Ultrasonography based thyroid imaging reporting and data system (tirads) in risk stratification of malignancy in thyroid nodules

Abstract

1) To categorise the thyroid lesions according to TIRADS (Thyroid Imaging Reporting and Data System) classification into benign and malignant based on gray scale sonography and color doppler findings. 2) To compare the thyroid categorized according to TIRADS with the findings of cyto/histopathology as gold standard Results: The sensitivity, specificity, positive predictive value and negative predictive value of TIRADS in predicting malignancy was 100 %, 88.3%, 31.3 % and 100% respectively. The diagnostic accuracy of TIRADS was found to be 88.9 % in our study. ACR proposed TIRADS is a reliable, highly specific and accurate classification system for stratifying thyroid nodules according to their risk of malignancy based on their sonographic features