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

Giovanni Mauri, Salvatore Gitto, Vito Cantisani, Gianfranco Vallone, Cosima Schiavone, Enrico Papini, Luca Maria Sconfienza

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Publication statusAccepted/In press - Jan 1 2020


  • Fine needle aspiration biopsy
  • Structured reporting
  • Thyroid cancer
  • Thyroid nodule
  • Ultrasound

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology


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