Skip to main content

Advertisement

Log in

2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS

  • Position statement/Guideline
  • Published:
Endocrine Aims and scope Submit manuscript

Abstract

Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. C. Durante, G. Grani, L. Lamartina, S. Filetti, S.J. Mandel, D.S. Cooper, The diagnosis and management of thyroid nodules: a review. JAMA 319(9), 914–924 (2018). https://doi.org/10.1001/jama.2018.0898

    Article  PubMed  Google Scholar 

  2. B.R. Haugen, E.K. Alexander, K.C. Bible, G.M. Doherty, S.J. Mandel, Y.E. Nikiforov, F. Pacini, G.W. Randolph, A.M. Sawka, M. Schlumberger, K.G. Schuff, S.I. Sherman, J.A. Sosa, D.L. Steward, R.M. Tuttle, L. Wartofsky, 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 26(1), 1–133 (2016). https://doi.org/10.1089/thy.2015.0020

    Article  PubMed  PubMed Central  Google Scholar 

  3. Z. Chen, W. Xu, Y. Huang, X. Jin, J. Deng, S. Zhu, H. Liu, S. Zhang, Y. Yu, Associations of noniodized salt and thyroid nodule among the Chinese population: a large cross-sectional study. Am. J. Clin. Nutr. 98(3), 684–692 (2013). https://doi.org/10.3945/ajcn.112.054353

    Article  CAS  PubMed  Google Scholar 

  4. J. Yin, C. Wang, Q. Shao, D. Qu, Z. Song, P. Shan, T. Zhang, J. Xu, Q. Liang, S. Zhang, J. Huang, Relationship between the Prevalence of Thyroid Nodules and Metabolic Syndrome in the Iodine-Adequate Area of Hangzhou, China: A Cross-Sectional and Cohort Study. Int J. Endocrinol. 2014, 675796 (2014). https://doi.org/10.1155/2014/675796

    Article  PubMed  PubMed Central  Google Scholar 

  5. W. Xu, Z. Chen, N. Li, H. Liu, L. Huo, Y. Huang, X. Jin, J. Deng, S. Zhu, S. Zhang, Y. Yu, Relationship of anthropometric measurements to thyroid nodules in a Chinese population. BMJ Open 5(12), e008452 (2015). https://doi.org/10.1136/bmjopen-2015-008452

    Article  PubMed  PubMed Central  Google Scholar 

  6. Y. Li, D. Teng, J. Ba, B. Chen, J. Du, L. He, X. Lai, X. Teng, X. Shi, Y. Li, H. Chi, E. Liao, C. Liu, L. Liu, G. Qin, Y. Qin, H. Quan, B. Shi, H. Sun, X. Tang, N. Tong, G. Wang, J.A. Zhang, Y. Wang, Y. Xue, L. Yan, J. Yang, L. Yang, Y. Yao, Z. Ye, Q. Zhang, L. Zhang, J. Zhu, M. Zhu, G. Ning, Y. Mu, J. Zhao, Z. Shan, W. Teng, Efficacy and safety of long-term universal salt iodization on thyroid disorders: epidemiological evidence from 31 provinces of Mainland China. Thyroid 30(4), 568–579 (2020). https://doi.org/10.1089/thy.2019.0067

    Article  CAS  PubMed  Google Scholar 

  7. American College of Radiology (ACR). Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas), 1st edn. (American College of Radiology, Reston, VA, 1992)

    Google Scholar 

  8. E. Horvath, S. Majlis, R. Rossi, C. Franco, J.P. Niedmann, A. Castro, M. Dominguez, An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J. Clin. Endocrinol. Metab. 94(5), 1748–1751 (2009). https://doi.org/10.1210/jc.2008-1724

    Article  CAS  PubMed  Google Scholar 

  9. J.Y. Park, H.J. Lee, H.W. Jang, H.K. Kim, J.H. Yi, W. Lee, S.H. Kim, A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma. Thyroid 19(11), 1257–1264 (2009)

    Article  PubMed  Google Scholar 

  10. J.Y. Kwak, K.H. Han, J.H. Yoon, H.J. Moon, E.J. Son, S.H. Park, H.K. Jung, J.S. Choi, B.M. Kim, E.K. Kim, Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology 260(3), 892–899 (2011). https://doi.org/10.1148/radiol.11110206

    Article  PubMed  Google Scholar 

  11. G. Russ, C. Bigorgne, B. Royer, A. Rouxel, M. Bienvenu-Perrard, The Thyroid Imaging Reporting and Data System (TIRADS) for ultrasound of the thyroid. J. Radio. 92(7–8), 701–713 (2011). https://doi.org/10.1016/j.jradio.2011.03.022

    Article  CAS  Google Scholar 

  12. J.F. Sánchez, TI-RADS classifcation of thyroid nodules based on a score modifed according to ultrasound criteria for malignancy. Rev. Argent. Radiol. 78(3), 138–148 (2014)

    Google Scholar 

  13. A.R. Zayadeen, M. Abu-Yousef, K. Berbaum, JOURNAL CLUB: retrospective evaluation of ultrasound features of thyroid nodules to assess malignancy risk: a step toward TIRADS. AJR Am. J. Roentgenol. 207(3), 460–469 (2016). https://doi.org/10.2214/AJR.15.15121

    Article  PubMed  Google Scholar 

  14. D. Songsaeng, S. Soodchuen, P. Korpraphong, A. Suwanbundit, Siriraj thyroid imaging reporting and data system and its effcacy. Siriraj Med. J. 69(5), 262–267 (2017)

    Google Scholar 

  15. S.Y. Xu, W.W. Zhan, W.H. Wang, Evaluation of thyroid nodules by a scoring and categorizing method based on sonographic features. J. Ultrasound Med. 34(12), 2179–2185 (2015). https://doi.org/10.7863/ultra.14.11041

    Article  PubMed  Google Scholar 

  16. J.H. Shin, J.H. Baek, J. Chung, E.J. Ha, J.H. Kim, Y.H. Lee, H.K. Lim, W.J. Moon, D.G. Na, J.S. Park, Y.J. Choi, S.Y. Hahn, S.J. Jeon, S.L. Jung, D.W. Kim, E.K. Kim, J.Y. Kwak, C.Y. Lee, H.J. Lee, J.H. Lee, J.H. Lee, K.H. Lee, S.W. Park, J.Y. Sung, Korean Society of Thyroid Radiology, Korean Society of Radiology, Ultrasonography diagnosis and imaging-based management of thyroid nodules: revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations. Korean J. Radio. 17(3), 370–395 (2016). https://doi.org/10.3348/kjr.2016.17.3.370

    Article  Google Scholar 

  17. G. Russ, S.J. Bonnema, M.F. Erdogan, C. Durante, R. Ngu, L. Leenhardt, European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS. Eur. Thyroid J. 6(5), 225–237 (2017). https://doi.org/10.1159/000478927

    Article  PubMed  PubMed Central  Google Scholar 

  18. E.G. Grant, F.N. Tessler, J.K. Hoang, J.E. Langer, M.D. Beland, L.L. Berland, J.J. Cronan, T.S. Desser, M.C. Frates, U.M. Hamper, W.D. Middleton, C.C. Reading, L.M. Scoutt, A.T. Stavros, S.A. Teefey, Thyroid ultrasound reporting lexicon: white paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee. J. Am. Coll. Radiol. 12(12 Pt A), 1272–1279 (2015). https://doi.org/10.1016/j.jacr.2015.07.011

    Article  PubMed  Google Scholar 

  19. F.N. Tessler, W.D. Middleton, E.G. Grant, J.K. Hoang, L.L. Berland, S.A. Teefey, J.J. Cronan, M.D. Beland, T.S. Desser, M.C. Frates, L.W. Hammers, U.M. Hamper, J.E. Langer, C.C. Reading, L.M. Scoutt, A.T. Stavros, ACR Thyroid Imaging, Reporting and Data System (TI-RADS): white paper of the ACR TI-RADS Committee. J. Am. Coll. Radiol. 14(5), 587–595 (2017). https://doi.org/10.1016/j.jacr.2017.01.046

    Article  PubMed  Google Scholar 

  20. H. Gharib, E. Papini, J.R. Garber, D.S. Duick, R.M. Harrell, L. Hegedus, R. Paschke, R. Valcavi, P. Vitti, AACE/ACE/AME Task Force on Thyroid Nodules, American Association of Clinical Endocrinologists, American College of Endocrinology, and Associazione Medici Endocrinologi Medical Guidelines for Clinical Practice for the Diagnosis and Management of Thyroid Nodules—2016 update. Endocr. Pract. 22(5), 622–639 (2016). https://doi.org/10.4158/EP161208.GL

