Risk Stratification of Thyroid Nodules Using the Thyroid Imaging Reporting and Data System (TIRADS): The Omission of Thyroid Scintigraphy Increases the Rate of Falsely Suspected Lesions

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.

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Thyroid Imaging Reporting and Data System (TI-RADS): the impact of Quantitative Strain Elastography for better stratification of cancer risks.

Medical Ultrasonography ◽

10.11152/mu.2013.2066.173.dst ◽

2015 ◽

Vol 17 (3) ◽

pp. 327 ◽

Cited By ~ 13

Author(s):

Dana Stoian ◽

Bogdan Timar ◽

Mihnea Derban ◽

Stelian Pantea ◽

Florian Varcus ◽

...

Keyword(s):

Differential Diagnosis ◽

Risk Stratification ◽

Predictive Value ◽

Thyroid Nodules ◽

Data System ◽

Strain Elastography ◽

Thyroid Imaging ◽

Risk Stratification Model ◽

Area Under Roc Curve ◽

The Impact

Aims: Due to the elevated prevalence of the solid thyroid nodules in a general population, an appropriate selection of cases referred to surgery is of paramount importance. The main aim of our study was to evaluate the performance of the Thyroid Imaging Reporting and Data System (TI-RADS) as a differential diagnosis tool for thyroid nodules. Material and methods: We evaluated 174 nodules using TI-RADS risk stratification model, using conventional ultrasound and real time elastography parameters and linear multifrequency probe (Hitachi Preirus Machine, Hitachi Inc., Japan). All the nodules were classified using the TI-RADS system according to echogenicity, margins, shapes, calcification, lymph nodes, and increased strain ra- tion. The results were compared with the pathology exam, which was considered the golden standard diagnosis. Results: The prevalence of malignant nodules was 16.7% (29 cases). The differential diagnosis performance regarding the malignant tumor for TI-RADS is appropriate for clinical use, obtaining an area under ROC curve of 0.95761 [0.8424-0.989] 95% confidence interval. Combining TI-RADS 2, 3 and 4A as probably benign and TI-RADS 4B and 5 as probably malignant, the sensitiv- ity, specificity, positive predictive value, and negative predictive value were 97.93%, 86.20%, 97.26% and 89.28% respec- tively. The overall accuracy of the method was 95.97%.According to the American Association of Clinical Endocrinologists Guidelines, 169 cases required FNAB examination; by applying the TI-RADS scoring system, the necessity for FNAB would decrease to 74 cases. Conclusion: Quantitative strain elastography, as the 6th parameter of TI-RADS system, adds diagnostic power to the risk stratification model.

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A retrospective study correlating Ultrasound based Thyroid Imaging Reporting and Data System(TIRADS) with Bethesda System for Thyroid cytopathology in thyroid nodule risk stratification

New Emirates Medical Journal ◽

10.2174/0250688203666210111152307 ◽

2021 ◽

Vol 03 ◽

Author(s):

Rajeev Chaturvedi ◽

Ashok Kumar ◽

Balaji Balasubramanian ◽

Sreekala Sreehari

Keyword(s):

Risk Stratification ◽

Thyroid Nodule ◽

Thyroid Nodules ◽

Data System ◽

Receiver Operating Curve ◽

Thyroid Imaging ◽

Risk Of Malignancy ◽

Bethesda System ◽

Thyroid Cytopathology ◽

Undetermined Significance

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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