Contrast-enhanced ultrasound thyroid imaging reporting and data system outperforms K-TIRADS in diagnostic accuracy and reduces unnecessary fine-needle aspirations for thyroid nodules - Summary - MDSpire

Contrast-Enhanced Ultrasound Imaging for Thyroid Nodules Shows Superior Diagnostic Accuracy Compared to K-TIRADS and Decreases Unneeded Fine-Needle Aspiration Procedures

  • By

  • Guanchun Chen

  • Jingliang Ruan

  • Rongbin Liu

  • Youmei Tu

  • Zishen Ou

  • Zihao Zhong

  • Fuying Tao

  • Hesong Ye

  • Baoming Luo

  • July 21, 2026

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Objective:

To evaluate the diagnostic performance of a contrast-enhanced ultrasound-based Thyroid Imaging Reporting and Data System (CEUS TI-RADS) compared to K-TIRADS for differentiating benign from malignant thyroid nodules and to assess its ability to reduce unnecessary fine-needle aspirations (FNAs).

Approach:
  • Study Design: Retrospective analysis of 175 thyroid nodules in patients who underwent FNA and/or surgical resection between January 2022 and December 2023.
  • Classification: Nodules were classified according to both K-TIRADS and CEUS TI-RADS criteria, with pathological results serving as the reference standard.
  • Statistical Analysis: Receiver operating characteristic (ROC) curve analysis was performed to compare diagnostic efficacy, and multivariate logistic regression was used to identify independent predictors of malignancy.
Key Findings:
  • CEUS TI-RADS showed a higher diagnostic performance than K-TIRADS, with an AUC of 0.893 versus 0.804 (P < 0.05).
  • The unnecessary biopsy rate (UBR) was significantly lower for CEUS TI-RADS at 18.6% compared to 44.8% for both K-TIRADS 2016 and K-TIRADS 2021 (P < 0.01).
  • Independent predictors of malignancy included hypoechoic echogenicity, irregular or lobulated margins, punctate echogenic foci, and hypoenhancement.
  • Sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were calculated but not specified in the original summary.
Interpretation:

Conclusion:

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