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2 "Jeong Soo Kim"
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Thyroid
Thyroid Cancer Screening
Cost-Utility Analysis of Early Detection with Ultrasonography of Differentiated Thyroid Cancer: A Retrospective Study on a Korean Population
Han-Sang Baek, Jeonghoon Ha, Kwangsoon Kim, Ja Seong Bae, Jeong Soo Kim, Sungju Kim, Dong-Jun Lim, Chul-Min Kim
Endocrinol Metab. 2024;39(2):310-323.   Published online April 9, 2024
DOI: https://doi.org/10.3803/EnM.2023.1870
  • 1,038 View
  • 14 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There is debate about ultrasonography screening for thyroid cancer and its cost-effectiveness. This study aimed to evaluate the cost-effectiveness of early screening (ES) versus symptomatic detection (SD) for differentiated thyroid cancer (DTC) in Korea.
Methods
A Markov decision analysis model was constructed to compare the cost-effectiveness of ES and SD. The model considered direct medical costs, health outcomes, and different diagnostic and treatment pathways. Input data were derived from literature and Korean population studies. Incremental cost-effectiveness ratio (ICER) was calculated. Willingness-to-pay (WTP) threshold was set at USD 100,000 or 20,000 per quality-adjusted life year (QALY) gained. Sensitivity analyses were conducted to address uncertainties of the model’s variables.
Results
In a base case scenario with 50 years of follow-up, ES was found to be cost-effective compared to SD, with an ICER of $2,852 per QALY. With WTP set at $100,000, in the case with follow-up less than 10 years, the SD was cost-effective. Sensitivity analysis showed that variables such as lobectomy probability, age, mortality, and utility scores significantly influenced the ICER. Despite variations in costs and other factors, all ICER values remained below the WTP threshold.
Conclusion
Findings of this study indicate that ES is a cost-effective strategy for DTC screening in the Korean medical system. Early detection and subsequent lobectomy contribute to the cost-effectiveness of ES, while SD at an advanced stage makes ES more cost-effective. Expected follow-up duration should be considered to determine an optimal strategy for DTC screening.
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Thyroid
Diagnostic Performance of Thyroid Core Needle Biopsy Using the Revised Reporting System: Comparison with Fine Needle Aspiration Cytology
Kwangsoon Kim, Ja Seong Bae, Jeong Soo Kim, So Lyung Jung, Chan Kwon Jung
Endocrinol Metab. 2022;37(1):159-169.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1299
  • 3,931 View
  • 165 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We aim to validate the diagnostic performance of thyroid core needle biopsy (CNB) for diagnosing malignancy in clinical settings to align with the changes made in recently updated thyroid CNB guidelines.
Methods
We retrospectively analyzed 1,381 thyroid CNB and 2,223 fine needle aspiration (FNA) samples. The FNA and CNB slides were interpreted according to the Bethesda System for Reporting Thyroid Cytopathology and updated practice guidelines for thyroid CNB, respectively.
Results
Compared to FNA, CNB showed lower rates of inconclusive results: categories I (2.8% vs. 11.2%) and III (1.2% vs. 6.2%), and higher rates of categories II (60.9% vs. 50.4%) and IV (17.5% vs. 2.0%). The upper and lower bounds of the risk of malignancy (ROM) for category IV of CNB were 43.2% and 26.6%, respectively. The CNB subcategory IVb with nuclear atypia had a higher ROM than the subcategory without nuclear atypia (40%–62% vs. 23%–36%). In histologically confirmed cases, there was no significant difference in the diagnostic performance between CNB and FNA for malignancy. However, neoplastic diseases were more frequently detected by CNB than by FNA (88.8% vs. 77.6%, P=0.046). In category IV, there was no difference in unnecessary surgery rate between CNB and FNA (4.7% vs. 6.9%, P=0.6361).
Conclusion
Thyroid CNB decreased the rate of inconclusive results and showed a higher category IV diagnostic rate than FNA. The revised guidelines for thyroid CNB proved to be an excellent reporting system for assessing thyroid nodules.

Citations

Citations to this article as recorded by  
  • Examining the impact of several factors including COVID‐19 on thyroid fine‐needle aspiration biopsy
    Muzaffer Serdar Deniz, Merve Dindar
    Diagnostic Cytopathology.2024; 52(1): 42.     CrossRef
  • Consensus SFE-AFCE-SFMN 2022 sur la prise en charge des nodules thyroïdiens : intérêt et place de la cytologie thyroïdienne
    Myriam Decaussin-Petrucci, Beatrix Cochand Priollet, Emannuelle Leteurtre, Frédérique Albarel, Françoise Borson-Chazot
    Annales de Pathologie.2024; 44(1): 20.     CrossRef
  • A comparative analysis of core needle biopsy and repeat fine needle aspiration in patients with inconclusive initial cytology of thyroid nodules
    Xuejiao Su, Can Yue, Wanting Yang, Buyun Ma
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Preoperative Risk Stratification of Follicular-patterned Thyroid Lesions on Core Needle Biopsy by Histologic Subtyping and RAS Variant-specific Immunohistochemistry
    Meejeong Kim, Sora Jeon, Chan Kwon Jung
    Endocrine Pathology.2023; 34(2): 247.     CrossRef
  • 2023 Korean Thyroid Association Management Guidelines for Patients with Thyroid Nodules
    Young Joo Park, Eun Kyung Lee, Young Shin Song, Soo Hwan Kang, Bon Seok Koo, Sun Wook Kim, Dong Gyu Na, Seung-Kuk Baek, So Won Oh, Min Kyoung Lee, Sang-Woo Lee, Young Ah Lee, Yong Sang Lee, Ji Ye Lee, Dong-Jun Lim, Leehi Joo, Yuh-Seog Jung, Chan Kwon Jung
    International Journal of Thyroidology.2023; 16(1): 1.     CrossRef
  • Reevaluating diagnostic categories and associated malignancy risks in thyroid core needle biopsy
    Chan Kwon Jung
    Journal of Pathology and Translational Medicine.2023; 57(4): 208.     CrossRef
  • A Matched-Pair Analysis of Nuclear Morphologic Features Between Core Needle Biopsy and Surgical Specimen in Thyroid Tumors Using a Deep Learning Model
    Faridul Haq, Andrey Bychkov, Chan Kwon Jung
    Endocrine Pathology.2022; 33(4): 472.     CrossRef
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