Sommario
La prevalenza dei noduli tiroidei nella popolazione generale è in continuo incremento, e per almeno la metà dei noduli sottoposti a FNA il risultato della citologia è benigno. I sistemi di classificazione ecografica del rischio sono stati proposti anche come test di esclusione, utilizzati al fine di identificare i noduli che non necessitano di agoaspirato tiroideo. Scopo di questa rassegna è valutare le più recenti evidenze scientifiche sulla capacità delle classificazioni ecografiche del rischio nell’identificare i noduli da non sottoporre a FNA.
Bibliografia
Haugen BR, Alexander EK, Bible KC et al. (2016) 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
Floridi C, Cellina M, Buccimazza G et al. (2019) Ultrasound imaging classifications of thyroid nodules for malignancy risk stratification and clinical management: state of the art. Gland Surg 8(Suppl 3):S233–S244
Horvath E, Majlis S, Rossi R et al. (2009) An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 94(5):1748–1751
Campanella P, Ianni F, Rota CA et al. (2014) Quantification of cancer risk of each clinical and ultrasonographic suspicious feature of thyroid nodules: a systematic review and meta-analysis. Eur J Endocrinol 170(5):R203–211
Choi SH, Kim EK, Kwak JY et al. (2010) Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules. Thyroid 20(2):167–172
Xu T, Wu Y, Wu RX et al. (2019) Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination. Endocrine 64(2):299–307
Grani G, Lamartina L, Ascoli V et al. (2019) Reducing the number of unnecessary thyroid biopsies while improving diagnostic accuracy: toward the “right” TIRADS. J Clin Endocrinol Metab 104(1):95–102
Ha EJ, Na DG, Baek JH et al. (2018) US fine-needle aspiration biopsy for thyroid malignancy: diagnostic performance of seven society guidelines applied to 2000 thyroid nodules. Radiology 287(3):893–900
Gharib H, Papini E, Garber JR et al. (2016) 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
Russ G, Bonnema SJ, Erdogan MF et al. (2017) European Thyroid Association guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: the EU-TIRADS. Eur Thyroid J 6(5):225–237
Tessler FN, Middleton WD, Grant EG et al. (2017) 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
Shin JH, Baek JH, Chung J et al. (2016) Ultrasonography diagnosis and imaging-based management of thyroid nodules: revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations. Korean J Radiol 17(3):370–395
Perros P, Boelaert K, Colley S et al. (2014) Guidelines for the management of thyroid cancer. Clin Endocrinol (Oxf) 81(Suppl 1):1–122
Horvath E, Silva CF, Majlis S et al. (2017) Prospective validation of the ultrasound based TIRADS (Thyroid Imaging Reporting And Data System) classification: results in surgically resected thyroid nodules. Eur Radiol 27(6):2619–2628
Yoon JH, Lee HS, Kim EK et al. (2016) 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
Chng CL, Tan HC, Too CW et al. (2018) Diagnostic performance of ATA, BTA and TIRADS sonographic patterns in the prediction of malignancy in histologically proven thyroid nodules. Singap Med J 59(11):578–583
Persichetti A, Di Stasio E, Guglielmi R et al. (2018) Predictive value of malignancy of thyroid nodule ultrasound classification systems: a prospective study. J Clin Endocrinol Metab 103(4):1359–1368
Ha EJ, Moon WJ, Na DG et al. (2016) A multicenter prospective validation study for the Korean Thyroid Imaging Reporting and Data System in patients with thyroid nodules. Korean J Radiol 17(5):811–821
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Gli autori Adriano Naselli, Dario Tumino e Francesco Frasca dichiarano di non avere conflitti di interesse.
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Naselli, A., Tumino, D. & Frasca, F. Validità dei sistemi di classificazione ecografica nell’identificare i noduli tiroidei da non sottoporre all’agoaspirato. L'Endocrinologo 21, 108–114 (2020). https://doi.org/10.1007/s40619-020-00681-8
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DOI: https://doi.org/10.1007/s40619-020-00681-8