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Sunyoung Kang  (Kang S) 3 Articles
Thyroid
Diagnostic Accuracy of Preoperative Radiologic Findings in Papillary Thyroid Microcarcinoma: Discrepancies with the Postoperative Pathologic Diagnosis and Implications for Clinical Outcomes
Ying Li, Seul Ki Kwon, Hoonsung Choi, Yoo Hyung Kim, Sunyoung Kang, Kyeong Cheon Jung, Jae-Kyung Won, Do Joon Park, Young Joo Park, Sun Wook Cho
Endocrinol Metab. 2024;39(3):450-460.   Published online May 27, 2024
DOI: https://doi.org/10.3803/EnM.2023.1872
  • 1,513 View
  • 57 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The diagnostic accuracy of preoperative radiologic findings in predicting the tumor characteristics and clinical outcomes of papillary thyroid microcarcinoma (PTMC) was evaluated across all risk groups.
Methods
In total, 939 PTMC patients, comprising both low-risk and non-low-risk groups, who underwent surgery were enrolled. The preoperative tumor size and lymph node metastasis (LNM) were evaluated by ultrasonography within 6 months before surgery and compared with the postoperative pathologic findings. Discrepancies between the preoperative and postoperative tumor sizes were analyzed, and clinical outcomes were assessed.
Results
The agreement rate between radiological and pathological tumor size was approximately 60%. Significant discrepancies were noted, including an increase in tumor size in 24.3% of cases. Notably, in 10.8% of patients, the postoperative tumor size exceeded 1 cm, despite being initially classified as 0.5 to 1.0 cm based on preoperative imaging. A postoperative tumor size >1 cm was associated with aggressive pathologic factors such as multiplicity, microscopic extrathyroidal extension, and LNM, as well as a higher risk of distant metastasis. In 30.1% of patients, LNM was diagnosed after surgery despite not being suspected before the procedure. This group was characterized by smaller metastatic foci and lower risks of distant metastasis or recurrence than patients with LNM detected both before and after surgery.
Conclusion
Among all risk groups of PTMCs, a subset showed an increase in tumor size, reaching 1 cm after surgery. These cases require special consideration due to their association with adverse clinical outcomes, including an elevated risk of distant metastasis.
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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
  • 4,753 View
  • 138 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   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; 47(6): 2574.     CrossRef
  • Correlation between Ultrasound TI-RADS and Bethesda FNAC Scoring in Thyroid Lesions: A Retrospective Analysis
    Smriti Mathur, Amit Chail, Amit K. Das, Seerat Pal, Ranjit S. Lahel
    Medical Journal of Dr. D.Y. Patil Vidyapeeth.2024; 17(3): 533.     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
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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
  • 3,139 View
  • 46 Download
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