Thyroid Nodule Sizes Influence the Diagnostic Performance of TIRADS and Ultrasound Patterns of 2015 ATA Guidelines: a Multicenter Retrospective Study

Overview

Journal Sci Rep

Specialty Science

Date 2017 Feb 25

PMID 28233806

Citations 21

Authors

Ting Xu

Jing-Yu Gu

Xin-Hua Ye

Shu-Hang Xu

Yang Wu

Xin-Yu Shao

De-Zhen Liu

Wei-Ping Lu

Fei Hua

Bi-Min Shi

Jun Liang

Lan Xu

Wei Tang

Chao Liu

Xiao-Hong Wu

Affiliations

Soon will be listed here.

Abstract

To evaluate the impact of thyroid nodule sizes on the diagnostic performance of thyroid imaging reporting and data system (TIRADS) and ultrasound patterns of 2015 American Thyroid Association (ATA) guidelines. Total 734 patients with 962 thyroid nodules were recruited in this retrospective study. All nodules were divided into three groups according to the maximal diameter (d < 10 mm, d = 10-20 mm and d > 20 mm). The ultrasound images were categorized based on TIRADS and ATA ultrasound patterns, respectively. A total of 931 (96.8%) and 906 (94.2%) patterns met the criteria for TIRADS and ATA ultrasound patterns. The AUC (0.849) and sensitivity (85.3%) of TIRADS were highest in d = 10-20 mm group. However, ATA had highest AUC (0.839) and specificity (89.8%) in d > 20 mm group. ATA ultrasound patterns had higher specificity (P = 0.04), while TI-RADS had higher sensitivity (P = 0.02). In nodules d > 20 mm, the specificity of ATA patterns was higher than TIRADS (P = 0.003). Our results indicated that nodule sizes may influence the diagnostic performance of TIRADS and ATA ultrasound patterns. The ATA patterns may yield higher specificity than TIRADS, especially in nodules larger than 20 mm.

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References

Horvath E, Majlis S, Rossi R, Franco C, Niedmann J, Castro A . An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab. 2009; 94(5):1748-51. DOI: 10.1210/jc.2008-1724. View

Cheng S, Lee J, Lin J, Chuang S, Chien M, Liu C . Characterization of thyroid nodules using the proposed thyroid imaging reporting and data system (TI-RADS). Head Neck. 2012; 35(4):541-7. DOI: 10.1002/hed.22985. View

Wei X, Li Y, Zhang S, Gao M . Meta-analysis of thyroid imaging reporting and data system in the ultrasonographic diagnosis of 10,437 thyroid nodules. Head Neck. 2014; 38(2):309-15. DOI: 10.1002/hed.23878. View

Rago T, Santini F, Scutari M, Pinchera A, Vitti P . Elastography: new developments in ultrasound for predicting malignancy in thyroid nodules. J Clin Endocrinol Metab. 2007; 92(8):2917-22. DOI: 10.1210/jc.2007-0641. View

Frates M, Benson C, Charboneau J, Cibas E, Clark O, Coleman B . Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement. Radiology. 2005; 237(3):794-800. DOI: 10.1148/radiol.2373050220. View

Bojunga J, Herrmann E, Meyer G, Weber S, Zeuzem S, Friedrich-Rust M . Real-time elastography for the differentiation of benign and malignant thyroid nodules: a meta-analysis. Thyroid. 2010; 20(10):1145-50. DOI: 10.1089/thy.2010.0079. View

Moon H, Sung J, Kim E, Yoon J, Youk J, Kwak J . Diagnostic performance of gray-scale US and elastography in solid thyroid nodules. Radiology. 2012; 262(3):1002-13. DOI: 10.1148/radiol.11110839. View

Cappelli C, Castellano M, Pirola I, Gandossi E, De Martino E, Cumetti D . Thyroid nodule shape suggests malignancy. Eur J Endocrinol. 2006; 155(1):27-31. DOI: 10.1530/eje.1.02177. View

Yoon J, Lee H, Kim E, Moon H, Kwak J . Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines. Radiology. 2015; 278(3):917-24. DOI: 10.1148/radiol.2015150056. View

10.

Cooper D, Doherty G, Haugen B, Hauger B, Kloos R, Lee S . Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2009; 19(11):1167-214. DOI: 10.1089/thy.2009.0110. View

11.

Park J, Lee H, Jang H, Kim H, Yi J, Lee W . A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma. Thyroid. 2009; 19(11):1257-64. DOI: 10.1089/thy.2008.0021. View

12.

Haugen B, Alexander E, Bible K, Doherty G, Mandel S, Nikiforov Y . 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2015; 26(1):1-133. PMC: 4739132. DOI: 10.1089/thy.2015.0020. View

13.

Trimboli P, Guglielmi R, Monti S, Misischi I, Graziano F, Nasrollah N . Ultrasound sensitivity for thyroid malignancy is increased by real-time elastography: a prospective multicenter study. J Clin Endocrinol Metab. 2012; 97(12):4524-30. DOI: 10.1210/jc.2012-2951. View

14.

Reiners C, Wegscheider K, Schicha H, Theissen P, Vaupel R, Wrbitzky R . Prevalence of thyroid disorders in the working population of Germany: ultrasonography screening in 96,278 unselected employees. Thyroid. 2005; 14(11):926-32. DOI: 10.1089/thy.2004.14.926. View

15.

Kwak J, Han K, Yoon J, Moon H, Son E, Park S . Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology. 2011; 260(3):892-9. DOI: 10.1148/radiol.11110206. View

16.

Seo H, Na D, Kim J, Kim K, Yoon J . Ultrasound-Based Risk Stratification for Malignancy in Thyroid Nodules: A Four-Tier Categorization System. Eur Radiol. 2015; 25(7):2153-62. DOI: 10.1007/s00330-015-3621-7. View

17.

Wolinski K, Szkudlarek M, Szczepanek-Parulska E, Ruchala M . Usefulness of different ultrasound features of malignancy in predicting the type of thyroid lesions: a meta-analysis of prospective studies. Pol Arch Med Wewn. 2014; 124(3):97-104. DOI: 10.20452/pamw.2132. View

18.

Lee M, Kim E, Kwak J, Kim M . Partially cystic thyroid nodules on ultrasound: probability of malignancy and sonographic differentiation. Thyroid. 2009; 19(4):341-6. DOI: 10.1089/thy.2008.0250. View

19.

Lyshchik A, Drozd V, Demidchik Y, Reiners C . Diagnosis of thyroid cancer in children: value of gray-scale and power doppler US. Radiology. 2005; 235(2):604-13. DOI: 10.1148/radiol.2352031942. View

20.

Ferris R, Baloch Z, Bernet V, Chen A, Fahey 3rd T, Ganly I . American Thyroid Association Statement on Surgical Application of Molecular Profiling for Thyroid Nodules: Current Impact on Perioperative Decision Making. Thyroid. 2015; 25(7):760-8. PMC: 4519104. DOI: 10.1089/thy.2014.0502. View