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

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Authors: Seohyun Ryu, Hye Sun Lee, Jin Il Chung, Ji Ye Lee, Soo Yeon Hahn, Jeoung Hyun Kim, Won Hwa Kim, Jaeil Kim, Jung Hyun Yoon
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References: 19

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: < 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.

Fields of Study & Subjects

Thyroid Cancer Diagnosis and Treatment Thyroid and Parathyroid Surgery Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Journal of the Korean Society of Radiology
Volume
87
Issue
3
Pages
546–546
Publication date
1 January 2026
Language
EN