    Article  PubMed  Google Scholar 

  21. E.J. Ha, D.G. Na, J.H. Baek, J.Y. Sung, J.H. Kim, S.Y. Kang, US fine-needle aspiration biopsy for thyroid malignancy: diagnostic performance of seven society guidelines applied to 2000 thyroid nodules. Radiology 287(3), 893–900 (2018). https://doi.org/10.1148/radiol.2018171074

    Article  PubMed  Google Scholar 

  22. J.H. Yoon, K. Han, E.K. Kim, H.J. Moon, J.Y. Kwak, Diagnosis and management of small thyroid nodules: a comparative study with six guidelines for thyroid nodules. Radiology 283(2), 560–569 (2017). https://doi.org/10.1148/radiol.2016160641

    Article  PubMed  Google Scholar 

  23. J.H. Yoon, H.S. Lee, E.K. Kim, H.J. Moon, J.Y. Kwak, Malignancy risk stratification of thyroid nodules: comparison between the thyroid imaging reporting and data system and the 2014 American Thyroid Association Management Guidelines. Radiology 278(3), 917–924 (2016). https://doi.org/10.1148/radiol.2015150056

    Article  PubMed  Google Scholar 

  24. S.M. Ha, H.S. Ahn, J.H. Baek, H.Y. Ahn, Y.J. Chung, B.Y. Cho, S.B. Park, Validation of three scoring risk-stratification models for thyroid nodules. Thyroid 27(12), 1550–1557 (2017). https://doi.org/10.1089/thy.2017.0363

    Article  PubMed  Google Scholar 

  25. M. Castellana, C. Castellana, G. Treglia, F. Giorgino, L. Giovanella, G. Russ, P. Trimboli, Performance of five ultrasound risk stratification systems in selecting thyroid nodules for FNA. J. Clin. Endocrinol. Metab. 105(5) (2020). https://doi.org/10.1210/clinem/dgz170

  26. G. Grani, L. Lamartina, V. Ascoli, D. Bosco, M. Biffoni, L. Giacomelli, M. Maranghi, R. Falcone, V. Ramundo, V. Cantisani, S. Filetti, C. Durante, Reducing the number of unnecessary thyroid biopsies while improving diagnostic accuracy: toward the “Right” TIRADS. J. Clin. Endocrinol. Metab. 104(1), 95–102 (2019). https://doi.org/10.1210/jc.2018-01674

    Article  PubMed  Google Scholar 

  27. S.J. Yoon, D.G. Na, H.Y. Gwon, W. Paik, W.J. Kim, J.S. Song, M.S. Shim, Similarities and differences between thyroid imaging reporting and data systems. AJR Am. J. Roentgenol. 213(2), W76–W84 (2019). https://doi.org/10.2214/AJR.18.20510

    Article  PubMed  Google Scholar 

  28. J.H. Yoon, H.S. Lee, E.K. Kim, H.J. Moon, V.Y. Park, J.Y. Kwak, Pattern-based vs. score-based guidelines using ultrasound features have different strengths in risk stratification of thyroid nodules. Eur. Radiol. (2020). https://doi.org/10.1007/s00330-020-06722-y

  29. Q. Zhang, J. Ma, W. Sun, L. Zhang, Comparison of diagnostic performance between the American College of Radiology Thyroid Imaging Reporting and Data System and American Thyroid Association Guidelines: a systematic review. Endocr. Pract. 26(5), 552–563 (2020). https://doi.org/10.4158/EP-2019-0237

    Article  PubMed  Google Scholar 

  30. S.J. Choi, W.K. Jeong, A.J. Jo, J.A. Choi, M.J. Kim, M. Lee, S.E. Jung, K.H. Do, H.S. Yong, S. Sheen, M. Choi, J.H. Baek, Methodology for developing evidence-based clinical imaging guidelines: joint recommendations by Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J. Radiol. 18(1), 208–216 (2017). https://doi.org/10.3348/kjr.2017.18.1.208

    Article  PubMed  PubMed Central  Google Scholar 

  31. D. Cosgrove, R. Barr, J. Bojunga, V. Cantisani, M.C. Chammas, M. Dighe, S. Vinayak, J.M. Xu, C.F. Dietrich, WFUMB guidelines and recommendations on the clinical use of ultrasound elastography: part 4. Thyroid. Ultrasound Med. Biol. 43(1), 4–26 (2017). https://doi.org/10.1016/j.ultrasmedbio.2016.06.022

    Article  PubMed  Google Scholar 

  32. D. Cosgrove, F. Piscaglia, J. Bamber, J. Bojunga, J.M. Correas, O.H. Gilja, A.S. Klauser, I. Sporea, F. Calliada, V. Cantisani, M. D’Onofrio, E.E. Drakonaki, M. Fink, M. Friedrich-Rust, J. Fromageau, R.F. Havre, C. Jenssen, R. Ohlinger, A. Saftoiu, F. Schaefer, C.F. Dietrich; Efsumb, EFSUMB guidelines and recommendations on the clinical use of ultrasound elastography. Part 2: clinical applications. Ultraschall Med. 34(3), 238–253 (2013). https://doi.org/10.1055/s-0033-1335375

    Article  CAS  PubMed  Google Scholar 

  33. Q. Peng, C. Niu, Q. Zhang, M. Zhang, S. Chen, Q. Peng, Mummified thyroid nodules: conventional and contrast-enhanced ultrasound features. J. Ultrasound Med. 38(2), 441–452 (2019). https://doi.org/10.1002/jum.14712

    Article  PubMed  Google Scholar 

  34. F. Gu, L. Han, X. Yang, H. Liu, X. Li, K. Guo, Z. Zhao, X. Zhou, W. Luo, Value of time-intensity curve analysis of contrast-enhanced ultrasound in the differential diagnosis of thyroid nodules. Eur. J. Radiol. 105, 182–187 (2018). https://doi.org/10.1016/j.ejrad.2018.05.013

    Article  PubMed  Google Scholar 

  35. L. Leenhardt, M.F. Erdogan, L. Hegedus, S.J. Mandel, R. Paschke, T. Rago, G. Russ, 2013 European thyroid association guidelines for cervical ultrasound scan and ultrasound-guided techniques in the postoperative management of patients with thyroid cancer. Eur. Thyroid J. 2(3), 147–159 (2013). https://doi.org/10.1159/000354537

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. M.A. Kouvaraki, S.E. Shapiro, B.D. Fornage, B.S. Edeiken-Monro, S.I. Sherman, R. Vassilopoulou-Sellin, J.E. Lee, D.B. Evans, Role of preoperative ultrasonography in the surgical management of patients with thyroid cancer. Surgery 134(6), 946–954 (2003). https://doi.org/10.1016/s0039-6060(03)00424-0

    Article  PubMed  Google Scholar 

  37. P.J. Mazzaglia, Surgeon-performed ultrasound in patients referred for thyroid disease improves patient care by minimizing performance of unnecessary procedures and optimizing surgical treatment. World J. Surg. 34(6), 1164–1170 (2010). https://doi.org/10.1007/s00268-010-0402-y

    Article  PubMed  Google Scholar 

  38. A.E. Cox, S.O. LeBeau, Diagnosis and treatment of differentiated thyroid carcinoma. Radiol. Clin. North Am. 49(3), 453–462 (2011). https://doi.org/10.1016/j.rcl.2011.02.006

    Article  PubMed  Google Scholar 

  39. Z.W. Baloch, V.A. LiVolsi, Fine-needle aspiration of the thyroid: today and tomorrow. Best. Pract. Res Clin. Endocrinol. Metab. 22(6), 929–939 (2008)

    Article  PubMed  Google Scholar 

  40. R.H. Cobin, H. Gharib, D.A. Bergman, O.H. Clark, D.S. Cooper, G.H. Daniels, R.A. Dickey, D.S. Duick, J.R. Garber, I.D. Hay, J.S. Kukora, H.M. Lando, A.B. Schorr, M.A. Zeiger; Thyroid Carcinoma Task Force, AACE/AAES medical/surgical guidelines for clinical practice: management of thyroid carcinoma. American Association of Clinical Endocrinologists. American College of Endocrinology. Endocr. Pract. 7(3), 202–220 (2001)

