|
Role of ultrasonic Chinese-thyroid imaging reporting and data system classification in interpretating malignant thyroid nodules by different observers
|
J. Li   , J. Wang , J. Qiao , X. Zheng , X. Lu |
| Department of Ultrasound, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, Jiangsu Province, China , 281933813@qq.com |
|
|
Abstract: (720 Views) |
Background: Malignant thyroid nodules are defined as malignancies in the thyroid gland, and usually refer to thyroid cancer. We aimed to retrospectively assess the differences in ultrasonic description and Chinese-Thyroid Imaging Reporting and Data System (C-TIRADS) classification in the interpretation of malignant thyroid nodules by observers (with different years of experience). Materials and Methods: A total of 119 patients with thyroid nodules (119 nodules, all with postoperative pathological results) treated from January 2020 to January 2023 were selected and subjected to color Doppler ultrasonography. According to the experience of observers (n=4) in thyroid ultrasonography, the subjects were divided into Group A, B, C and D (years of experience: ≤2 years, 3-5 years, 6-10 years, and >10 years). Then the acquired ultrasound images were assessed and classified. Results: The ultrasound signs of C-TIRADS classification in patients with malignant thyroid nodules, such as degree of enhancement, uniformity of enhancement, mode of enhancement, circular enhancement and mode of washout, were significantly different from those of the subjects with benign thyroid nodules (P<0.05). In Groups A, B, C, and D, the areas under the curves were 0.734, 0.776, 0.823 and 0.885, and the Youden indexes were 0.339, 0.562, 0.630 and 0.835, respectively. The interobserver agreement in the determination of C-TIRADS 4/5/6 of malignant thyroid nodules and the overall agreement were both good (Kappa=0.735, 0.627, 0.651, and 0.765). Conclusion: The overall interobserver agreement in the selection of C-TIRADS ultrasound descriptors is good. |
|
| Keywords: Classification, Doppler ultrasonography, color, malignancy, observation, thyroid gland. |
|
|
Full-Text [PDF 835 kb]
(224 Downloads)
|
|
Type of Study: Original Research |
Subject:
Radiation Biology
|
|
|
|
|
|
|
| References |
1. Horvath E, Majlis S, Rossi R, et al. (2009) An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab, 94(5): 1748-1751. [ DOI:10.1210/jc.2008-1724] 2. 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 cancer risk. Radiology, 260(3): 892-899. [ DOI:10.1148/radiol.11110206] 3. Russ G, Bonnema SJ, Erdogan MF, et al. (2017) European Thyroid Association guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: the EU-TIADS. Eur Thyroid J, 6(5):225-237. [ DOI:10.1159/000478927] 4. 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(5): 587-595. [ DOI:10.1016/j.jacr.2017.01.046] 5. Sharbidre KG, Lockhart ME, Tessler FN (2021) Incidental thyroid nodules on imaging: relevance and management. Radiol Clin North Am, 59(4): 525-533. [ DOI:10.1016/j.rcl.2021.03.004] 6. Gulati R, Katoch N, Dudani S (2021) A cross-sectional study of prevalence of prostate lesions and inter-observer variability in histopathological reporting. Men's Health J, 100(14): 1072-1076. 7. Zhou J, Yin L, Wei X, et al. (2020) 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS. Endocrine, 70(2): 256-279. 