Comparative Evaluation of Thyroid Imaging Reporting and Data System (TIRADS) and Cytopathological Findings in Thyroid Nodules among the Population of South West Bihar

Background:We frequently observe thyroid lesions in our day-to-day clinical work.In order to lessen the number of needless biopsies, auxiliary instruments for assessing thyroid lesions worthy of cytological evaluation should be developed.However, there are a number of limitations to ultrasound, such as equipment resolution differences, observer variability, and overlapping findings.TIRADS categorization makes an effort to reduce these drawbacks.Aims/ objective: To compare the clinical value of TIRADS in evaluating the malignancy of thyroid nodule with the final histopathological results in our setup. Materials and Method:A total of 93 patients with thyroid swelling with TIRADS category 2-5 were evaluated.Every patient had high resolution B-mode ultrasound.If thyroid nodules were found, they were classified using the ACR-TIRADS.The final histopathology results were reviewed and interpreted with the ultrasonography TIRADS categorization results.Results: Most of patients belonged to TIRADS 2 category (56.99%) followed by TIRADS 4 (22.58%) and TIRADS 3 (22.58%).Only 3.23% of patients belonged to TIRADS 5. Most of the patients (>80%) in TIRADS category 2 & 3 category had benign lesion.More than 60% patients in TIRADS 4 category had malignant lesion.TIRADS 5 category had 100% malignancy.TIRADS classification had more specificity (88.89%) and negative predictive value as compared to sensitivity (76.19%) and positive predictive value.Adenomatoid nodule was most common benign lesion whereas papillary carcinoma was most common malignant lesion. Conclusion:ACR-TIRADS classification is a very specific and accurate method for classifying benign and malignant nodules and a reliable signal for predicting cancer.