    Article  CAS  PubMed  Google Scholar 

  41. M.J. Kim, E.K. Kim, S.I. Park, B.M. Kim, J.Y. Kwak, S.J. Kim, J.H. Youk, S.H. Park, US-guided fine-needle aspiration of thyroid nodules: indications, techniques, results. RadioGraphics 28(7), 1869–1886 (2008). https://doi.org/10.1148/rg.287085033

    Article  PubMed  Google Scholar 

  42. N. Nagarajan, E.B. Schneider, S.Z. Ali, M.A. Zeiger, M.T. Olson, How do liquid-based preparations of thyroid fine-needle aspiration compare with conventional smears? An analysis of 5475 specimens. Thyroid 25(3), 308–313 (2015). https://doi.org/10.1089/thy.2014.0394

    Article  PubMed  Google Scholar 

  43. H. Chang, E. Lee, H. Lee, J. Choi, A. Kim, B.H. Kim, Comparison of diagnostic values of thyroid aspiration samples using liquid-based preparation and conventional smear: one-year experience in a single institution. APMIS 121(2), 139–145 (2013). https://doi.org/10.1111/j.1600-0463.2012.02944.x

    Article  PubMed  Google Scholar 

  44. S. Vaccarella, S. Franceschi, F. Bray, C.P. Wild, M. Plummer, L. Dal Maso, Worldwide thyroid-cancer epidemic? The increasing impact of overdiagnosis. N. Engl. J. Med. 375(7), 614–617 (2016). https://doi.org/10.1056/NEJMp1604412

    Article  PubMed  Google Scholar 

  45. H.S. Ahn, H.J. Kim, H.G. Welch, Korea’s thyroid-cancer “epidemic”–screening and overdiagnosis. N. Engl. J. Med. 371(19), 1765–1767 (2014). https://doi.org/10.1056/NEJMp1409841

    Article  PubMed  Google Scholar 

  46. H.S. Ahn, H.G. Welch, South Korea’s thyroid-cancer “epidemic”—turning the tide. N. Engl. J. Med 373(24), 2389–2390 (2015). https://doi.org/10.1056/NEJMc1507622

    Article  CAS  PubMed  Google Scholar 

  47. C. La Vecchia, M. Malvezzi, C. Bosetti, W. Garavello, P. Bertuccio, F. Levi, E. Negri, Thyroid cancer mortality and incidence: a global overview. Int J. Cancer 136(9), 2187–2195 (2015). https://doi.org/10.1002/ijc.29251

    Article  CAS  PubMed  Google Scholar 

  48. J.J. Cronan, Thyroid nodules: is it time to turn off the US machines? Radiology 247(3), 602–604 (2008). https://doi.org/10.1148/radiol.2473072233

    Article  PubMed  Google Scholar 

  49. H. Lim, S.S. Devesa, J.A. Sosa, D. Check, C.M. Kitahara, Trends in thyroid cancer incidence and mortality in the United States, 1974–2013. JAMA 317(13), 1338–1348 (2017). https://doi.org/10.1001/jama.2017.2719

    Article  PubMed  PubMed Central  Google Scholar 

  50. C. La Vecchia, E. Negri, Thyroid cancer: the thyroid cancer epidemic—overdiagnosis or a real increase? Nat. Rev. Endocrinol. 13(6), 318–319 (2017). https://doi.org/10.1038/nrendo.2017.53

    Article  PubMed  Google Scholar 

  51. Y. Ito, A. Miyauchi, H. Oda, Low-risk papillary microcarcinoma of the thyroid: a review of active surveillance trials. Eur. J. Surg. Oncol. 44(3), 307–315 (2018). https://doi.org/10.1016/j.ejso.2017.03.004

    Article  CAS  PubMed  Google Scholar 

  52. G.C. Haser, R.M. Tuttle, H.K. Su, E.E. Alon, D. Bergman, V. Bernet, E. Brett, R. Cobin, E.H. Dewey, G. Doherty, L.L. Dos Reis, J. Harris, J. Klopper, S.L. Lee, R.A. Levine, S.J. Lepore, I. Likhterov, M.A. Lupo, J. Machac, J.I. Mechanick, S. Mehra, M. Milas, L.A. Orloff, G. Randolph, T.A. Revenson, K.J. Roberts, D.S. Ross, M.E. Rowe, R.C. Smallridge, D. Terris, R.P. Tufano, M.L. Urken, Active surveillance for papillary thyroid microcarcinoma: new challenges and opportunities for the health care system. Endocr. Pract. 22(5), 602–611 (2016). https://doi.org/10.4158/EP151065.RA

    Article  PubMed  PubMed Central  Google Scholar 

  53. S. Leboulleux, R.M. Tuttle, F. Pacini, M. Schlumberger, Papillary thyroid microcarcinoma: time to shift from surgery to active surveillance? Lancet Diabetes Endocrinol. 4(11), 933–942 (2016). https://doi.org/10.1016/S2213-8587(16)30180-2

    Article  PubMed  Google Scholar 

  54. Y. Ito, T. Uruno, K. Nakano, Y. Takamura, A. Miya, K. Kobayashi, T. Yokozawa, F. Matsuzuka, S. Kuma, K. Kuma, A. Miyauchi, An observation trial without surgical treatment in patients with papillary microcarcinoma of the thyroid. Thyroid 13(4), 381–387 (2003). https://doi.org/10.1089/105072503321669875

    Article  PubMed  Google Scholar 

  55. Y. Ito, A. Miyauchi, H. Inoue, M. Fukushima, M. Kihara, T. Higashiyama, C. Tomoda, Y. Takamura, K. Kobayashi, A. Miya, An observational trial for papillary thyroid microcarcinoma in Japanese patients. World J. Surg. 34(1), 28–35 (2010). https://doi.org/10.1007/s00268-009-0303-0

    Article  PubMed  Google Scholar 

  56. Y. Ito, A. Miyauchi, M. Kihara, T. Higashiyama, K. Kobayashi, A. Miya, Patient age is significantly related to the progression of papillary microcarcinoma of the thyroid under observation. Thyroid 24(1), 27–34 (2014). https://doi.org/10.1089/thy.2013.0367

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. L. Du, Y. Wang, X. Sun, H. Li, X. Geng, M. Ge, Y. Zhu, Thyroid cancer: trends in incidence, mortality and clinical-pathological patterns in Zhejiang Province, Southeast China. BMC Cancer 18(1), 291 (2018). https://doi.org/10.1186/s12885-018-4081-7

    Article  PubMed  PubMed Central  Google Scholar 

  58. S.H. Xie, J. Chen, B. Zhang, F. Wang, S.S. Li, C.H. Xie, L.A. Tse, J.Q. Cheng, Time trends and age-period-cohort analyses on incidence rates of thyroid cancer in Shanghai and Hong Kong. BMC Cancer 14, 975 (2014). https://doi.org/10.1186/1471-2407-14-975

    Article  PubMed  PubMed Central  Google Scholar 

  59. M.C. Frates, C.B. Benson, J.W. Charboneau, E.S. Cibas, O.H. Clark, B.G. Coleman, J.J. Cronan, P.M. Doubilet, D.B. Evans, J.R. Goellner, I.D. Hay, B.S. Hertzberg, C.M. Intenzo, R.B. Jeffrey, J.E. Langer, P.R. Larsen, S.J. Mandel, W.D. Middleton, C.C. Reading, S.I. Sherman, F.N. Tessler, Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement. Radiology 237(3), 794–800 (2005)

    Article  PubMed  Google Scholar 

  60. AIUM practice parameter for the performance of a thyroid and parathyroid ultrasound examination. J. Ultrasound Med. 35(9), 1–11 (2016). https://doi.org/10.7863/ultra.35.9.1-c

  61. S. Edge, D. Byrd, C. Compton, A. Fritz, F. Greene, A. Trotti. AJCC Cancer Staging Manual, 7th edn. (Springer, New York, NY, 2010)

    Google Scholar 

  62. S. Yan, W. Zhan, J.Q. Zhou. Ultrasound of the Thyroid and Parathyroid Glands.1st edn. (Science and Technology Literature Publishing House, Beijing, 2009)

    Google Scholar 

  63. M.C. Chammas, H.J. Moon, E.K. Kim, Why do we have so many controversies in thyroid nodule Doppler US? Radiology 259(1), 304 (2011). https://doi.org/10.1148/radiol.10101830

