Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination.

Ting XuYa WuRun-Xin WuYu-Zhi ZhangJing-Yu GuXin-Hua YeWei TangShu-Hang XuChao LiuXiao-Hong Wu

Published in: Endocrine (2018)

All these US models showed great value in predicting thyroid malignancy. Among them, KSThR-TIRADS showed the most effective diagnostic performance in specificity, while ACR-TIRADS yielded best sensitivity. As for FNAB criteria, ACR-TIRADS showed the lowest rate of unnecessary FNAB and highest rate of malignancy in FNAB.

Keyphrases

high resolution
electronic health record
big data
adverse drug
solid phase extraction
molecularly imprinted
fluorescence imaging
artificial intelligence
clinical evaluation
tandem mass spectrometry