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논문 기본 정보

자료유형
학술저널
저자정보
나동규 (울산대학교) Paik Wooyul (Department of Radiology Gangneung Asan Hospital University of Ulsan College of Medicine Gangneung K) 차재형 (고려대학교) Gwon Hye Yun (Department of Radiology Gangneung Asan Hospital University of Ulsan College of Medicine Gangneung K) Kim Suh Young (Department of Radiology GangNeung Asan Hospital) Yoo Roh-Eul (서울대학교)
저널정보
대한초음파의학회 ULTRASONOGRAPHY ULTRASONOGRAPHY Vol.40 No.4
발행연도
2021.10
수록면
474 - 485 (12page)
DOI
10.14366/usg.20148

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Purpose: The aim of this study was to evaluate the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System (K-TIRADS) compared with five society risk stratification systems (RSSs) according to nodule size.Methods: In total, 3,826 consecutive thyroid nodules (≥1 cm) with final diagnoses in 3,088 patients were classified according to five RSSs. The K-TIRADS was modified by raising the biopsy size threshold for low-suspicion nodules and subcategorizing intermediate-suspicion nodules. We assessed the performance of the RSSs as triage tests and their diagnostic accuracy according to nodule size (with a threshold of 2 cm).Results: Of all nodules, 3,277 (85.7%) were benign and 549 (14.3%) were malignant. In small thyroid nodules (≤2 cm), the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) had the highest reduction rate of unnecessary biopsies (76.3%) and the lowest sensitivity (76.1%). The modified K-TIRADS had the second highest reduction rate of unnecessary biopsies (67.6%) and sensitivity (86.6%). The modified K-TIRADS and ACR TI-RADS had the highest diagnostic odds ratios (P=0.165) and the highest areas under the curve (P=0.315). In large nodules (>2 cm), the sensitivity of the ACR TI-RADS for malignancy was significantly lower (88.8%) than the sensitivities of the modified K-TIRADS and other RSSs, which were very high (98.7%-99.3%) (P<0.001).Conclusion: The modified K-TIRADS allows a large proportion of unnecessary biopsies to be avoided, while maintaining high sensitivity and diagnostic accuracy for small malignant tumors and very high sensitivity for large malignant tumors.

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