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

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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Journal
Journal of Health Sciences and Medicine
Published
2026-03-12
DOI
https://doi.org/10.32322/jhsm.1853967
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
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article

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

Şeref Barbaros Arık, Pınar Atabey
Journal of Health Sciences and Medicine
Thyroid Cancer Diagnosis and Treatment
article

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

Şeref Barbaros Arık, Pınar Atabey
article en

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

Journal of Health Sciences and MedicineVol. 9(2)
Yüksek İhtisas Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 17%
Thyroid Cancer Diagnosis and Treatment
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