甲状腺影像报告和数据系统联合超声弹性成像对甲状腺良恶性结节的诊断价值

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (0 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective: To assess sonographic features of thyroid nodules associated with malignancy and to establish a scoring and categorizing method based on sonographic features. Methods: A total of 2 045 patients with 2 045 thyroid nodules were included and divided into 2 groups: benign(1 293) and malignant(752). First, 11 sonographic features, including shape, border, margin, internal content, echogenicity, microcalcifications, posterior echo, halo, vascularization distribution, vascularization degree, and SR, were defined, and all nodules were retrospectively evaluated. Second, the features associated with malignancy were selected by statistical analysis and were assigned weightings according to their odds ratios. Third, a total score for each nodule was obtained after the assigned weightings of the suspicious features were summed. Fourth, the malignancy rate of each total score was calculated. Then a modified version of the Thyroid Imaging Reporting and Data System (TI-RADS) was established with reference to the American College of Radiology’s Breast Imaging Reporting and Data System. Results: Six independent features associated with malignancy were a taller-than-wide shape, an irregular margin, solid internal content, marked hypoechogenicity and hypoechogenicity, microcalcifications and qualitative hard. The TI-RADS included 5 categories with different malignancy rates: category 3(≤2%), 4A(3%~10%), 4B(11%~50%), 4C(51%~94%), and 5(≥95%). Conclusions: A modified version of TI-RADS was established on the basis of the sonographic features with different weightings according to the relative risk of malignancy. This system could be of great use in predicting the nature of thyroid nodules in a quantified and standardized way and also helping clinicians decide on the clinical management.

Key words： Thyroid nodule Ultrasonography, Doppler, color

Received: 15 August 2017

PACS:	Ｒ736.1
	Ｒ581
	Ｒ445.1

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WU Liang
	YAO Shu-xin
	HE Dong-fang

Cite this article:

WU Liang,YAO Shu-xin,HE Dong-fang. The diagnostic value of thyroid imaging reporting and data system combined with ultrasonic elastography for thyroid nodule[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(5): 309-312.

URL:

http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2018/V29/I5/309

[1]Guth S, Theune U, Aberle J, et al. Very high prevalence of thyroid nodules detected by high frequency(13MHz) ultrasound examination[J]. Eur J Clin Invest, 2009, 39(8): 699-706.
[2]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.
[3]Cappelli C, Castellano M, Pirola I, et al. The predictive value of ultrasound findings in the management of thyroid nodules[J]. QJM, 2007, 100(1): 29-35.
[4]American Thyroid Association(ATA) Guidelines Taskforce on Thyroid Nodules and Differentiated Thyroid Cancer; Cooper DS, Doherty GM, Haugen BR, et al. Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer[J]. Thyroid, 2009, 19(11): 1167-1214.
[5]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.
[6]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.
[7]Popoveniuc G, Jonklaas J. Thyroid nodules[J]. Med Clin North Am, 2012, 96(2): 329-349.
[8]Moon WJ, Baek JH, Jung SL, et al. Ultrasonography and the ultrasound-based management of thyroid nodules: consensus statement and recommendations[J]. Korean J Radiol, 2011, 12(1): 1-14.
[9]耿贯一. 流行病学. 2版. 北京：人民卫生出版社，1997：221.
[10]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.
[11]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.
[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]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.
[14]詹维伟，徐上妍. 甲状腺结节超声检查新进展[J/CD]. 中华医学超声杂志：电子版，2013，10（2）：88-93.
[15]周萍，詹维伟，任新平，等. 超声弹性成像诊断甲状腺结节的价值[J]. 中国医学影像学杂志，2009，17（4）：262-265.