Cited In for PMID: 36106704

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Proportion of Malignancy and Evaluation of Sonographic Features of Thyroid Nodules Classified as Highly Suspicious Using ACR TI-RADS Criteria.

Hussain N, Goldstein MB, Zakher M, Katz DS, Brandler TC, Islam S, Rothberger GD. Hussain N, et al. J Ultrasound Med. 2023 Feb;42(2):443-451. doi: 10.1002/jum.16099. Epub 2022 Sep 15. J Ultrasound Med. 2023. PMID: 36106704

Diagnostic efficacy of the contrast-enhanced ultrasound thyroid imaging reporting and data system classification for benign and malignant thyroid nodules.

Yang YP, Zhang GL, Zhou HL, Dai HX, Huang X, Liu LJ, Xie J, Wang JX, Li HJ, Liang X, Yuan Q, Zeng YH, Xu XH. Yang YP, et al. Quant Imaging Med Surg. 2024 Aug 1;14(8):5721-5736. doi: 10.21037/qims-24-457. Epub 2024 Jul 30. Quant Imaging Med Surg. 2024. PMID: 39144013 Free PMC article.

A machine learning-based sonomics for prediction of thyroid nodule malignancies.

Arabi M, Nazari M, Salahshour A, Jenabi E, Hajianfar G, Khateri M, Shayesteh SP. Arabi M, et al. Endocrine. 2023 Nov;82(2):326-334. doi: 10.1007/s12020-023-03407-6. Epub 2023 Jun 9. Endocrine. 2023. PMID: 37291392

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Cited In for PMID: 36106704

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