    Article  PubMed  Google Scholar 

  64. P.S. Sidhu, V. Cantisani, C.F. Dietrich, O.H. Gilja, A. Saftoiu, E. Bartels, M. Bertolotto, F. Calliada, D.A. Clevert, D. Cosgrove, A. Deganello, M. D’Onofrio, F.M. Drudi, S. Freeman, C. Harvey, C. Jenssen, E.M. Jung, A.S. Klauser, N. Lassau, M.F. Meloni, E. Leen, C. Nicolau, C. Nolsoe, F. Piscaglia, F. Prada, H. Prosch, M. Radzina, L. Savelli, H.P. Weskott, H. Wijkstra, The EFSUMB Guidelines and Recommendations for the Clinical Practice of Contrast-Enhanced Ultrasound (CEUS) in non-hepatic applications: update 2017 (Long Version). Ultraschall Med. 39(2), e2–e44 (2018). https://doi.org/10.1055/a-0586-1107

    Article  PubMed  Google Scholar 

  65. H. Seo, D.G. Na, J.H. Kim, K.W. Kim, J.W. Yoon, Ultrasound-based risk stratification for malignancy in thyroid nodules: a four-tier categorization system. Eur. Radiol. 25(7), 2153–2162 (2015). https://doi.org/10.1007/s00330-015-3621-7

    Article  PubMed  Google Scholar 

  66. W.J. Moon, J.H. Baek, S.L. Jung, D.W. Kim, E.K. Kim, J.Y. Kim, J.Y. Kwak, J.H. Lee, J.H. Lee, Y.H. Lee, D.G. Na, J.S. Park, S.W. Park; Korean Society of Thyroid Radiology, Korean Society of Radiology, Ultrasonography and the ultrasound-based management of thyroid nodules: consensus statement and recommendations. Korean J. Radiol. 12(1), 1–14 (2011). https://doi.org/10.3348/kjr.2011.12.1.1

    Article  PubMed  PubMed Central  Google Scholar 

  67. M. Itani, R. Assaker, M. Moshiri, T.J. Dubinsky, M.K. Dighe, Inter-observer variability in the American College of Radiology Thyroid Imaging Reporting and Data System: in-depth analysis and areas for improvement. Ultrasound Med. Biol. 45(2), 461–470 (2019). https://doi.org/10.1016/j.ultrasmedbio.2018.09.026

    Article  PubMed  Google Scholar 

  68. J.K. Hoang, W.D. Middleton, A.E. Farjat, S.A. Teefey, N. Abinanti, F.J. Boschini, A.J. Bronner, N. Dahiya, B.S. Hertzberg, J.R. Newman, D. Scanga, R.C. Vogler, F.N. Tessler, Interobserver variability of sonographic features used in the American College of Radiology Thyroid Imaging Reporting and Data System. AJR Am. J. Roentgenol. 211(1), 162–167 (2018). https://doi.org/10.2214/AJR.17.19192

    Article  PubMed  Google Scholar 

  69. Z.T. Sahli, A.K. Sharma, J.K. Canner, F. Karipineni, O. Ali, S. Kawamoto, J.F. Hang, A. Mathur, S.Z. Ali, M.A. Zeiger, S. Sheth, TIRADS interobserver variability among indeterminate thyroid nodules: a single-institution study. J. Ultrasound Med. 38(7), 1807–1813 (2019). https://doi.org/10.1002/jum.14870

    Article  PubMed  Google Scholar 

  70. S.H. Kim, C.S. Park, S.L. Jung, B.J. Kang, J.Y. Kim, J.J. Choi, Y.I. Kim, J.K. Oh, J.S. Oh, H. Kim, S.H. Jeong, H.W. Yim, Observer variability and the performance between faculties and residents: US criteria for benign and malignant thyroid nodules. Korean J. Radiol. 11(2), 149–155 (2010). https://doi.org/10.3348/kjr.2010.11.2.149

    Article  PubMed  PubMed Central  Google Scholar 

  71. R. Chung, A.B. Rosenkrantz, G.L. Bennett, B. Dane, J.E. Jacobs, C. Slywotzky, P.N. Smereka, A. Tong, S. Sheth, Interreader concordance of the TI-RADS: impact of radiologist experience. AJR Am. J. Roentgenol. 214(5), 1152–1157 (2020). https://doi.org/10.2214/AJR.19.21913

    Article  PubMed  Google Scholar 

  72. Y. Ito, C. Tomoda, T. Uruno, Y. Takamura, A. Miya, K. Kobayashi, F. Matsuzuka, K. Kuma, A. Miyauchi, Papillary microcarcinoma of the thyroid: how should it be treated? World J. Surg. 28(11), 1115–1121 (2004)

    Article  PubMed  Google Scholar 

  73. G. Li, J. Lei, Q. Peng, K. Jiang, W. Chen, W. Zhao, Z. Li, R. Gong, T. Wei, J. Zhu, Lymph node metastasis characteristics of papillary thyroid carcinoma located in the isthmus: a single-center analysis. Medicine 96(24), e7143 (2017). https://doi.org/10.1097/MD.0000000000007143

    Article  PubMed  PubMed Central  Google Scholar 

  74. M. Andrioli, C. Carzaniga, L. Persani, Standardized ultrasound report for thyroid nodules: the endocrinologist’s viewpoint. Eur. Thyroid J. 2(1), 37–48 (2013). https://doi.org/10.1159/000347144

    Article  PubMed  PubMed Central  Google Scholar 

  75. S.Y. Hahn, B.K. Han, E.Y. Ko, J.H. Shin, E.S. Ko, Ultrasound findings of papillary thyroid carcinoma originating in the isthmus: comparison with lobe-originating papillary thyroid carcinoma. AJR Am. J. Roentgenol. 203(3), 637–642 (2014). https://doi.org/10.2214/AJR.13.10746

    Article  PubMed  Google Scholar 

  76. Y.J. Chai, S.J. Kim, J.Y. Choi, H. Koo do, K.E. Lee, Y.K: Youn, Papillary thyroid carcinoma located in the isthmus or upper third is associated with Delphian lymph node metastasis. World J. Surg. 38(6), 1306–1311 (2014). https://doi.org/10.1007/s00268-013-2406-x

    Article  PubMed  Google Scholar 

  77. M. Li, X.Y. Zhu, J. Lv, K. Lu, M.P. Shen, Z.L. Xu, Z.S. Wu, Risk factors for predicting central lymph node metastasis in papillary thyroid microcarcinoma (CN0): a study of 273 resections. Eur. Rev. Med Pharm. Sci. 21(17), 3801–3807 (2017)

    CAS  Google Scholar 

  78. D. Xiang, L. Xie, Y. Xu, Z. Li, Y. Hong, P. Wang, Papillary thyroid microcarcinomas located at the middle part of the middle third of the thyroid gland correlates with the presence of neck metastasis. Surgery 157(3), 526–533 (2015). https://doi.org/10.1016/j.surg.2014.10.020

    Article  PubMed  Google Scholar 

  79. J.Y. Kwak, E.K. Kim, M.J. Kim, E.J. Son, W.Y. Chung, C.S. Park, K.H. Nam, Papillary microcarcinoma of the thyroid: predicting factors of lateral neck node metastasis. Ann. Surg. Oncol. 16(5), 1348–1355 (2009). https://doi.org/10.1245/s10434-009-0384-x

    Article  PubMed  Google Scholar 

  80. W.X. Jin, Y.X. Jin, D.R. Ye, Z.C. Zheng, Y.H. Sun, X.F. Zhou, Q. Li, O.C. Wang, H.G. Liu, X.H. Zhang, Predictive factors of skip metastasis in papillary thyroid cancer. Med Sci. Monit. 24, 2744–2749 (2018). https://doi.org/10.12659/MSM.907357

    Article  PubMed  PubMed Central  Google Scholar 

  81. J. Lei, J. Zhu, Z. Li, R. Gong, T. Wei, Surgical procedures for papillary thyroid carcinoma located in the thyroid isthmus: an intention-to-treat analysis. Onco Targets Ther. 9, 5209–5216 (2016). https://doi.org/10.2147/OTT.S106837

    Article  PubMed  PubMed Central  Google Scholar 

  82. I. Vasileiadis, G. Boutzios, M. Karalaki, E. Misiakos, T. Karatzas, Papillary thyroid carcinoma of the isthmus: total thyroidectomy or isthmusectomy? Am. J. Surg. 216(1), 135–139 (2018). https://doi.org/10.1016/j.amjsurg.2017.09.008

