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For: Sorrenti S, Dolcetti V, Radzina M, Bellini MI, Frezza F, Munir K, Grani G, Durante C, D'Andrea V, David E, Calò PG, Lori E, Cantisani V. Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing? Cancers (Basel) 2022;14:3357. [PMID: 35884418 DOI: 10.3390/cancers14143357] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Cai M, Chen L, Shui L, Lv X, Wang H. Explore the diagnostic performance of 2020 Chinese Thyroid Imaging Reporting and Data Systems by comparing with the 2017 ACR-TIRADS guidelines: a single-center study. Endocrine 2023. [PMID: 36930437 DOI: 10.1007/s12020-023-03304-y] [Reference Citation Analysis]
2 Liu L, Jia C, Li G, Shi Q, Du L, Wu R. Nomogram incorporating preoperative clinical and ultrasound indicators to predict aggressiveness of solitary papillary thyroid carcinoma. Front Oncol 2023;13:1009958. [PMID: 36798828 DOI: 10.3389/fonc.2023.1009958] [Reference Citation Analysis]
3 Triggiani V, Lisco G, Renzulli G, Frasoldati A, Guglielmi R, Garber J, Papini E. The TNAPP web-based algorithm improves thyroid nodule management in clinical practice: A retrospective validation study. Front Endocrinol (Lausanne) 2022;13:1080159. [PMID: 36778596 DOI: 10.3389/fendo.2022.1080159] [Reference Citation Analysis]
4 Ludwig M, Ludwig B, Mikuła A, Biernat S, Rudnicki J, Kaliszewski K. The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update. Cancers (Basel) 2023;15. [PMID: 36765671 DOI: 10.3390/cancers15030708] [Reference Citation Analysis]
5 Zhao Y, Shi W, Dong F, Wang X, Lu C, Liu C. Risk prediction for central lymph node metastasis in isolated isthmic papillary thyroid carcinoma by nomogram: A retrospective study from 2010 to 2021. Front Endocrinol (Lausanne) 2022;13:1098204. [PMID: 36733797 DOI: 10.3389/fendo.2022.1098204] [Reference Citation Analysis]
6 Yang L, Lin N, Wang M, Chen G. Diagnostic efficiency of existing guidelines and the AI-SONIC™ artificial intelligence for ultrasound-based risk assessment of thyroid nodules. Front Endocrinol (Lausanne) 2023;14:1116550. [PMID: 36875473 DOI: 10.3389/fendo.2023.1116550] [Reference Citation Analysis]
7 Gao X, Ran X, Ding W. The progress of radiomics in thyroid nodules. Front Oncol 2023;13:1109319. [PMID: 36959790 DOI: 10.3389/fonc.2023.1109319] [Reference Citation Analysis]
8 王 鑫. Advances in the Application of C-TIRADS in Thyroid Nodules. ACM 2023;13:1441-1446. [DOI: 10.12677/acm.2023.132199] [Reference Citation Analysis]
9 Mao L, Zheng C, Ou S, He Y, Liao C, Deng G. Influence of Hashimoto thyroiditis on diagnosis and treatment of thyroid nodules. Front Endocrinol (Lausanne) 2022;13:1067390. [PMID: 36619577 DOI: 10.3389/fendo.2022.1067390] [Reference Citation Analysis]
10 Yu J, Zhang Y, Zheng J, Jia M, Lu X. Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of RET rearrangement in papillary thyroid carcinoma. Front Endocrinol (Lausanne) 2022;13:1062571. [PMID: 36605945 DOI: 10.3389/fendo.2022.1062571] [Reference Citation Analysis]
11 Scerrino G, Richiusa P, Graceffa G, Lori E, Sorrenti S, Paladino NC. Editorial: Recent Advances in Thyroid Surgery. J Clin Med 2022;11. [PMID: 36498807 DOI: 10.3390/jcm11237233] [Reference Citation Analysis]
12 Taccogna S, Papini E, Novizio R, D'Angelo M, Turrini L, Persichetti A, Pontecorvi A, Guglielmi R. An innovative synthetic support for immunocytochemical assessment of cytologically indeterminate (Bethesda III) thyroid nodules. Front Endocrinol (Lausanne) 2022;13:1078019. [PMID: 36531453 DOI: 10.3389/fendo.2022.1078019] [Reference Citation Analysis]
13 Wen Q, Wang Z, Traverso A, Liu Y, Xu R, Feng Y, Qian L. A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma. Front Endocrinol (Lausanne) 2022;13:1064434. [PMID: 36531493 DOI: 10.3389/fendo.2022.1064434] [Reference Citation Analysis]
14 Coche E. Current Practice and New Insights in Thyroid Ultrasound. Journal of the Belgian Society of Radiology 2022;106. [DOI: 10.5334/jbsr.2950] [Reference Citation Analysis]
15 Tao Y, Yu Y, Wu T, Xu X, Dai Q, Kong H, Zhang L, Yu W, Leng X, Qiu W, Tian J. Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images. Front Oncol 2022;12. [DOI: 10.3389/fonc.2022.1012724] [Reference Citation Analysis]
16 Zhang Y, Mei F, He X, Ma J, Wang S. Reconceptualize tall-cell variant papillary thyroid microcarcinoma: From a “sonographic histology” perspective. Front Endocrinol 2022;13. [DOI: 10.3389/fendo.2022.1001477] [Reference Citation Analysis]
17 Zhang G, Yu J, Lei Y, Hu J, Hu H, Harput S, Guo Z, Cui X, Ye H. Ultrasound super-resolution imaging for the differential diagnosis of thyroid nodules: A pilot study. Front Oncol 2022;12. [DOI: 10.3389/fonc.2022.978164] [Reference Citation Analysis]
18 Yang J, Sun Y, Li X, Zhao Y, Han X, Chen G, Ding W, Li R, Wang J, Xiao F, Liu C, Xu S. Diagnostic performance of six ultrasound-based risk stratification systems in thyroid follicular neoplasm: A retrospective multi-center study. Front Oncol 2022;12:1013410. [DOI: 10.3389/fonc.2022.1013410] [Reference Citation Analysis]
19 Lin Y, Shi Y, Tang X, Ding M, He Y, Li P, Zhai B. Significance of radiofrequency ablation in large solid benign thyroid nodules. Front Endocrinol 2022;13:902484. [DOI: 10.3389/fendo.2022.902484] [Reference Citation Analysis]
20 Lai S, Fan Y, Zhu Y, Zhang F, Guo Z, Wang B, Wan Z, Liu P, Yu N, Qin H. Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer. Front Endocrinol 2022;13:1019037. [DOI: 10.3389/fendo.2022.1019037] [Reference Citation Analysis]
21 Wang B, Wan Z, Li C, Zhang M, Shi Y, Miao X, Jian Y, Luo Y, Yao J, Tian W. Identification of benign and malignant thyroid nodules based on dynamic AI ultrasound intelligent auxiliary diagnosis system. Front Endocrinol 2022;13:1018321. [DOI: 10.3389/fendo.2022.1018321] [Reference Citation Analysis]
22 Bellini MI, Lori E, Forte F, Lauro A, Tripodi D, Amabile MI, Cantisani V, Varanese M, Ferent IC, Baldini E, Ulisse S, D’andrea V, Pironi D, Sorrenti S. Thyroid and renal cancers: A bidirectional association. Front Oncol 2022;12:951976. [DOI: 10.3389/fonc.2022.951976] [Reference Citation Analysis]