Predictors of malignancy in high-risk indeterminate (TIR3B) cytopathology thyroid nodules
Author:
Publisher
Springer Science and Business Media LLC
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Link
http://link.springer.com/content/pdf/10.1007/s40618-020-01200-0.pdf
Reference35 articles.
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2. Kwak JY, Han KH, Yoon JH, Moon HJ, Son EJ, Park SH, Jung HK, Choi JS, Kim BM, Kim EK (2011) Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology 260(3):892–899. https://doi.org/10.1148/radiol.11110206
3. Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, Pacini F, Randolph GW, Sawka AM, Schlumberger M, Schuff KG, Sherman SI, Sosa JA, Steward DL, Tuttle RM, Wartofsky L (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. https://doi.org/10.1089/thy.2015.0020
4. Rullo E, Minelli G, Bosco D, Nardi F, Ascoli V (2018) Evaluation of the Italian cytological subclassification of thyroid indeterminate nodules into TIR-3A and TIR-3B: a retrospective study of 290 cases with histological correlation from a single institution. J Endocrinol Invest 41(5):531–538. https://doi.org/10.1007/s40618-017-0763-2
5. Trimboli P, Crescenzi A, Giovanella L (2018) Performance of Italian Consensus for the Classification and Reporting of Thyroid Cytology (ICCRTC) in discriminating indeterminate lesions at low and high risk of malignancy. A systematic review and meta-analysis. Endocrine 60(1):31–35. https://doi.org/10.1007/s12020-017-1382-6
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