Global Correlation and Local Geometric Information Coupled Channel Contrast Learning for Thyroid Nodule Risk Stratification

Author(s):  
Yang Guo ◽  
Yuanbo He ◽  
Shuai Li ◽  
Ting Shu ◽  
Luying Gao
2020 ◽  
Vol 36 (2) ◽  
pp. 164-172
Author(s):  
Matthew T. Stib ◽  
Ian Pan ◽  
Derek Merck ◽  
William D. Middleton ◽  
Michael D. Beland

Author(s):  
Pyeong Hwa Kim ◽  
Chong Hyun Suh ◽  
Jung Hwan Baek ◽  
Sae Rom Chung ◽  
Young Jun Choi ◽  
...  

Author(s):  
Pierpaolo Trimboli ◽  
Giulia Ferrarazzo ◽  
Maurilio Deandrea ◽  
Chiara Camponovo ◽  
Francesco Romanelli ◽  
...  

Abstract Background A number of ultrasound risk stratification systems (RSSs) of thyroid nodule, often labeled as TIRADS (Thyroid Imaging Reporting and Data System), have been proposed. As a consequence, an increasing number of studies have been published on this topic. This systematic review was undertaken to answer specific questions in this field: how many articles and what type of studies have been published, which TIRADSs/RSSs have preferably been discussed, and what is the geographic distribution of the publications. Methods The study was conducted according to PRISMA. A specific search algorithm was used. Defined selection criteria were applied. Results 502 studies were finally included. The number of publications about TIRADSs/RSSs has increased over the time, being the Horvath TIRADS the most evaluated one. The first author of the article was from China in one fourth of cases. Conclusions The number of scientific articles focused on TIRADSs/RSSs is high and it has been importantly increased over the time.


2017 ◽  
Vol 208 (6) ◽  
pp. 1331-1341 ◽  
Author(s):  
William D. Middleton ◽  
Sharlene A. Teefey ◽  
Carl C. Reading ◽  
Jill E. Langer ◽  
Michael D. Beland ◽  
...  

2021 ◽  
Vol 03 ◽  
Author(s):  
Rajeev Chaturvedi ◽  
Ashok Kumar ◽  
Balaji Balasubramanian ◽  
Sreekala Sreehari

Objective: To evaluate the efficacy of the ultrasound based Thyroid Imaging Reporting and Data System (TIRADS)in estimating risk of malignancy in thyroid nodules by correlating it with Bethesda system of thyroid cytopathology. Methods: A retrospective single center study was conducted in a specialty hospital in UAE from November 2017 to November 2019 on 259 thyroid nodules which underwent ultrasound and fine needle aspiration cytology (FNAC). Thyroid nodules were evaluated using American College of Radiology (ACR) TIRADS and categorized as benign (TR1), not suspicious (TR2), mildly suspicious (TR3), moderately suspicious (TR4), or highly suspicious (TR5) for malignancy. The risk of malignancy associated with each TIRADS category was evaluated by comparing it with the Bethesda system classification of cytopathology. Results: Ultrasound and FNAC data of 259 nodules was reviewed. Out of these 33 (12.7%) nodules were excluded because FNAC revealed atypia of undetermined significance or follicular lesion of undetermined significance. The estimated risk of malignancy in TR 3 was 13.6%, in TR4 was 27% and TR5 was 63.6%. There was statistically significant correlation between –TIRADS and Bethesda system using Chi-square test (p<0.001). The receiver operating curve (ROC) analysis revealed specificity of 81.3 % [95% CI, 74.9-86.6%], NPV of 91 % [95% CI, 87.1–93.8%] and accuracy of 77.9% [95% CI, 71.9–83.1%] in differentiating benign from malignant nodules. Conclusion: The ultrasound based ACR- TIRADS scoring correlates well with the Bethesda cytopathology in thyroid nodule risk stratification. Thus, it can be used as a simple and effective tool to decide further management and avoid unnecessary FNAC and surgeries in thyroid nodules.


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