Predicting malignancy in thyroid nodules based on conventional ultrasound and elastography: the value of predictive models in a multi-center study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Link
https://link.springer.com/content/pdf/10.1007/s12020-022-03271-w.pdf
Reference26 articles.
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3. H.M. Park, J.H. Lee, J.Y. Kwak, V.Y. Park, M. Rho, M. Lee et al. Using ultrasonographic features to predict the outcomes of patients with small papillary thyroid carcinomas: a retrospective study implementing the 2015 ATA patterns and ACR TI-RADS categories. Ultrasonography 41, 298–306 (2022). https://doi.org/10.14366/usg.21097
4. L. Modi, W. Sun, N. Shafizadeh, R. Negron, M. Yee-Chang, F. Zhou et al. Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI-RADS with FNA cytology in the evaluation of thyroid nodules. Cancer Cytopathol. 128, 470–481 (2022). https://doi.org/10.1002/cncy.22254
5. E. Horvath, S. Majlis, R. Rossi, C. Franco, J.P. Niedmann, A. Castro et al. 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
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