Skip to main content
Log in

Use of the Thyroid Imaging Reporting and Data System (TIRADS) in clinical practice: an Italian survey

  • Original Article
  • Published:
Endocrine Aims and scope Submit manuscript

Abstract

Purpose

To perform an online survey about the use of Thyroid Imaging Reporting and Data System (TIRADS) classification in Italy.

Methods

An online questionnaire was administered to all members of the Italian Society of Medical and Interventional Radiology (Società Italiana di Radiologia Medica ed Interventistica, SIRM) and Italian Society of Ultrasound in Medicine and Biology (Società Italiana di Ultrasonologia in Medicina e Biologia, SIUMB). The survey consisted of 14 questions about demographics, knowledge, and the use of TIRADS classification, current job, expertize in thyroid ultrasound and fine needle aspiration biopsy, and work environment. Descriptive and nonparametric statistics were used, with P < 0.05 indicating statistical significance.

Results

A total of 1544 answers (9.8% out of 15,836) were received. The participants were 45 (36–59) years old [median (25th–75th percentiles)] and mostly (53.6%) familiar with TIRADS classification. Structured reporting (P < 0.001), expertize in thyroid ultrasound (P = 0.005) and fine needle aspiration biopsy (P < 0.001), and work in a multidisciplinary team (P < 0.001) were associated with the use of TIRADS classification. Physicians working in other fields than radiology were more prone to using TIRADS classification than radiologists and radiologists-in-training (P < 0.001).

Conclusion

Most physicians adopt TIRADS classification when performing thyroid ultrasound. TIRADS classification provides recommendations for the management of thyroid nodules and its use has to be encouraged.

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.

Similar content being viewed by others

References

  1. S. Gitto, G. Grassi, C. De Angelis, C.G. Monaco, S. Sdao, F. Sardanelli, L.M. Sconfienza, G. Mauri, A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound. Radiol. Med. 124, 118–125 (2019). https://doi.org/10.1007/s11547-018-0942-z

    Article  PubMed  Google Scholar 

  2. G. Russ, S. Leboulleux, L. Leenhardt, L. Hegedus, Thyroid incidentalomas: epidemiology, risk stratification with ultrasound and workup. Eur. Thyroid J. 3, 154–163 (2014). https://doi.org/10.1159/000365289

    Article  PubMed  PubMed Central  Google Scholar 

  3. C.F. Dietrich, T. Muller, J. Bojunga, Y. Dong, G. Mauri, M. Radzina, M. Dighe, X.W. Cui, F. Grunwald, A. Schuler, A. Ignee, H. Korkusuz, Statement and recommendations on interventional ultrasound as a thyroid diagnostic and treatment procedure. Ultrasound Med. Biol. 44, 14–36 (2018). https://doi.org/10.1016/j.ultrasmedbio.2017.08.1889

    Article  PubMed  Google Scholar 

  4. S. Gitto, S. Bisdas, I. Emili, L. Nicosia, L.C. Pescatori, K. Bhatia, R.K. Lingam, F. Sardanelli, L.M. Sconfienza, G. Mauri, Clinical practice guidelines on ultrasound-guided fine needle aspiration biopsy of thyroid nodules: a critical appraisal using AGREE II. Endocrine 65, 371–378 (2019). https://doi.org/10.1007/s12020-019-01898-w

    Article  CAS  PubMed  Google Scholar 

  5. G. Mauri, C.M. Pacella, E. Papini, L.M. Sconfienza, L. Solbiati, Proceedings of the first Italian conference on thyroid minimally invasive treatments and foundation of the Italian research group for thyroid minimally invasive procedures. Int. J. Hyperth. 34, 603–605 (2018). https://doi.org/10.1080/02656736.2018.1442590

    Article  Google Scholar 

  6. A. Ozel, S.M. Erturk, A. Ercan, B. Yilmaz, T. Basak, V. Cantisani, M. Basak, Z. Karpat, The diagnostic efficiency of ultrasound in characterization for thyroid nodules: how many criteria are required to predict malignancy? Med. Ultrason 14, 24–28 (2012)

    Google Scholar 

  7. 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, 538–550 (2015). https://doi.org/10.1089/thy.2014.0353

    Article  PubMed  PubMed Central  Google Scholar 

  8. P. Campanella, F. Ianni, C.A. Rota, S.M. Corsello, A. Pontecorvi, Quantification of cancer risk of each clinical and ultrasonographic suspicious feature of thyroid nodules: a systematic review and meta-analysis. Eur. J. Endocrinol. 170, R203–R211 (2014). https://doi.org/10.1530/EJE-13-0995