    Article  PubMed  Google Scholar 

  83. F. Zhang, O. Oluwo, F.B. Castillo, P. Gangula, M. Castillo, F. Farag, S. Zakaria, T. Zahedi, Thyroid nodule location on ultrasonography as a predictor of malignancy. Endocr. Pract. 25(2), 131–137 (2019). https://doi.org/10.4158/EP-2018-0361

    Article  CAS  PubMed  Google Scholar 

  84. S. Jasim, T.J. Baranski, S.A. Teefey, W.D. Middleton, Investigating the effect of thyroid nodule location on the risk of thyroid cancer. Thyroid 30(3), 401–407 (2020). https://doi.org/10.1089/thy.2019.0478

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  85. V. Ramundo, L. Lamartina, R. Falcone, L. Ciotti, C. Lomonaco, M. Biffoni, L. Giacomelli, M. Maranghi, C. Durante, G. Grani, Is thyroid nodule location associated with malignancy risk? Ultrasonography 38(3), 231–235 (2019). https://doi.org/10.14366/usg.18050

    Article  PubMed  Google Scholar 

  86. E.K. Kim, C.S. Park, W.Y. Chung, K.K. Oh, D.I. Kim, J.T. Lee, H.S. Yoo, New sonographic criteria for recommending fine-needle aspiration biopsy of nonpalpable solid nodules of the thyroid. AJR Am. J. Roentgenol. 178(3), 687–691 (2002)

    PubMed  Google Scholar 

  87. W.J. Moon, S.L. Jung, J.H. Lee, D.G. Na, J.H. Baek, Y.H. Lee, J. Kim, H.S. Kim, J.S. Byun, D.H. Lee, Benign and malignant thyroid nodules: US differentiation—multicenter retrospective study. Radiology 247(3), 762–770 (2008)

    Article  PubMed  Google Scholar 

  88. Y.J. Choi, J.H. Baek, S.H. Baek, W.H. Shim, K.D. Lee, H.S. Lee, Y.K. Shong, E.J. Ha, J.H. Lee, Web-based malignancy risk estimation for thyroid nodules using ultrasonography characteristics: development and validation of a predictive model. Thyroid 25(12), 1306–1312 (2015). https://doi.org/10.1089/thy.2015.0188

    Article  PubMed  Google Scholar 

  89. H.J. Moon, J.Y. Kwak, E.K. Kim, M.J. Kim, A taller-than-wide shape in thyroid nodules in transverse and longitudinal ultrasonographic planes and the prediction of malignancy. Thyroid 21(11), 1249–1253 (2011). https://doi.org/10.1089/thy.2010.0372

    Article  PubMed  Google Scholar 

  90. S.K. Jeh, S.L. Jung, B.S. Kim, Y.S. Lee, Evaluating the degree of conformity of papillary carcinoma and follicular carcinoma to the reported ultrasonographic findings of malignant thyroid tumor. Korean J. Radiol. 8(3), 192–197 (2007). https://doi.org/10.3348/kjr.2007.8.3.192

    Article  PubMed  PubMed Central  Google Scholar 

  91. J.H. Yoon, E.K. Kim, S.W. Hong, J.Y. Kwak, M.J. Kim, Sonographic features of the follicular variant of papillary thyroid carcinoma. J. Ultrasound Med. 27(10), 1431–1437 (2008)

    PubMed  Google Scholar 

  92. S.P. Chen, Y.P. Hu, B. Chen, Taller-than-wide sign for predicting thyroid microcarcinoma: comparison and combination of two ultrasonographic planes. Ultrasound Med Biol. 40(9), 2004–2011 (2014). https://doi.org/10.1016/j.ultrasmedbio.2014.03.023

    Article  PubMed  Google Scholar 

  93. C.Y. Lee, S.J. Kim, K.R. Ko, K.W. Chung, J.H. Lee, Predictive factors for extrathyroidal extension of papillary thyroid carcinoma based on preoperative sonography. J. Ultrasound Med. 33(2), 231–238 (2014). https://doi.org/10.7863/ultra.33.2.231

    Article  PubMed  Google Scholar 

  94. W.J. Moon, S.L. Jung, J.H. Lee, D.G. Na, J.H. Baek, Y.H. Lee, J. Kim, H.S. Kim, J.S. Byun, D.H. Lee; Thyroid Study Group, Korean Society of Neuro- and Head and Neck Radiology, Benign and malignant thyroid nodules: US differentiation–multicenter retrospective study. Radiology 247(3), 762–770 (2008). https://doi.org/10.1148/radiol.2473070944

    Article  PubMed  Google Scholar 

  95. D.M. Richman, C.B. Benson, P.M. Doubilet, H.E. Peters, S.A. Huang, E. Asch, A.J. Wassner, J.R. Smith, C.E. Cherella, M.C. Frates, Thyroid nodules in pediatric patients: sonographic characteristics and likelihood of cancer. Radiology 288(2), 591–599 (2018). https://doi.org/10.1148/radiol.2018171170

    Article  PubMed  Google Scholar 

  96. L.R. Remonti, C.K. Kramer, C.B. Leitao, L.C. Pinto, J.L. Gross, Thyroid ultrasound features and risk of carcinoma: a systematic review and meta-analysis of observational studies. Thyroid 25(5), 538–550 (2015). https://doi.org/10.1089/thy.2014.0353

    Article  PubMed  PubMed Central  Google Scholar 

  97. G. Anil, A. Hegde, F.H. Chong, Thyroid nodules: risk stratification for malignancy with ultrasound and guided biopsy. Cancer Imaging 11, 209–223 (2011). https://doi.org/10.1102/1470-7330.2011.0030

    Article  PubMed  PubMed Central  Google Scholar 

  98. V. Ramundo, C.R.T. Di Gioia, R. Falcone, L. Lamartina, M. Biffoni, L. Giacomelli, S. Filetti, C. Durante, G. Grani, Diagnostic performance of neck ultrasonography in the preoperative evaluation for extrathyroidal extension of suspicious thyroid nodules. World J. Surg. (2020). https://doi.org/10.1007/s00268-020-05482-6

  99. M.C. Chammas, R. Gerhard, I.R. de Oliveira, A. Widman, N. de Barros, M. Durazzo, A. Ferraz, G.G. Cerri, Thyroid nodules: evaluation with power Doppler and duplex Doppler ultrasound. Otolaryngol. Head. Neck Surg. 132(6), 874–882 (2005)

    PubMed  Google Scholar 

  100. W.H. Yuan, H.J. Chiou, Y.H. Chou, H.C. Hsu, C.M. Tiu, C.Y. Cheng, C.H. Lee, Gray-scale and color Doppler ultrasonographic manifestations of papillary thyroid carcinoma: analysis of 51 cases. Clin. Imaging 30(6), 394–401 (2006)

    PubMed  Google Scholar 

  101. R.L.C. Delfim, L. Veiga, A.P.A. Vidal, F. Lopes, M. Vaisman, P. Teixeira, Likelihood of malignancy in thyroid nodules according to a proposed Thyroid Imaging Reporting and Data System (TI-RADS) classification merging suspicious and benign ultrasound features. Arch. Endocrinol. Metab. 61(3), 211–221 (2017). https://doi.org/10.1590/2359-3997000000262

    Article  PubMed  Google Scholar 

  102. W.J. Moon, H.J. Kwag, D.G. Na, Are there any specific ultrasound findings of nodular hyperplasia (“leave me alone” lesion) to differentiate it from follicular adenoma? Acta Radiol. 50(4), 383–388 (2009). https://doi.org/10.1080/02841850902740940

    Article  PubMed  Google Scholar 

  103. E. Koike, S. Noguchi, H. Yamashita, T. Murakami, A. Ohshima, H. Kawamoto, H. Yamashita, Ultrasonographic characteristics of thyroid nodules: prediction of malignancy. Arch. Surg. 136(3), 334–337 (2001)

    CAS  PubMed  Google Scholar 

  104. B.K. Chan, T.S. Desser, I.R. McDougall, R.J. Weigel, R.B. Jeffrey Jr, Common and uncommon sonographic features of papillary thyroid carcinoma. J. Ultrasound Med. 22(10), 1083–1090 (2003)

    PubMed  Google Scholar 

  105. J.Z. Zhang, B. Hu, Sonographic features of thyroid follicular carcinoma in comparison with thyroid follicular adenoma. J. Ultrasound Med. 33(2), 221–227 (2014). https://doi.org/10.7863/ultra.33.2.221

