Effectiveness of TI-RADS and ATA classifications for predicting malignancy of thyroid nodules

BACKGROUND Thyroid cancer is one of the most common cancers and especially in young patients. Therefore, effective recognition treatment thyroid are essential for patient survival. OBJECTIVES To compare effectiveness standard guidelines predicting malignancy. do so, nodules were classified according to categories American Association (ATA) Imaging Reporting Data System (TI-RADS) guidelines, compared with fine-needle aspiration biopsy (FNAB) results. MATERIAL AND METHODS The study included 1741 a final diagnosis 1121 consecutive FNAB was recommended all patients ATA subsequently performed. reclassified TI-RADS guidelines. RESULTS Comparing terms ultrasonography (US) features Bethesda cytological classification Cytopathology, 37.6% high-risk category found be malignant cytology, 10.4% suspicious malignancy, 4% non-diagnostic, 9.6% indeterminant 38.4% benign. According risk category, 50% those high suspicion malignant, 13.3% malignancy cytology 36.7% For best cutoff value differentiating benign 4.5 (area under curve (AUC) = 0.962, 95% CI 0.943-0.981, p < 0.001). separating (AUC 0.917, 0.875-0.959, diagnostic performances score systems evaluated using highly nodules. sensitivity specificity nodules, both high. Sensitivity 80% 96.3%, respectively. 76% 97.5%, respectively, but positive predictive low (63.3% 55.5%). CONCLUSIONS Both, classifications can effectively predict may thus decrease unnecessary FNAB.