Abstract

To compare the efficiency of four different ultrasound (US) Thyroid Imaging Reporting and Data Systems (TI-RADS) in malignancy risk stratification in surgically resected thyroid nodules (TNs). The study included 547 benign TNs and 464 malignant TNs. US images of the TNs were retrospectively reviewed and categorized according to the TI-RADSs published by Horvath E et al. (TI-RADS H), Park et al. (TI-RADS P), Kwak et al. (TI-RADS K) and Russ et al. (TI-RADS R). The diagnostic performances for the four TI-RADSs were then compared. At multivariate analysis, among the suspicious US features, marked hypoechogenicity was the most significant independent predictor for malignancy (OR: 15.344, 95% CI: 5.313-44.313) (P < 0.05). Higher sensitivity was seen in TI-RADS H, TI-RADS K, TI-RADS R comparing with TI-RADS P (P < 0.05 for all), whereas the specificity, accuracy and area under the ROC curve (Az) of TI-RADS P were the highest (all P < 0.05). Higher specificity, accuracy and Az were seen in TI-RADS K compared with TI-RADS R (P = 0.003). With its higher sensitivity, TI-RADS K, a simple predictive model, is practical and convenient for the management of TNs in clinical practice. The study indicates that there is a good concordance between TI-RADS categories and histopathology.

Details

Title
Malignancy risk stratification of thyroid nodules: comparisons of four ultrasound Thyroid Imaging Reporting and Data Systems in surgically resected nodules
Author
Wang, Ying 1 ; Kai-Rong, Lei 2 ; He, Ya-Ping 3 ; Xiao-Long, Li 4 ; Wei-Wei, Ren 4 ; Chong-Ke, Zhao 4 ; Xiao-Wan, Bo 4 ; Wang, Dan 4 ; Cheng-Yu, Sun 1 ; Hui-Xiong, Xu 4 

 Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China; Shanghai Center for Thyroid Diseases, Shanghai, China 
 Department of Medical Ultrasound, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China 
 Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Shanghai Center for Thyroid Diseases, Shanghai, China 
 Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China; Shanghai Center for Thyroid Diseases, Shanghai, China 
Pages
1-10
Publication year
2017
Publication date
Sep 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1954353952
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.