究[J]. 诊断学理论与实践, 2022, 21(03): 331-335. |
[8] | 徐琛莹, 李嫣然, 倪晓枫, 徐上妍, 林青. 超声预测老年甲状腺乳头状癌患者颈部淋巴结转移的效能及相关超声征象分析[J]. 诊断学理论与实践, 2022, 21(03): 343-348. |
[9] | 赵然, 詹维伟, 侯怡卿. 计算机辅助诊断系统辅助超声诊断甲状腺弥漫性病变合并结节良恶性的应用价值[J]. 诊断学理论与实践, 2022, 21(03): 390-394. |
[10] | 王晨琛, 方跃华, 施仲伟, 屈雪蒸. 25例主动脉瓣成形术后一年的超声心动图评价[J]. 诊断学理论与实践, 2022, 21(03): 395-398. |
[11] | 周建桥. 分布式云超声:超声成像系统研发的新路径[J]. 诊断学理论与实践, 2022, 21(01): 38-40. |
[12] | 杨伯文, 姜美娇, 陈慧. 超声IOTA简单法鉴别诊断卵巢肿瘤良恶性的临床研究[J]. 诊断学理论与实践, 2022, 21(01): 74-79. |
[13] | 曹云云, 王冠杰, 曾敏, 王海飞, 牛建梅, 周雷平. 早孕期超声相关参数预测胚胎妊娠结局价值的分析[J]. 诊断学理论与实践, 2021, 20(05): 445-449. |
[14] | 何碧媛, 周毓青, 姚秉彝, 曹力, 包丽. 中孕期弹性超声成像宫颈机能智能定量分析预测自发性早产的临床应用价值[J]. 诊断学理论与实践, 2021, 20(05): 450-455. |
[15] | 杨田, 吉翔, 牛建梅, 孔晓晓, 吕明丽. 二维超声在产前胎儿胸腺发育评估中的应用[J]. 诊断学理论与实践, 2021, 20(05): 471-474. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||