    Article  PubMed  Google Scholar 

  106. A. Lyshchik, V. Drozd, Y. Demidchik, C. Reiners, Diagnosis of thyroid cancer in children: value of gray-scale and power doppler US. Radiology 235(2), 604–613 (2005)

    PubMed  Google Scholar 

  107. A.M. Tahvildari, L. Pan, C.S. Kong, T. Desser, Sonographic-pathologic correlation for punctate echogenic reflectors in papillary thyroid carcinoma: what are they? J. Ultrasound Med. 35(8), 1645–1652 (2016). https://doi.org/10.7863/ultra.15.09048

    Article  PubMed  Google Scholar 

  108. H.Y. Gwon, D.G. Na, B.J. Noh, W. Paik, S.J. Yoon, S.J. Choi, D.R. Shin, Thyroid nodules with isolated macrocalcifications: malignancy risk of isolated macrocalcifications and postoperative risk stratification of malignant tumors manifesting as isolated macrocalcifications. Korean J. Radiol. 21(5), 605–613 (2020). https://doi.org/10.3348/kjr.2019.0523

    Article  PubMed  PubMed Central  Google Scholar 

  109. H. Malhi, M.D. Beland, S.Y. Cen, E. Allgood, K. Daley, S.E. Martin, J.J. Cronan, E.G. Grant, Echogenic foci in thyroid nodules: significance of posterior acoustic artifacts. AJR Am. J. Roentgenol. 203(6), 1310–1316 (2014). https://doi.org/10.2214/AJR.13.11934

    Article  PubMed  Google Scholar 

  110. A. Ahuja, W. Chick, W. King, C. Metreweli, Clinical significance of the comet-tail artifact in thyroid ultrasound. J. Clin. Ultrasound 24(3), 129–133 (1996)

    Article  CAS  PubMed  Google Scholar 

  111. D.T. Ginat, D. Butani, E.J. Giampoli, N. Patel, V. Dogra, Pearls and pitfalls of thyroid nodule sonography and fine-needle aspiration. Ultrasound Q. 26(3), 171–178 (2010). https://doi.org/10.1097/RUQ.0b013e3181efa710

    Article  PubMed  Google Scholar 

  112. K. Klang, A. Kamaya, A.M. Tahvildari, R.B. Jeffrey, T.S. Desser, Atypical thyroid cancers on sonography. Ultrasound Q. 31(1), 69–74 (2015). https://doi.org/10.1097/RUQ.0000000000000079

    Article  PubMed  Google Scholar 

  113. H. Wu, B. Zhang, J. Li, Q. Liu, T. Zhao, Echogenic foci with comet-tail artifact in resected thyroid nodules: not an absolute predictor of benign disease. PLoS ONE 13(1), e0191505 (2018). https://doi.org/10.1371/journal.pone.0191505

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  114. M.D. Beland, L. Kwon, R.A. Delellis, J.J. Cronan, E.G. Grant, Nonshadowing echogenic foci in thyroid nodules: are certain appearances enough to avoid thyroid biopsy? J. Ultrasound Med. 30(6), 753–760 (2011)

    Article  PubMed  Google Scholar 

  115. B. Mallikarjunappa, S.R. Ashish, Ultrasound evaluation of thyroid nodules and its pathological correlation. JIMSA Jan. 27(1), 9–11 (2014)

    Google Scholar 

  116. D.W. Kim, Sonographic features of thyroidal fatty lesions in the thyroid gland: a preliminary study. AJR Am. J. Roentgenol. 207(2), 411–414 (2016). https://doi.org/10.2214/AJR.15.15984

    Article  PubMed  Google Scholar 

  117. Q.S. Li, S.H. Chen, H.H. Xiong, X.H. Xu, Z.Z. Li, G.Q. Guo, Papillary thyroid carcinoma on sonography. Clin. Imaging 34(2), 121–126 (2010). https://doi.org/10.1016/j.clinimag.2009.03.003

    Article  PubMed  Google Scholar 

  118. H. Ota, Y. Ito, F. Matsuzuka, S. Kuma, S. Fukata, S. Morita, K. Kobayashi, Y. Nakamura, K. Kakudo, N. Amino, A. Miyauchi, Usefulness of ultrasonography for diagnosis of malignant lymphoma of the thyroid. Thyroid 16(10), 983–987 (2006)

    Article  PubMed  Google Scholar 

  119. Y. Ito, N. Amino, A. Miyauchi, Thyroid ultrasonography. World J. Surg. 34(6), 1171–1180 (2010). https://doi.org/10.1007/s00268-009-0211-3

    Article  PubMed  Google Scholar 

  120. H.J. Lee, D.Y. Yoon, Y.L. Seo, J.H. Kim, S. Baek, K.J. Lim, Y.K. Cho, E.J. Yun, Intraobserver and Interobserver variability in ultrasound measurements of thyroid nodules. J. Ultrasound Med. 37(1), 173–178 (2018). https://doi.org/10.1002/jum.14316

    Article  PubMed  Google Scholar 

  121. J.Y. Kwak, I. Jung, J.H. Baek, S.M. Baek, N. Choi, Y.J. Choi, S.L. Jung, E.K. Kim, J.A. Kim, J.H. Kim, K.S. Kim, J.H. Lee, J.H. Lee, H.J. Moon, W.J. Moon, J.S. Park, J.H. Ryu, J.H. Shin, E.J. Son, J.Y. Sung, D.G. Na, Korean Society of Thyroid Radiology, Korean Society of Radiology, Image reporting and characterization system for ultrasound features of thyroid nodules: multicentric Korean retrospective study. Korean J. Radiol. 14(1), 110–117 (2013). https://doi.org/10.3348/kjr.2013.14.1.110

    Article  PubMed  Google Scholar 

  122. S.H. Choi, E.K. Kim, J.Y. Kwak, M.J. Kim, E.J. Son, Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules. Thyroid 20(2), 167–172 (2010). https://doi.org/10.1089/thy.2008.0354

    Article  PubMed  Google Scholar 

  123. H.K. Su, L.L. Dos Reis, M.A. Lupo, M. Milas, L.A. Orloff, J.E. Langer, E.M. Brett, E. Kazam, S.L. Lee, G. Minkowitz, E.H. Alpert, E.H. Dewey, M.L. Urken, Striving toward standardization of reporting of ultrasound features of thyroid nodules and lymph nodes: a multidisciplinary consensus statement. Thyroid 24(9), 1341–1349 (2014). https://doi.org/10.1089/thy.2014.0110

    Article  PubMed  Google Scholar 

  124. H.J. Moon, J.Y. Kwak, M.J. Kim, E.J. Son, E.K. Kim, Can vascularity at power Doppler US help predict thyroid malignancy? Radiology 255(1), 260–269 (2010). https://doi.org/10.1148/radiol.09091284

    Article  PubMed  Google Scholar 

  125. D.W. Kim, S.J. Jung, J.W. Eom, T. Kang, Color Doppler features of solid, round, isoechoic thyroid nodules without malignant sonographic features: a prospective cytopathological study. Thyroid 23(4), 472–476 (2013). https://doi.org/10.1089/thy.2012.0238

    Article  PubMed  Google Scholar 

  126. H.J. Moon, J.M. Sung, E.K. Kim, J.H. Yoon, J.H. Youk, J.Y. Kwak, Diagnostic performance of gray-scale US and elastography in solid thyroid nodules. Radiology 262(3), 1002–1013 (2012). https://doi.org/10.1148/radiol.11110839

    Article  PubMed  Google Scholar 

  127. U. Unluturk, M.F. Erdogan, O. Demir, S. Gullu, N. Baskal, Ultrasound elastography is not superior to grayscale ultrasound in predicting malignancy in thyroid nodules. Thyroid 22(10), 1031–1038 (2012). https://doi.org/10.1089/thy.2011.0502

    Article  PubMed  Google Scholar 

  128. C. Asteria, A. Giovanardi, A. Pizzocaro, L. Cozzaglio, A. Morabito, F. Somalvico, A. Zoppo, US-elastography in the differential diagnosis of benign and malignant thyroid nodules. Thyroid 18(5), 523–531 (2008). https://doi.org/10.1089/thy.2007.0323

    Article  PubMed  Google Scholar 

  129. Q. Peng, C. Niu, Q. Zhang, M. Zhang, S. Chen, Q. Peng, Mummified thyroid nodules: conventional and contrast-enhanced ultrasound features. J. Ultrasound Med. (2018). https://doi.org/10.1002/jum.14712

