Evidence map›Paper›PMID 42306147›Full record

ArticleJournal of the Korean Society of Radiology2026

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

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

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Article in Journal of the Korean Society of Radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

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6 · The paper itself

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 (κ = 0.61) for all four readers. The mean AUC did not differ significantly between ACR TI-RADS and K-TIRADS ( 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.

Indexed as

Fine-Needle Aspiration BiopsyNeoplasmThyroid Imaging Reporting and Data SystemThyroid NoduleUltrasonography

Identifiers

PMID42306147
PMCPMC13266116

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