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Original Article
- Thyroid
- Comparison of Korean vs. American Thyroid Imaging Reporting and Data System in Malignancy Risk Assessment of Indeterminate Thyroid Nodules
- Sunyoung Kang, Seul Ki Kwon, Hoon Sung Choi, Min Joo Kim, Young Joo Park, Do Joon Park, Sun Wook Cho
- Endocrinol Metab. 2021;36(5):1111-1120. Published online October 21, 2021
- DOI: https://doi.org/10.3803/EnM.2021.1208
- 4,001 View
- 127 Download
- 8 Web of Science
- 8 Crossref
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Abstract
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Supplementary Material
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ePub - Background
The management of cytologically indeterminate thyroid nodules is challenging for clinicians. This study aimed to compare the diagnostic performance of the Korean Thyroid Imaging Reporting and Data Systems (K-TIRADS) with that of the American College of Radiology (ACR)-TIRADS for predicting the malignancy risk of indeterminate thyroid nodules.
Methods
Thyroid nodules diagnosed by fine-needle aspiration (FNA) followed by surgery or core needle biopsy at a single referral hospital were enrolled.
Results
Among 200 thyroid nodules, 78 (39.0%) nodules were classified as indeterminate by FNA (Bethesda category III, IV, and V), and 114 (57.0%) nodules were finally diagnosed as malignancy by surgery or core needle biopsy. The area under the curve (AUC) was higher for FNA than for either TIRADS system in all nodules, while all three methods showed similar AUCs for indeterminate nodules. However, for Bethesda category III nodules, applying K-TIRADS 5 significantly increased the risk of malignancy compared to a cytological examination alone (50.0% vs. 26.5%, P=0.028), whereas applying ACR-TIRADS did not lead to a change.
Conclusion
K-TIRADS and ACR-TIRADS showed similar diagnostic performance in assessing indeterminate thyroid nodules, and K-TIRADS had beneficial effects for malignancy prediction in Bethesda category III nodules. -
Citations
Citations to this article as recorded by
- Is the nodule location a predictive risk factor for cancer in AUS/FLUS thyroid nodules? A retrospective cohort study
Saad M. Alqahtani, Bassam A. Altalhi, Yousef S. Alalawi, Saif S. Al-Sobhi
Asian Journal of Surgery.2024;[Epub] CrossRef - Diagnostic Performance of Various Ultrasound Risk Stratification Systems for Benign and Malignant Thyroid Nodules: A Meta-Analysis
Ji-Sun Kim, Byung Guk Kim, Gulnaz Stybayeva, Se Hwan Hwang
Cancers.2023; 15(2): 424. CrossRef - The impact of thyroid imaging reporting and data system on the management of Bethesda III thyroid nodules
Saad M. Alqahtani, Saif S. Al-Sobhi, Mohammed A. Alturiqy, Riyadh I. Alsalloum, Hindi N. Al-Hindi
Journal of Taibah University Medical Sciences.2023; 18(3): 506. CrossRef - Diagnostic Performance of Six Ultrasound Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Network Meta-Analysis
Do Hyun Kim, Sung Won Kim, Mohammed Abdullah Basurrah, Jueun Lee, Se Hwan Hwang
American Journal of Roentgenology.2023; 220(6): 791. CrossRef - Diagnostic efficiency among Eu-/C-/ACR-TIRADS and S-Detect for thyroid nodules: a systematic review and network meta-analysis
Longtao Yang, Cong Li, Zhe Chen, Shaqi He, Zhiyuan Wang, Jun Liu
Frontiers in Endocrinology.2023;[Epub] CrossRef - Comparison of diagnostic performance of two ultrasound risk stratification systems for thyroid nodules: a systematic review and meta-analysis
Yun Jin Kang, Hee Sun Ahn, Gulnaz Stybayeva, Ju Eun Lee, Se Hwan Hwang
La radiologia medica.2023; 128(11): 1407. CrossRef - Diagnostic Performance of ACR and Kwak TI-RADS for Benign and Malignant Thyroid Nodules: An Update Systematic Review and Meta-Analysis
Yun Jin Kang, Gulnaz Stybayeya, Ju Eun Lee, Se Hwan Hwang
Cancers.2022; 14(23): 5961. CrossRef - Comparison of Thyroid Imaging Reporting and Data Systems in Malignancy Risk Stratification of Indeterminate Thyroid Nodules
Bo Hyun Kim
Endocrinology and Metabolism.2021; 36(5): 974. CrossRef
- Is the nodule location a predictive risk factor for cancer in AUS/FLUS thyroid nodules? A retrospective cohort study
Letter
- Adrenal gland
- An Ectopic Cortisol-Producing Adrenocortical Adenoma Masquerading as a Liposarcoma in the Pararenal Space
- Sunyoung Kang, Seung Shin Park, Jae Hyun Bae, Kyu Eun Lee, Jung Hee Kim, Chan Soo Shin
- Endocrinol Metab. 2018;33(3):423-424. Published online August 14, 2018
- DOI: https://doi.org/10.3803/EnM.2018.33.3.423
- 2,838 View
- 43 Download
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