The reliability of TIRADS classification in predicting thyroid malignancy based on ultrasound findings in Mosul city

Introduction and Aim: Ultrasound of the thyroid gland is a routine procedure. Nodules are most common disorders seen analyzed by ultrasound. The study purpose was to show how accurate ultrasonography at identifying benign from malignant nodules using (Thyroid Imaging Reporting Data System TIRADS) categories. High-frequency scanning neck glands offers useful information anatomical images. Materials Methods: This involved 495 patients who were subjected ultrasound imaging December 2019 2020. evaluation performed professional Radiologist means transducer with linear-array (between 5 - 12 MHz) (DC-30, Shenzhen Mindray Bio-Medical Electronics Co., Ltd). detected evaluated for composition, echogenicity, boundary, shape echogenic foci. Each attribute recorded standardized scoring system provided ACR Thyroid (ACR TI-RADS). scores obtained, used in classifying as TI-RADS 1, 2, 3, 4a, 4b, define risk levels nodule. Results: TIRADS approach assess data obtained categorized created on features such irregular edges, shape, tall rather wide, hypo echogenic, calcified, vascular. TIRAD 3 category accounting about 251 cases (52.73 percent calculated diagnostic results, which included specificity (50%), sensitivity (96.59%), positive (97.21%) negative (55.17%) predictive values. revealed 26 (4.25%) be cancerous. Conclusion: Since categorization good technique predicting malignancies nodules, we employ first tool efficiently finding nodules.