Klinik Pratikte ACR-TIRADS’ın Uygulanması

Abstract

Objective To investigate the diagnostic accuracy of the Thyroid Imaging, Reporting and Data System of the American College of Radiology in thyroid nodules. Material and Method A total of 151 nodules were collected from 62 patients undergoing thyroid surgery in our center between August 2017 and September 2018. Ultrasonographic features of each nodule were recorded and classified according to the Thyroid, Imaging Reporting and Data System of the American College of Radiology by two radiologists and compared with a one-to-one basis on histopathology. Results The median size of 151 thyroid nodules measured on the ultrasound and in the pathology specimens were 19 (3-85) mm and 17 (0-97) mm, respectively. Papillary carcinoma was demonstrated in 28 patients (45%), papillary microcarcinoma in 14 patients (22.5%), and Hurthle cell carcinoma in 1 (1.6%) patient. Overall sensitivity, specificity, positive predictive value, and negative predictive value for this nodule risk stratification model were analyzed as 82.5%, 57%, 64.58%, and 77.67%, respectively. Conclusion Setting a definitive size threshold for fine needle aspiration might be misleading, instead signifying the malignant features on ultrasonography, and making a decision for surgery on an individual base should be recommended.