A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate

Thyroid ◽  
2020 ◽  
Author(s):  
Chong-Ke Zhao ◽  
Tian-Tian Ren ◽  
Yi-Fei Yin ◽  
Hui Shi ◽  
Han-Xiang Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Imaging ◽  
Biopsy Rate

scholarly journals Ultrasound Real-Time Tissue Elastography Improves the Diagnostic Performance of the ACR Thyroid Imaging Reporting and Data System in Differentiating Malignant from Benign Thyroid Nodules: A Summary of 1525 Thyroid Nodules

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Shufang Pei ◽  
Bin Zhang ◽  
Shuzhen Cong ◽  
Juanjuan Liu ◽  
Suqing Wu ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Real Time ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Data System ◽  
Maximum Diameter ◽  
Thyroid Imaging ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid ◽  
Tissue Elastography

Background. To explore the correlation between the ultrasound elasticity score (ES) of real-time tissue elastography (RTE) and the malignant risk stratification of the Thyroid Imaging Reporting and Data System (TI-RADS) and to evaluate the added value of RTE to TI-RADS in differentiating malignant nodules from benign ones. Methods. A total of 1,498 patients (885 women and 613 men; mean age of 43.5 ± 12.4 years) with 1,525 confirmed thyroid nodules (D = maximum diameter, D ≤ 2.5 cm) confirmed by fine-needle aspiration (FNA) and/or surgery were included. The nodules were divided into four groups based on their sizes (D ≤ 0.5 cm, 0.5 < D ≤ 1.0 cm, 1.0 < D ≤ 2.0 cm, and 2.0 < D ≤ 2.5 cm). We assigned an ES of RTE and malignant risk stratification of the TI-RADS category to each nodule. The correlation between the ES of RTE and the malignant risk stratification of TI-RADS category was analyzed by the Spearman’s rank correlation. The diagnostic performances of RTE, TI-RADS, and their combination were compared by the receiver operator characteristic (ROC) analysis. Results. The ES of RTE and the malignant risk stratification of TI-RADS showed a strong correlation in the size intervals of 0.5 < D ≤ 1.0 cm, 1.0 < D ≤ 2.0 cm, and 2.0 < D ≤ 2.5 cm (r = 0.768, 0.711, and 0.743, respectively). The diagnostic performance of their combination for each size interval was always better than RTE or TI-RADS alone (for all, P<0.001). Conclusions. Overall, The ES of RTE was strongly correlated with the malignant risk stratification of TI-RADS. The diagnostic performance of the combination of RTE and TI-RADS outperformed RTE or TI-RADS alone. Therefore, RTE may be an adjunctive tool to the current TI-RADS system for differentiating malignant from benign thyroid nodules.

Application of Thyroid Imaging Reporting and Data System in the Ultrasound Assessment of Thyroid Nodules According to Physician Experience

2016 ◽  
Vol 32 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Su Yeon Ko ◽  
Eun-Kyung Kim ◽  
Hee Jung Moon ◽  
Jung Hyun Yoon ◽  
Ha Yan Kim ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Imaging ◽  
Ultrasound Assessment

scholarly journals Risk of Malignancy in Thyroid Nodules Using the American College of Radiology Thyroid Imaging Reporting and Data System in the NIFTP Era

2018 ◽  
Vol 50 (10) ◽  
pp. 735-737 ◽  
Author(s):  
Pedro Rosario ◽  
Alexandre da Silva ◽  
Maurício Nunes ◽  
Michelle Borges
Keyword(s):  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Neoplasm ◽  
Malignant Tumours ◽  
Thyroid Imaging ◽  
Risk Of Malignancy ◽  
Nuclear Features

AbstractRecently, the American College of Radiology (ACR) proposed a Thyroid Imaging Reporting and Data System (TI-RADS) for thyroid nodules based on ultrasonographic features. It is important to validate this classification in different centres. The present study evaluated the risk of malignancy in solid nodules>1 cm using ACR TI-RADS. The risk of malignancy was defined including noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and after its exclusion from malignant tumours. For the present study, the original images were revised, and each nodule was assigned to one of the TI-RADS levels proposed for solid nodules: TR3, TR4, or TR5. This risk of malignancy was significantly different for the three levels: 1.7%, 11.2%, and 60.6% for TR3, TR4, and TR5, respectively, when NIFTP was included, and 0.6%, 7.9%, and 60.2% for TR3, TR4, and TR5, respectively, when NIFTP was excluded from malignant tumours. The nodules corresponding to NIFTP were classified according to ACR as TR3 in 28.5% of cases, TR4 in 67.8%, and TR5 in only 3.5%. The nodules corresponding to cancer were classified according to ACR as TR3 in only 2.3% of cases, TR4 in 27%, and TR5 in 70.5%. In conclusion, this study shows the validity of the ACR TI-RADS for solid thyroid nodules, even after the exclusion of NIFTP from malignant tumours.

Thyroid imaging reporting and data system (TI‐RADS) of the American College of Radiology (ACR) for predicting malignancy in thyroid nodules >1 cm with indeterminate cytology

2018 ◽  
Vol 47 (5) ◽  
pp. 523-525 ◽  
Author(s):  
Tiara Grossi Rocha ◽  
Pedro Weslley Rosario ◽  
Alexandre Lemos Silva ◽  
Maurício Buzelin Nunes ◽  
Maria Regina Calsolari
Keyword(s):  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Imaging ◽  
Indeterminate Cytology
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