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Evaluate the diagnostic performance of ACR TI-RADS in predicting thyroid nodule malignancy and assess its correlation with cytopathological outcomes.

March 21, 2026Open Access

Correlation of ACR TI-RADS ultrasound classification with cytopathology: a retrospective evaluation of diagnostic accuracy

Key Points

Evaluate the diagnostic performance of ACR TI-RADS in predicting thyroid nodule malignancy and assess its correlation with cytopathological outcomes.
Retrospective evaluation of 567 thyroid nodules using ultrasound and Doppler imaging.
TI-RADS scores assigned based on sonographic features according to ACR criteria.
Cytopathological outcomes classified as benign or malignant, serving as the reference standard.
Statistical analysis included sensitivity, specificity, predictive values, accuracy, and AUC calculations.
5.8% of nodules were malignant, with malignancy rates increasing across TI-RADS categories.
Malignancy rates reached 31.6% in TR5 nodules.
Using TI-RADS ≥4, sensitivity was 78.8%, specificity 61.0%, with an accuracy of 62.1% and AUC of 0.75.

Abstract

Aims: To evaluate the diagnostic performance of the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) in predicting malignancy in thyroid nodules and to assess the correlation between TI-RADS categories, cytopathological outcomes, and guideline-recommended biopsy thresholds.Methods: This retrospective single-center study included 567 thyroid nodules evaluated with ultrasound and Doppler imaging between January 2023 and November 2025. TI-RADS scores were retrospectively assigned according to ACR criteria based on sonographic features. Cytopathology served as the reference standard, with nodules classified as benign (Bethesda II) or malignant/suspicious for malignancy (Bethesda V–VI). Diagnostic performance metrics of TI-RADS ≥4 were calculated, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the receiver operating characteristic curve (AUC). Multivariate logistic regression was performed to identify independent predictors of malignancy.Results: Of the 567 nodules, 33 (5.8%) were malignant. Malignancy rates increased across TI-RADS categories, reaching 31.6% in TR5 nodules. Using TI-RADS ≥4 as the threshold, sensitivity was 78.8%, specificity 61.0%, PPV 11.1%, and NPV 97.9%, with an overall accuracy of 62.1% and an AUC of 0.75 (p

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