Accuracy of thyroid imaging reporting and data system in evaluation of thyroid neoplasm

Abstract

Background: Several US Thyroid Imaging Reporting and Data Systems (TIRADS) have been proposed for risk assessment of thyroid nodules. The nodules are usually divided into variant categories based on TIRADS and are then guided to Fine Needle Aspiration (FNA) Biopsy or follow-up, according to the risk of malignancy. Objective: To assess the specificity, sensitivity and accuracy of TIRADS in diagnosis of thyroid neoplasm Patients and Methods: This study included 60 patients presented to the General Surgery and Endocrine Surgery Unite Outpatient Clinic at Mansoura University Hospitals with thyroid disorders. The study was conducted during the period between 1 November 2018 and the end of March 2020. All patients were radiologically evaluated using neck ultrasound with TIRADS classification. Fine needle aspiration was performed and the results of both were compared to the postoperative pathology reports. Results: the current study evaluated the accuracy of TIRADS (TIRADS 3,4a and 4b) compared to (TIRADS 4c and 5) with sensitivity 83.3%, specificity 92.9%, PPV 83.3%, NPV 92.9% and accuracy 90.0%. Conclusion: TIRADS scoring system is of great value in the diagnosis of simple nodular goiter as it gives a degree of accuracy more than 90% compared to FNAC were the degree of accuracy was 78.3%.