Thyroid Imaging Reporting And Data System (TIRADS) For Ultrasound Features Of Solitary Thyroid Nodules

Abstract

Abstract Purpose to investigate the Thyroid Imaging Reporting and Data System (TIRADS) as a new classification system for solitary thyroid nodules by high resolution Ultrasonography in correlation with histopathological study. Materials and Methods Thirty patients with clinically suspected thyroid nodules referred to Radiology department at Ain shams University hospitals after fulfilling inclusion and exclusion criteria. All thyroid nodules are examined by ultrasound and charactrized according to internal components, margins, echogenicity, shape and evidence of echogenic foci the classified according to the American college of radiology (ACR) TIRADS guidline, then compared with histopathological examination by Fine needle aspiration cytology (FNAC) . Results Many ultrasound features were predeictors of malignancy hypoechoic echopattern, taller than wider shape, punctate echogenic foci, and lobulated and irregular margins with (p < 0.05). Risk of malignancy on TIRADS 1 and 2 nodules were 0%, also on TIRADS 3 nodules was 0%. While on TIRADS 4 and 5 nodules were 11.1% and 88.9% respectively. ROC analysis revealed sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under curve (AUC) are 100, 85.71, 75.00, 100.00 and 0.987 respectively when using cut-off value of score <5. Conclusion Our results suggest that ACR TIRADS classification is reliable in predicting thyroid malignancy. It could lead to a significant decrease of the number of unnecessary FNAC.