SUI Yang, WANG Bing, SUN Yixue. Comparison of three thyroid nodule risk stratification systems C-TIRADS, ACR-TIRADS and KTA/KSThR-TIRADS[J]. Journal of Bengbu Medical University, 2024, 49(3): 381-385. DOI: 10.13898/j.cnki.issn.1000-2200.2024.03.022
    Citation: SUI Yang, WANG Bing, SUN Yixue. Comparison of three thyroid nodule risk stratification systems C-TIRADS, ACR-TIRADS and KTA/KSThR-TIRADS[J]. Journal of Bengbu Medical University, 2024, 49(3): 381-385. DOI: 10.13898/j.cnki.issn.1000-2200.2024.03.022

    Comparison of three thyroid nodule risk stratification systems C-TIRADS, ACR-TIRADS and KTA/KSThR-TIRADS

    • Objective To compare the diagnostic performance of thyroid imaging reporting and data systems proposed by the Chinese Medical Association, the American Radiological Society, and the Korean Thyroid Radiological Society (C-TIRADS, ACR-TIRADS, KTA/KSThR TIRADS).
      Methods Based on surgical pathological results, 226 thyroid nodules from 226 patients were classified by C-TIRADS, ACR-TIRADS, and KTA/KSThR TIRADS to evaluate their diagnostic performance.
      Results Among the 226 thyroid nodules, 140 nodules were benign (61.9%) and 86 nodules were malignant (38.1%).ROC curve analysis showed that the AUC of C-TIRADS was the highest (0.834, P < 0.05);there was no statistically significant difference in AUC between KTA/KSThR-TIRADS and ACR-TIRADS (0.778, 0.760, P>0.05);KTA/KSThR-TIRADS had the highest diagnostic sensitivity (82.6%), while C-TIRADS had the highest specificity and accuracy (83.6%, 79.3%).There was no statistically significant difference in AUC between the three TI-RADS guidelines in diagnosing nodules ≤10 mm and nodules >10 mm (P>0.05).
      Conclusions Compared with ACR-TIRADS and KSThR-TIRADS, C-TIRADS has the best diagnostic performance for thyroid nodules.Moreover, C-TIRADS is easy to perform and more suitable for thyroid nodules in the Chinese population.
    • loading

    Catalog

      Turn off MathJax
      Article Contents

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return