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:: Volume 21, Issue 4 (10-2023) ::
Int J Radiat Res 2023, 21(4): 815-820 Back to browse issues page
Ultrasonography features and American college of radiology thyroid imaging reporting and data system category in the prediction of central lymph node metastasis in papillary thyroid carcinoma
X. Fan , K. Zheng , W. Chen , L. Zhan , J. Gu , B. Yang
Department of Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal , gujundoctor@163.com
Abstract:   (1095 Views)
Background: The assessment of central lymph node metastasis before operation guides the surgical plan for patients with papillary thyroid carcinoma (PTC). The aim of this study was to investigate the predictive value of the ultrasonography (US) features and American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) category in central lymph node metastasis in papillary thyroid carcinoma patients. Materials and Methods: The retrospective study of 346 papillary thyroid carcinoma patients who received diagnosis and treatment at the authors’ institution from May 2016 to December 2021 was performed. The tumors were categorized based on the US features as well as the Kwak-TIRADS or ACR-TIRADS respectively. Correlation between US features and cervical lymph node metastasis (CLNM), as well as the effects of different TI-RADS categories on the prediction of CLNM were evaluated. Results: A total of 164 PTC patients (47.4%) were identified with CLNM. In univariable analysis, age (P<0.001), maximum diameter (P<0.001), clinging to the capsule (P<0.001), shape (P=0.003), and ACR-TIRADS score (P<0.001) exhibited significant association with cervical lymph node metastasis in PTC patients. In multivariable analysis, age, maximum diameter, taller-than-wide shape, and clinging to the capsule were the independent factors for CLNM (P<0.05). ACR-TIRADS score was also the independent factor for CLNM (OR=1.230, 95%CI 1.016-1.488, P=0.033). Conclusions: The study indicated that preoperative ultrasonography features and the ACR-TIRADS category based thereon are effective to evaluate the CLNM risk and of diagnostic value for PTC patients.
Keywords: Radioactivity, radionuclides, groundwater, norm, radiological risk, hazard.
Full-Text [PDF 688 kb]   (639 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
References
1. Gao M, Ge M, Ji Q, et al. (2016) Chinese expert consensus and guidelines for the diagnosis and treatment of papillary thyroid microcarcinoma. Carcinoma Biol Med, 2017(14): 203-211. [DOI:10.20892/j.issn.2095-3941.2017.0051] [PMID] []
2. Haugen BR, Alexander EK, Bible KC, et al. (2015) American thyroid association management guidelines for adult patients with thyroid nodules and differentiated thyroid carcinoma: The American thyroid association guidelines task force on thyroid nodules and differentiated thyroid carcinoma. Thyroid, 2016(26): 1-133. [DOI:10.1089/thy.2015.0020] [PMID] []
3. Kang SY, Ahn HR, Youn HJ, Jung SH (2021) Prognosis of papillary thyroid carcinoma in relation to preoperative subclinical hypothyroidism. Ann R Coll Surg Engl, 103: 367-373. [DOI:10.1308/rcsann.2020.7064] [PMID] []
4. Roman BR, Morris LG, Davies L (2017) The thyroid carcinoma epidemic, 2017 perspective. Curr Opin Endocrinol Diabetes Obes, 24: 332-336. [DOI:10.1097/MED.0000000000000359] [PMID] []
5. Feng J, Gan X, Shen F, (2018) The role of two tumor foci for predicting central lymph node metastasis in papillary thyroid carcinoma: A meta-analysis. Int J Surg, 52:166-70. [DOI:10.1016/j.ijsu.2018.02.029] [PMID]
6. Yu J, Deng Y, Liu T, et al. (2020) Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics. Nat Commun, 11(1): 4807. [DOI:10.1038/s41467-020-18497-3] [PMID] []
7. Seok J, Ryu CH, Park SY, et al. (2021) Factors Affecting Central Node Metastasis and Metastatic Lymph Node Ratio in Papillary Thyroid Cancer. Otolaryngol Head Neck Surg, 165: 519-527. [DOI:10.1177/0194599821991465] [PMID]
8. Wang ZH, Zhang YJ, Fu GM, Chen YB (2019) Analysis of risk factors for central lymph node metastasis in papillary thyroid microcarcinoma. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 54: 12-17.
9. Mao S, Zhao LP, Li XH, et al. (2021) The diagnostic performance of 2020 Chinese Ultrasound Thyroid Imaging Reporting and Data System in thyroid nodules. Zhonghua Yi Xue Za Zhi, 101: 3748-3753.