  130. A. Lacout, C. Chevenet, P.Y. Marcy, Mummified thyroid syndrome. AJR Am. J. Roentgenol. 206(4), 837–845 (2016). https://doi.org/10.2214/AJR.15.15267

    Article  PubMed  Google Scholar 

  131. Y. Peng, W. Zhou, W.W. Zhan, S.Y. Xu, Ultrasonographic assessment of differential diagnosis between degenerating cystic thyroid nodules and papillary thyroid microcarcinomas. World J. Surg. 41(10), 2538–2544 (2017). https://doi.org/10.1007/s00268-017-4060-1

    Article  PubMed  Google Scholar 

  132. Q. Wu, Y. Wang, Y. Li, B. Hu, Z.Y. He, Diagnostic value of contrast-enhanced ultrasound in solid thyroid nodules with and without enhancement. Endocrine 53(2), 480–488 (2016). https://doi.org/10.1007/s12020-015-0850-0

    Article  CAS  PubMed  Google Scholar 

  133. J.Q. Zhou, Y.Y. Song, W.W. Zhan, X. Wei, S. Zhang, R.F. Zhang, Y. Gu, X. Chen, L.Y. Shi, X.M. Luo, L.C. Yang, Q.Y. Li, B.Y. Bai, X.H. Ye, H. Zhai, H. Zhang, X.H. Jia, Y.J. Dong, J.W. Zhang, Z.F. Yang, H.T. Zhang, Y. Zheng, W.W. Xu, L.M. Lai, L.X. Yin, The Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of Chinese Medical Association, The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound, Thyroid Imaging Reporting and Data System (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China. Endocrine in press (2020)

  134. C.S. Park, S.H. Kim, S.L. Jung, B.J. Kang, J.Y. Kim, J.J. Choi, M.S. Sung, H.W. Yim, S.H. Jeong, Observer variability in the sonographic evaluation of thyroid nodules. J. Clin. Ultrasound 38(6), 287–293 (2010). https://doi.org/10.1002/jcu.20689

    Article  PubMed  Google Scholar 

  135. C. Cappelli, I. Pirola, E. Gandossi, A.M. Formenti, B. Agosti, M. Castellano, Ultrasound findings of subacute thyroiditis: a single institution retrospective review. Acta Radiol. 55(4), 429–433 (2014). https://doi.org/10.1177/0284185113498721

    Article  CAS  PubMed  Google Scholar 

  136. S.Y. Park, E.K. Kim, M.J. Kim, B.M. Kim, K.K. Oh, S.W. Hong, C.S. Park, Ultrasonographic characteristics of subacute granulomatous thyroiditis. Korean J. Radiol. 7(4), 229–234 (2006). https://doi.org/10.3348/kjr.2006.7.4.229

    Article  PubMed  PubMed Central  Google Scholar 

  137. J.A. Bonavita, Sonographic patterns of benign thyroid nodules. AJR Am. J. Roentgenol. 198(1), W102–103 (2012). https://doi.org/10.2214/AJR.11.7737

    Article  PubMed  Google Scholar 

  138. V. Virmani, I. Hammond, Sonographic patterns of benign thyroid nodules: verification at our institution. AJR Am. J. Roentgenol. 196(4), 891–895 (2011). https://doi.org/10.2214/AJR.10.5363

    Article  PubMed  Google Scholar 

  139. J.A. Bonavita, J. Mayo, J. Babb, G. Bennett, T. Oweity, M. Macari, J. Yee, Pattern recognition of benign nodules at ultrasound of the thyroid: which nodules can be left alone? AJR Am. J. Roentgenol. 193(1), 207–213 (2009). https://doi.org/10.2214/AJR.08.1820

    Article  PubMed  Google Scholar 

  140. I. Zosin, M. Balas, Clinical, ultrasonographical and histopathological aspects in Hashimoto’s thyroiditis associated with malignant and benign thyroid nodules. Endokrynol. Pol. 64(4), 255–262 (2013)

    Article  PubMed  Google Scholar 

  141. J.D. Iannuccilli, J.J. Cronan, J.M. Monchik, Risk for malignancy of thyroid nodules as assessed by sonographic criteria: the need for biopsy. J. Ultrasound Med. 23(11), 1455–1464 (2004). https://doi.org/10.7863/jum.2004.23.11.1455

    Article  PubMed  Google Scholar 

  142. H.K. Jung, S.W. Hong, E.K. Kim, J.H. Yoon, J.Y. Kwak, Diffuse sclerosing variant of papillary thyroid carcinoma: sonography and specimen radiography. J. Ultrasound Med. 32(2), 347–354 (2013). https://doi.org/10.7863/jum.2013.32.2.347

    Article  PubMed  Google Scholar 

  143. Y. Zhang, D. Xia, P. Lin, L. Gao, G. Li, W. Zhang, Sonographic findings of the diffuse sclerosing variant of papillary carcinoma of the thyroid. J. Ultrasound Med. 29(8), 1223–1226 (2010). https://doi.org/10.7863/jum.2010.29.8.1223

    Article  PubMed  Google Scholar 

  144. J.H. Kim, J.H. Baek, H.K. Lim, H.S. Ahn, S.M. Baek, Y.J. Choi, Y.J. Choi, S.R. Chung, E.J. Ha, S.Y. Hahn, S.L. Jung, D.S. Kim, S.J. Kim, Y.K. Kim, C.Y. Lee, J.H. Lee, K.H. Lee, Y.H. Lee, J.S. Park, H. Park, J.H. Shin, C.H. Suh, J.Y. Sung, J.S. Sim, I. Youn, M. Choi, D.G. Na; Guideline Committee for the Korean Society of Thyroid Radiology, Korean Society of Radiology, 2017 Thyroid Radiofrequency Ablation Guideline: Korean Society of Thyroid Radiology. Korean J. Radiol. 19(4), 632–655 (2018). https://doi.org/10.3348/kjr.2018.19.4.632

    Article  PubMed  PubMed Central  Google Scholar 

  145. H. Kim, H.J. Jung, S.Y. Lee, T.K. Kwon, K.H. Kim, M.W. Sung, J. Hun Hah, Prognostic factors of locally invasive well-differentiated thyroid carcinoma involving the trachea. Eur. Arch. Otorhinolaryngol. 273(7), 1919–1926 (2016). https://doi.org/10.1007/s00405-015-3724-4

    Article  PubMed  Google Scholar 

  146. W. Chen, J. Lei, J. You, Y. Lei, Z. Li, R. Gong, H. Tang, J. Zhu, Predictive factors and prognosis for recurrent laryngeal nerve invasion in papillary thyroid carcinoma. Onco Targets Ther. 10, 4485–4491 (2017). https://doi.org/10.2147/OTT.S142799

    Article  PubMed  PubMed Central  Google Scholar 

  147. A. Al Afif, B.A. Williams, M.H. Rigby, M.J. Bullock, S.M. Taylor, J. Trites, R.D. Hart, Multifocal papillary thyroid cancer increases the risk of central lymph node metastasis. Thyroid 25(9), 1008–1012 (2015). https://doi.org/10.1089/thy.2015.0130

    Article  PubMed  Google Scholar 

  148. L. Genpeng, L. Jianyong, Y. Jiaying, J. Ke, L. Zhihui, G. Rixiang, Z. Lihan, Z. Jingqiang, Independent predictors and lymph node metastasis characteristics of multifocal papillary thyroid cancer. Medicine 97(5), e9619 (2018). https://doi.org/10.1097/MD.0000000000009619

    Article  PubMed  PubMed Central  Google Scholar 

  149. J. Jiang, H. Lu, Immediate surgery might be a better option for subcapsular thyroid microcarcinomas. Int. J. Endocrinol. 2019, 6 (2019). https://doi.org/10.1155/2019/3619864

    Article  Google Scholar 

  150. S. Schenke, P. Seifert, M. Zimny, T. Winkens, I. Binse, R. Gorges, Risk stratification of thyroid nodules using the Thyroid Imaging Reporting and Data System (TIRADS): the omission of thyroid scintigraphy increases the rate of falsely suspected lesions. J. Nucl. Med. 60(3), 342–347 (2019). https://doi.org/10.2967/jnumed.118.211912

    Article  CAS  PubMed  Google Scholar 

  151. W. Zhou, S. Jiang, W. Zhan, J. Zhou, S. Xu, L. Zhang, Ultrasound-guided percutaneous laser ablation of unifocal T1N0M0 papillary thyroid microcarcinoma: preliminary results. Eur. Radiol. 27(7), 2934–2940 (2017). https://doi.org/10.1007/s00330-016-4610-1

