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.
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References
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
Società Italiana di Radiologia Medica. https://http://www.sirm.org/. Accessed Jul 2019
Società Italiana di Ultrasonologia in Medicina e Biologia. http://www.siumb.it/. Accessed Jul 2019
Google Documents. https://http://www.google.com/intl/en-GB/forms/about/. Accessed Jul 2019
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
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
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
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
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
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
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
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
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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.
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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
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DOI: https://doi.org/10.1007/s12020-020-02199-3