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Comparative Analysis of ACR TI-RADS and K-TIRADS: Inter-System Agreement and Diagnostic Performance Using a Single Study Cohort

Authors
 Ryu, Seohyun  ;  Lee, Hye Sun  ;  Chung, Jin  ;  Lee, Ji Ye  ;  Hahn, Soo Yeon  ;  Kim, Jeoung Hyun  ;  Kim, Won Hwa  ;  Kim, Jaeil  ;  Yoon, Jung Hyun 
Citation
 JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY, Vol.87, 2026-01 
Article Number
 e4 
Journal Title
 JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 
Issue Date
2026-01
Keywords
Thyroid Imaging Reporting and Data System ; Thyroid Nodule ; Neoplasm ; Ultrasonography ; Fine-Needle Aspiration Biopsy
Abstract
Purpose To evaluate the inter-system agreement and diagnostic performance of experienced readers using two Thyroid Imaging Reporting and Data Systems (TI-RADS). Materials and Methods A total of 481 thyroid US images were collected retrospectively. Four experienced radiologists independently reviewed the images and documented the US features and final assessments based on the Korean TI-RADS (K-TIRADS). The final American College of Radiology (ACR) TI-RADS score was calculated using individual US feature scores. The final assessments from both TI-RADS systems were used to evaluate inter-reader and inter-system agreement. The diagnostic performance metrics, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and unnecessary biopsy rate, were calculated and compared. Results Among the 481 US images, 157 were benign, 184 were malignant, and 140 were negative images. In the final assessment, substantial agreement was observed between the two TI-RADS systems (kappa = 0.61) for all four readers. The mean AUC did not differ significantly between ACR TI-RADS and K-TIRADS (p = 0.52). Compared with K-TIRADS, ACR TI-RADS demonstrated significantly higher sensitivity and NPV but significantly lower specificity, PPV, and unnecessary biopsy rates (p < 0.001). Conclusion Substantial agreement was observed between the final assessments of ACR TI-RADS and K-TIRADS. The mean AUC did not differ significantly between the two TI-RADS categories, reflecting consistent image interpretation and patient management regardless of the system.
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DOI
10.3348/jksr.2025.0054
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Yoon, Jung Hyun(윤정현) ORCID logo https://orcid.org/0000-0002-2100-3513
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/211312
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