    Article  CAS  PubMed  Google Scholar 

  9. V. Cantisani, E. David, H. Grazhdani, A. Rubini, M. Radzina, C.F. Dietrich, C. Durante, L. Lamartina, G. Grani, A. Valeria, D. Bosco, C. Di Gioia, F.M. Frattaroli, V. D’Andrea, C. De Vito, D. Fresilli, F. D’Ambrosio, L. Giacomelli, C. Catalano, Prospective Evaluation of Semiquantitative Strain Ratio and Quantitative 2D Ultrasound Shear Wave Elastography (SWE) in Association with TIRADS Classification for Thyroid Nodule Characterization. Ultraschall Med. 40, 495–503 (2019). https://doi.org/10.1055/a-0853-1821

    Article  PubMed  Google Scholar 

  10. V. Cantisani, P. Maceroni, V. D’Andrea, G. Patrizi, M. Di Segni, C. De Vito, H. Grazhdani, A.M. Isidori, E. Giannetta, A. Redler, F. Frattaroli, L. Giacomelli, G. Di Rocco, C. Catalano, F. D’Ambrosio, Strain ratio ultrasound elastography increases the accuracy of colour-Doppler ultrasound in the evaluation of Thy-3 nodules. A bi-centre university experience. Eur. Radiol. 26, 1441–1449 (2016). https://doi.org/10.1007/s00330-015-3956-0

    Article  PubMed  Google Scholar 

  11. J.P. Brito, M.R. Gionfriddo, A. Al Nofal, K.R. Boehmer, A.L. Leppin, C. Reading, M. Callstrom, T.A. Elraiyah, L.J. Prokop, M.N. Stan, M.H. Murad, J.C. Morris, V.M. Montori, The accuracy of thyroid nodule ultrasound to predict thyroid cancer: systematic review and meta-analysis. J. Clin. Endocrinol. Metab. 99, 1253–1263 (2014). https://doi.org/10.1210/jc.2013-2928

    Article  CAS  PubMed  Google Scholar 

  12. G. Grani, L. Lamartina, V. Cantisani, M. Maranghi, P. Lucia, C. Durante, Interobserver agreement of various thyroid imaging reporting and data systems. Endocr. Connect. 7, 1–7 (2018). https://doi.org/10.1530/EC-17-0336

    Article  PubMed  Google Scholar 

  13. 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, 1748–1751 (2009). https://doi.org/10.1210/jc.2008-1724

    Article  CAS  PubMed  Google Scholar 

  14. 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, 225–237 (2017). https://doi.org/10.1159/000478927

    Article  PubMed  PubMed Central  Google Scholar 

  15. 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, 587–595 (2017). https://doi.org/10.1016/j.jacr.2017.01.046

    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, R., Korean Society of, R.: ultrasonography diagnosis and imaging-based management of thyroid nodules: revised Korean society of thyroid radiology consensus statement and recommendations. Korean J. Radiol. 17, 370–395 (2016). https://doi.org/10.3348/kjr.2016.17.3.370

    Article  PubMed  PubMed Central  Google Scholar 

  17. E.J. Ha, W.J. Moon, D.G. Na, Y.H. Lee, N. Choi, S.J. Kim, J.K. Kim, A. Multicenter Prospective, Validation Study for the Korean Thyroid Imaging Reporting and Data System in Patients with Thyroid Nodules. Korean J. Radiol. 17, 811–821 (2016). https://doi.org/10.3348/kjr.2016.17.5.811

    Article  PubMed  PubMed Central  Google Scholar 

  18. P. Trimboli, R. Ngu, B. Royer, L. Giovanella, C. Bigorgne, R. Simo, P. Carroll, G. Russ, A multicentre validation study for the EU-TIRADS using histological diagnosis as a gold standard. Clin. Endocrinol. 91, 340–347 (2019). https://doi.org/10.1111/cen.13997

    Article  Google Scholar 

  19. T. Xu, Y. Wu, R.X. Wu, Y.Z. Zhang, J.Y. Gu, X.H. Ye, W. Tang, S.H. Xu, C. Liu, X.H. Wu, Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination. Endocrine 64, 299–307 (2019). https://doi.org/10.1007/s12020-018-1817-8