    Article  PubMed  Google Scholar 

  152. D. Teng, G. Sui, C. Liu, Y. Wang, Y. Xia, H. Wang, Long-term efficacy of ultrasound-guided low power microwave ablation for the treatment of primary papillary thyroid microcarcinoma: a 3-year follow-up study. J. Cancer Res. Clin. Oncol. 144(4), 771–779 (2018). https://doi.org/10.1007/s00432-018-2607-7

    Article  PubMed  Google Scholar 

  153. S.Y. Jeong, J.H. Baek, Y.J. Choi, S.R. Chung, T.Y. Sung, W.G. Kim, T.Y. Kim, J.H. Lee, Radiofrequency ablation of primary thyroid carcinoma: efficacy according to the types of thyroid carcinoma. Int. j. Hyperth. Off. J. Eur. Soc. Hyperth. Oncol. N. Am. Hyperth. Group 1–6 (2018). https://doi.org/10.1080/02656736.2018.1427288

  154. W. Zhou, X. Ni, S. Xu, L. Zhang, Y. Chen, W. Zhan, Ultrasound-guided laser ablation versus microwave ablation for patients with unifocal papillary thyroid microcarcinoma: a retrospective study. Lasers Surg. Med. (2020). https://doi.org/10.1002/lsm.23238

  155. M.H. Ge, D. Xu, A.K. Yang, R.C. Cheng, H. Sun, H.C. Wang, J.Q. Zhang, Z.G. Cheng, Z.Y. wu, Expert consensus on thermal ablation for thyroid benign nodes, microcarcinoma and metastatic cervical lymph nodes (2018 Edition). China Cancer 27(10), 768–773 (2018)

    Google Scholar 

  156. Thyroid Cancer committee of Zhejiang Anti-Cancer Association, Expert consensus on thermal ablation for thyroid benign nodes, microcarcinoma and metastatic cervical lymph nodes (2015 edition). Chin. J. Gen. Surg. 25(7), 944–946 (2016). https://doi.org/10.3978/j.issn.1005-6947.2016.07.002

    Article  Google Scholar 

  157. M. Gao, M. Ge, Q. Ji, R. Cheng, H. Lu, H. Guan, L. Gao, Z. Guo, T. Huang, X. Huang, X. Li, Y. Lin, Q. Liu, X. Ni, Y. Pan, J. Qin, Z. Shan, H. Sun, X. Wang, Z. Xu, Y. Yu, D. Zhao, N. Zhang, S. Zhang, Y. Zheng, J. Zhu, D. Li, X. ZhengChinese Association of Thyroid Oncology (CATO), Chinese Anti-Cancer Association, 2016 Chinese expert consensus and guidelines for the diagnosis and treatment of papillary thyroid microcarcinoma. Cancer Biol. Med 14(3), 203–211 (2017). https://doi.org/10.20892/j.issn.2095-3941.2017.0051

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to express our sincere gratitude to all doctors from the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound (CAAU) member hospitals who provided ultrasound data on thyroid nodules for this study.

The Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association

BaoMing Luo24, BeiJian Huang25, ChaoYang Wen26, ChengRong Mi27, DaoZhong Huang28, EnSheng Xue29, Gang Wu30, GuoQing Du31, HaiTao Ran32, HuiJuan Xiang33, JiaAn Zhu34, Jian Wang35, JianChu Li36, Jie Tang37, Jing Li38, JingChun Yang39, Lei Zhang39, LiGang Cui40, LingYun Bao41, LiXue Yin42, Man Lu43, Mei Zhu44, Min Chen45, Nima Yuzhen46, PengFei Zhang47, Rong Wu48, RuiJun Guo49, ShaoYun Hao24, ShiBao Fang50, Tao Chen51, WeiWei Zhan52, Ying Zhu53, YingJia Li54, YongPing Lu55, YouBin Deng28, YuanYi Zheng56, Yue Chen57, YuKun Luo37, YuLan Peng58

The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound

Bai BaoYan59, Cai YuanJin60, Chang Xin61, Che Guihua62, Chen Fu63, Chen HongTian64, Chen HongYan65,66, Chen HuiPin67, Chen Jiehuan68, Chen NianQiao69, Chen Wu35, Chen Xinguang70, Chen XiuPing71, Cui Guanghe72, Dai LiPing73, Deng XueDong74, Dong LiLi75, Du Gang76, Fang Chao77, Fang FengKai78, Fei ZhengDong79, Feng LiLi80, Fu Jian81, Guan Ling82, Guo JianQin83, Han Wen84, He Nianan85, He ShaoZheng86, He XueMei87, Hou AiQin88, Hu Jie89, Hu LiYan90, Huang DingWei91, Huang JianYuan92, Huang Li93, Huang PeiPei94, Huang WeiWei95, Jia LiQiong96, Jiang Xinhui97, Kang huiLi98, Kong XiangChong99, Lei XiaoQing100, Li AnYang101, Li Chen102, Li Cheng103, Li ChuanYin104, Li Dong105, Li HaiYan106, Li HongMei107, Li HuiWen108, Li JianXin109, Li Ning110, Li QiaoYing111, Li QinYing112, Li Tao113, Li WenDong114, Li XingYun115, Li Zhao116, Liang GuoSheng117, Lin Jie118, Liu Aihua119, Liu HongMin120, Liu Jia121, Liu Kun122, Liu YanChao123, Lou KeXin124, Lu YeJun125, Mao Feng126, Miao Juan127, Ni XueJun128, Pan XiaoJie129, Pang Yun130, Peng Mei131, Peng ZhenYi72, Pi YanMin132, Qi TingYue133, Qin QianMiao134, Qing Shunhua135, Qu JianFeng136, Ren Jinhe137, RenaguLi AiSha138, Ru RongRong139, Shen Tao140, Shi HongWei141, Shi Jie142, Shi LiYing143, Shou JinDuo144, Song LinLin145, Su DeMin146, Sun AnYi147, Sun Zhuogui148, Tang Binhui149, Tang Li Na150, Wan Qing151, Wang Fang152,153, Wang Jing154, Wang JinPing155, Wang Li156, Wang Wei157, Wang XinFang158, Wang YaLi159, Wang YanBin160, Wang YanQing161, Wang YanZhen162, Wang YingChun163, Wang YuanSheng46, Wang ZhaoRui164, Wu ChangJun165, Wu HaiYan166, Wu Jing167, Wu JinYu168, Wu Liang169, Wu LinSong170, Wu Qing171, Wu Tao172, Wu Ting74,173, Wu WenJing174, Wu ZhiLing175, Wu ZhongQiu176, Xiao LiFang177, Xie ChuanWen178, Xie Xiaohong179, Xu Quan180, Xue Dan181, Yan JingBin182, Yan JiPing183, Yang JianQing184, Yang Jie185, Yang QingYa186, Yang XiaoQing187, Yang XueWen188, Yang Yan189, Yang YingMei190, Yang Yinguang191, Ye Xinhua192, Ye YuQuan193, You Tao194, Yu Liang195, Yu XiaoQin196, Yuan Hui197, Yuan Zhihong74, Ze Liang198, Zeng Shue199, Zhang Hui200, Zhang Jian201, Zhang JianLei202, Zhang LiJuan203, Zhang LiLi204, Zhang Na205, Zhang PanPan206, Zhang Tong207, Zhang WenJun208, Zhang XiaoDong209, Zhang Yan210,211, Zhang Yuhong212, Zhang Yuhua213, Zhang YunFei214, Zhang ZiZhen32, Zhang ZiZhen215, Zhao Feng216, Zhao Li217, Zhao Yu218, Zhou Hong219, Zhou JianQiao103, Zhou Na220, Zhou Peng221, Zhou Ruhai222, Zhou XianLi31, Zhou YiBo223, Zhu Bin224, Zhu LiSha225, Zhu Zheng226, Zou Bao227

Author information

Authors and Affiliations

Authors

Consortia

Corresponding authors

Correspondence to JianQiao Zhou, LiXue Yin or WeiWei Zhan.

Ethics declarations

Conflict of interest

The authors declare that there is no conflict of interest.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Members of The Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association and The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound are listed below Acknowledgements.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, J., Yin, L., Wei, X. et al. 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS. Endocrine 70, 256–279 (2020). https://doi.org/10.1007/s12020-020-02441-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12020-020-02441-y

Keywords

Navigation