8. Xu Y, Qi X, Zhao X, et al. (2019) Clinical diagnostic value of contrast-enhanced ultrasound and TI-RADS classification for benign and malignant thyroid tumors: one comparative cohort study. Medicine (Baltimore), 98(4): e14051. [ DOI:10.1097/MD.0000000000014051] 9. Li X, Gao F, Li F, et al. (2020) Qualitative analysis of contrast-enhanced ultrasound in the diagnosis of small, TR3-5 benign and malignant thyroid nodules measuring ≤1 cm. Br J Radiol, 93(1111): 20190923. [ DOI:10.1259/bjr.20190923] 10. Wan Q, Cao P, Liu J (2021) Meta-analysis of contrast enhanced ultrasound in judging benign and malignant thyroid tumors. Comput Math Methods Med, 2021(1): 2577113. [ DOI:10.1155/2021/2577113] 11. Martins JG, Kawakita T, Gurganus M, et al. (2021) The influence of maternal body mass index on interobserver variability of fetal ultrasound biometry and amniotic fluid assessment in late pregnancy. Ultrasound Obstet Gynecol, 42(11): 2674-2680. 12. Abdullah M, Husain A, Elsayed E, et al. (2021) The reliability of ultrasound diagnosis in differentiating malignant from benign thyroid nodules using TI-RADS selection followed by FNA. Open J Radiol, 11(3): 115-125. [ DOI:10.4236/ojrad.2021.113011] 13. Azour L, Moore WH, O'Donnell T, et al. (2022) Inter-reader variability of volumetric subsolid pulmonary nodule radiomic features. Acad Radiol, 29(2): S98-S107. [ DOI:10.1016/j.acra.2021.01.026] 14. Xiuming L and Fuxing L (2024) Study on the effectiveness and accuracy of ultrasound diagnosis and pathological diagnosis of thyroid lesions. Int J Radiat Res, 22(3): 727-732. [ DOI:10.61186/ijrr.22.3.727] 15. Niu J, Chen H, Peng J, Yuan H (2023) A systematic review and meta-analysis of clinical trials of thyroids hormone using ultrasound-based datasets. Int J Radiat Res, 21(3): 577-584. [ DOI:10.61186/ijrr.21.3.585] 16. Fan X, Zheng K, Chen W, et al. (2023) 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, 21(4): 815-820. [ DOI:10.61186/ijrr.21.4.815] 17. Zhai J and Li J (2025) Application value of multimodal ultrasound in differential diagnosis of thyroid nodules. Int J Radiat Res, 23(2): 357-364. [ DOI:10.61186/ijrr.23.2.14] 18. Portnow LH, Georgian-Smith D, Haider I, et al. (2022) Persistent inter-observer variability of breast density assessment using BI-RADS® 5th edition guidelines. Clin Imaging, 83(6): 21-27. [ DOI:10.1016/j.clinimag.2021.11.034] 19. Chaichana KL, Halthore AN, Parker SL, et al. (2011) Factors involved in maintaining prolonged functional independence following supratentorial glioblastoma resection. J Neurosurg, 114(3): 604-612. [ DOI:10.3171/2010.4.JNS091340] 20. Chen Y and Zhou Q (2024) Predicting the nature of thyroid nodules by nomogram modeling: A study of health checkup data in a Chinese region. Int J Radiat Res, 22(4): 933-940. [ DOI:10.61186/ijrr.22.4.933] 21. Yuan Z, Quan J, Yunxiao Z, et al. (2015) Contrast-enhanced ultrasound in the diagnosis of solitary thyroid nodules. J Cancer Res Ther, 11(1): 41-45. [ DOI:10.4103/0973-1482.147382] 22. Wang Y, Nie F, Liu T, et al. (2018) Revised value of contrast-enhanced ultrasound for solid hypo-echoic thyroid nodules graded with the thyroid imaging reporting and data system. Ultrasound Med Biol, 44(5): 930-940. [ DOI:10.1016/j.ultrasmedbio.2017.12.018] 23. Sorrenti S, Dolcetti V, Fresilli D, et al. (2021) The role of CEUS in the evaluation of thyroid cancer: from diagnosis to local staging. J Clin Med, 10(19): 4559. [ DOI:10.3390/jcm10194559] 24. Radzina M, Ratniece M, Putrins DS, et al. (2021) Performance of contrast-enhanced ultrasound in thyroid nodules: review of current state and future perspectives. Cancers (Basel), 13(21): 5469-5481. [ DOI:10.3390/cancers13215469] |
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
|
Li J, Wang J, Qiao J, Zheng X, Lu X. Role of ultrasonic Chinese-thyroid imaging reporting and data system classification in interpretating malignant thyroid nodules by different observers. Int J Radiat Res 2026; 24 (2) :411-416 URL: http://ijrr.com/article-1-7020-en.html
|
