Giovanni Mauri1,2, Salvatore Gitto3, Vito Cantisani4,5, Gianfranco Vallone6, Cosima Schiavone7,8, Enrico Papini9, Luca Maria Sconfienza10,11. 1. Divisione di Radiologia Interventistica, IRCCS Istituto Europeo di Oncologia, Milano, Italy. 2. Dipartimento di Oncologia ed Emato-Oncologia, Università degli Studi di Milano, Milano, Italy. 3. Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy. sal.gitto@gmail.com. 4. Unità operativa di Innovazioni Diagnostiche e Ultrasonografiche, Azienda Ospedaliera Universitaria Policlinico Umberto I, Roma, Italy. 5. Dipartimento di Scienze Radiologiche, Oncologiche e Anatomo-patologiche, Università degli Studi di Roma "La Sapienza", Roma, Italy. 6. Departimento Vita e Salute "V. Tiberio", Università degli Studi del Molise, Campobasso, Italy. 7. Unità operativa di Ecografia Internistica, Policlinico SS. Annunziata, Chieti, Italy. 8. Dipartimento di Medicina e Scienze dell'Invecchiamento, Università degli Studi di Chieti e Pescara "G. D'Annunzio", Chieti, Italy. 9. Dipartimento di Endocrinologia, Ospedale Regina Apostolorum, Albano Laziale, Italy. 10. Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy. 11. IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
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.
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.
Authors: Salvatore Gitto; Sotirios Bisdas; Ilaria Emili; Luca Nicosia; Lorenzo Carlo Pescatori; Kunwar Bhatia; Ravi K Lingam; Francesco Sardanelli; Luca Maria Sconfienza; Giovanni Mauri Journal: Endocrine Date: 2019-03-22 Impact factor: 3.633
Authors: Salvatore Gitto; Giorgia Grassi; Chiara De Angelis; Cristian Giuseppe Monaco; Silvana Sdao; Francesco Sardanelli; Luca Maria Sconfienza; Giovanni Mauri Journal: Radiol Med Date: 2018-09-22 Impact factor: 3.469
Authors: Christoph F Dietrich; Thomas Müller; Jörg Bojunga; Yi Dong; Giovanni Mauri; Maija Radzina; Manjiri Dighe; Xin-Wu Cui; Frank Grünwald; Andreas Schuler; Andre Ignee; Huedayi Korkusuz Journal: Ultrasound Med Biol Date: 2017-11-07 Impact factor: 2.998
Authors: Juan P Brito; Michael R Gionfriddo; Alaa Al Nofal; Kasey R Boehmer; Aaron L Leppin; Carl Reading; Matthew Callstrom; Tarig A Elraiyah; Larry J Prokop; Marius N Stan; M Hassan Murad; John C Morris; Victor M Montori Journal: J Clin Endocrinol Metab Date: 2013-11-25 Impact factor: 5.958