10. Lee YB, Oh YL, Shin JH, et al. (2021) Comparison of four ultrasonography-based risk stratification systems in thyroid nodules with nondiagnostic/unsatisfactory cytology: A real-world study. Carcinomas (Basel), 13: 1948. [DOI:10.3390/cancers13081948] [PMID] []
11. Tao L, Zhou W, Zhan W, et al. (2020) Preoperative prediction of cervical lymph node metastasis in papillary thyroid carcinoma via conventional and contrast-enhanced ultrasound. J Ultrasound Med, 39: 2071-2080. [DOI:10.1002/jum.15315] [PMID]
12. Suman P, Wang CH, Abadin SS, et al. (2016) Risk factors for central lymph node metastasis in papillary thyroid carcinoma: A National Carcinoma Data Base (NCDB) study. Surgery, 159: 31-39. [DOI:10.1016/j.surg.2015.08.032] [PMID]
13. Huh S, Yoon JH, Lee HS, et al. (2021) Comparison of diagnostic performance of the ACR and Kwak TIRADS applying the ACR TIRADS' size thresholds for FNA. Eur Radiol, 31: 5243-5250. [DOI:10.1007/s00330-020-07591-1] [PMID]
14. Richman DM, Benson CB, Doubilet PM, et al. (2020) Assessment of American college of radiology thyroid imaging reporting and data system (TI-RADS) for pediatric thyroid nodules. Radiology, 294: 415-420. [DOI:10.1148/radiol.2019191326] [PMID]
15. Leni D, Seminati D, Fior D, et al. (2021) Diagnostic performances of the ACR-TIRADS system in thyroid nodules triage: A prospective single center study. Cancers (Basel), 13(9): 2230. [DOI:10.3390/cancers13092230] [PMID] []
16. Gao L, Xi X, Jiang Y, et al. (2019) Comparison among TIRADS (ACR TI-RADS and KWAK- TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules. Endocrine, 64(1): 90-6. [DOI:10.1007/s12020-019-01843-x] [PMID]
17. Kwak JY, Han KH, Yoon JH, et al. (2011) Thyroid imaging reporting and data system for US features of nodules: A step in establishing better stratification of carcinoma risk. Radiology, 260: 892-899. [DOI:10.1148/radiol.11110206] [PMID]
18. 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: 587-595. [DOI:10.1016/j.jacr.2017.01.046] [PMID]
19. Cabanillas ME, McFadden DG, Durante C (2016) Thyroid carcinoma. Lancet, 388: 2783-2795. [DOI:10.1016/S0140-6736(16)30172-6] [PMID]
20. Callender GG, Carling T, Christison-Lagay E, Udelsman R (2014) Surgery for thyroid carcinoma. Endocrinol Metab Clin North Am, 43: 443-458. [DOI:10.1016/j.ecl.2014.02.011] [PMID]
21. Genpeng L, Jianyong L, Jiaying Y, et al. (2018) Independent predictors and lymph node metastasis characteristics of multifocal papillary thyroid carcinoma. Medicine (Baltimore), 97: e9619. [DOI:10.1097/MD.0000000000009619] [PMID] []
22. Sturgeon C, Yang A, Elaraj D (2016) Surgical Management of Lymph Node Compartments in Papillary Thyroid Carcinoma. Surg Oncol Clin N Am, 25: 17-40. [DOI:10.1016/j.soc.2015.08.013] [PMID]
23. Hu M, Xia C, Zhou Y, et al. (2021) Ultrasound surveillance of abnormal cervical lymph nodes in patients with papillary thyroid carcinoma after surgery. J Ultrasound Med, 40: 29-37. [DOI:10.1002/jum.15369] [PMID]
24. Shaha AR (2019) Central lymph node metastasis in papillary thyroid carcinoma. World J Surg, 42: 630-631. [DOI:10.1007/s00268-017-4459-8] [PMID]
25. Liu C, Xiao C, Chen J, et al. (2019) Risk factor analysis for predicting cervical lymph node metastasis in papillary thyroid carcinoma: a study of 966 patients. BMC Carcinoma, 19: 622. [DOI:10.1186/s12885-019-5835-6] [PMID] []
26. So YK, Kim MJ, Kim S, Son YI (2018) Lateral lymph node metastasis in papillary thyroid carcinoma: A systematic review and meta-analysis for prevalence, risk factors, and location. Int J Surg, 50: 94-103. [DOI:10.1016/j.ijsu.2017.12.029] [PMID]
27. Guang Y, He W, Zhang W, et al. (2021) Clinical study of ultrasonographic risk factors for central lymph node metastasis of papillary thyroid carcinoma. Front Endocrinol (Lausanne), 30: 791970. [DOI:10.3389/fendo.2021.791970] [PMID] []
28. Chen K, Lv G, Shen H, et al. (2021) Establishment of a predictive model for central central lymph node metastasis of papillary thyroid carcinoma based on ACR TI-RADS score and evaluation of its diagnostic efficacy. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 35: 773-778.
29. Kang SY, Ahn HR, Youn HJ, Jung SH (2021) Prognosis of papillary thyroid carcinoma in relation to preoperative subclinical hypothyroidism. Ann R Coll Surg Engl, 103: 367-373. [DOI:10.1308/rcsann.2020.7064] [PMID] []
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Fan X, Zheng K, Chen W, Zhan L, Gu J, Yang B. Ultrasonography features and American college of radiology thyroid imaging reporting and data system category in the prediction of central lymph node metastasis in papillary thyroid carcinoma. Int J Radiat Res 2023; 21 (4) :815-820
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Volume 21, Issue 4 (10-2023) Back to browse issues page
International Journal of Radiation Research
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