    Article  CAS  PubMed  Google Scholar 

  20. Società Italiana di Radiologia Medica. https://http://www.sirm.org/. Accessed Jul 2019

  21. Società Italiana di Ultrasonologia in Medicina e Biologia. http://www.siumb.it/. Accessed Jul 2019

  22. Google Documents. https://http://www.google.com/intl/en-GB/forms/about/. Accessed Jul 2019

  23. 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, 95–102 (2019). https://doi.org/10.1210/jc.2018-01674

    Article  PubMed  Google Scholar 

  24. A.S. Griffin, J. Mitsky, U. Rawal, A.J. Bronner, F.N. Tessler, J.K. Hoang, Improved quality of thyroid ultrasound reports after implementation of the ACR thyroid imaging reporting and data system nodule lexicon and risk stratification system. J. Am. Coll. Radiol. 15, 743–748 (2018). https://doi.org/10.1016/j.jacr.2018.01.024

    Article  PubMed  Google Scholar 

  25. G. Mauri, C.M. Pacella, E. Papini, L. Solbiati, S.N. Goldberg, M. Ahmed, L.M. Sconfienza, Image-guided thyroid ablation: proposal for standardization of terminology and reporting criteria. Thyroid 29, 611–618 (2019). https://doi.org/10.1089/thy.2018.0604

    Article  PubMed  Google Scholar 

  26. E. Papini, C.M. Pacella, L.A. Solbiati, G. Achille, D. Barbaro, S. Bernardi, V. Cantisani, R. Cesareo, A. Chiti, L. Cozzaglio, A. Crescenzi, F. De Cobelli, M. Deandrea, L. Fugazzola, G. Gambelunghe, R. Garberoglio, G. Giugliano, L. Luzi, R. Negro, L. Persani, B. Raggiunti, F. Sardanelli, E. Seregni, M. Sollini, S. Spiezia, F. Stacul, D. Van Doorne, L.M. Sconfienza, G. Mauri, Minimally-invasive treatments for benign thyroid nodules: a Delphi-based consensus statement from the Italian minimally-invasive treatments of the thyroid (MITT) group. Int. J. Hyperth. 36, 376–382 (2019). https://doi.org/10.1080/02656736.2019.1575482

    Article  Google Scholar 

  27. Trimboli, P., Castellana, M., Sconfienza, L. M., Virili, C., Pescatori, L. C., Cesareo, R., Giorgino, F., Negro, R., Giovanella, L., Mauri, G.: Efficacy of thermal ablation in benign non-functioning solid thyroid nodule: a systematic review and meta-analysis. Endocrine (2019). https://doi.org/10.1007/s12020-019-02019-3

  28. E.S. Burnside, E.A. Sickles, L.W. Bassett, D.L. Rubin, C.H. Lee, D.M. Ikeda, E.B. Mendelson, P.A. Wilcox, P.F. Butler, C.J. D’Orsi, The ACR BI-RADS experience: learning from history. J. Am. Coll. Radiol. 6, 851–860 (2009). https://doi.org/10.1016/j.jacr.2009.07.023

    Article  PubMed  PubMed Central  Google Scholar 

  29. 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, 1–133 (2016). https://doi.org/10.1089/thy.2015.0020

    Article  PubMed  PubMed Central  Google Scholar 

  30. T. Rago, V. Cantisani, F. Ianni, L. Chiovato, R. Garberoglio, C. Durante, A. Frasoldati, S. Spiezia, R. Farina, G. Vallone, A. Pontecorvi, P. Vitti, Thyroid ultrasonography reporting: consensus of Italian Thyroid Association (AIT), Italian Society of Endocrinology (SIE), Italian Society of Ultrasonography in Medicine and Biology (SIUMB) and Ultrasound Chapter of Italian Society of Medical Radiology (SIRM). J. Endocrinol. Investig. 41, 1435–1443 (2018). https://doi.org/10.1007/s40618-018-0935-8

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Authors wish to thank the work of the secretary offices of SIRM and SIUMB who helped in the management of emails sent out for the present survey.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Salvatore Gitto.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mauri, G., Gitto, S., Cantisani, V. et al. Use of the Thyroid Imaging Reporting and Data System (TIRADS) in clinical practice: an Italian survey. Endocrine 68, 329–335 (2020). https://doi.org/10.1007/s12020-020-02199-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12020-020-02199-3

Keywords

Navigation