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Purpose: In this study, we aimed to investigate the diagnostic performance of modified thyroid nodule size based on the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for the pediatric population.
Method: This retrespective study enrolled patients younger than 21 years who underwent thyroid nodule US examination between January 2021 and June 2024. Thyroid nodules were assessed according to the ACR TI-RADS and the modification of size criteria. The diagnostic performance of sensitivity, specificity, area under the receiver operating characteristic curve (AUC), unnecessary biopsy rates, and missed malignancy rates were calculated and compared.
Results: A total of 204 thyroid nodules were retrospectively included, of them 51 were confirmed malignancies. For ACR TI-RADS, the sensitivity, specificity, and AUC were 76.5% (95% CI 62.5%-87.2%), 75.2% (95% CI 67.5%-81.8%), and 0.825 (95% CI 0.756-0.894), demonstrating moderate diagnostic performance. When applied modified lower nodule size, the sensitivity was improved (82.4%, 95% CI 69.1%-91.6%, and 88.2%, 95% CI 76.1%-95.6%); however, which was at the cost of decreasing specificity (65.4%, 95% CI 57.3%-72.9% and 53.6%, 95% CI 45.4%-61.7%).
Conclusion: ACR TI-RADS demonstrated moderate diagnostic performance in the younger population. Lowering the thyroid nodule size criteria for FNAB leads to a higher detection rate of malignant, however, which at the cost of a significantly increased number of biopsies. Larger multicentric studies are required to customize the recommendation further before it can be accepted and used generally in the pediatric population.
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http://dx.doi.org/10.1186/s12880-025-01820-z | DOI Listing |
Eur Radiol
September 2025
Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Objective: To explore the value of microflow patterns based on superb microvascular imaging (SMI) combined with greyscale ultrasound in thyroid nodule diagnosis and biopsy recommendation.
Materials And Methods: Adult patients with thyroid nodules were recruited from May 2023 to February 2024. The greyscale features of nodules were evaluated according to the five ultrasound risk stratification systems (RSSs).
Diagnostics (Basel)
August 2025
Department of Radiology, Anatomical-Patology and Oncology, Sapienza University of Rome, 00162 Rome, Italy.
This study aimed to compare: the performance of K-TIRADS, EU-TIRADS and ACR TIRADS when used by observers with different levels of experience compared with the gold standard of cytology, and to evaluate the diagnostic performance of CAD (computer-aided design) compared with TI-RADS systems. In total, 323 thyroid nodules were evaluated in patients who were candidates for needle aspiration. Three observers with different levels of experience evaluated the diagnostic accuracy of three risk stratification systems (ACR TI-RADS, EU-TIRADS and K-TIRADS) and CAD software (S-Detect, made by Samsung) in characterizing the nodules.
View Article and Find Full Text PDFEndocrine
August 2025
Thyroid Unit, Medical School, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Clin Transl Oncol
August 2025
Facultad de Ciencias Médicas' Unidad de Medicina Traslacional, Universidad Central del Ecuador, Iquique' N14-121 y Sodiro-Itchimbía, 170403, Quito, Ecuador.
Background: Thyroid nodules categorized as TIRADS 3 are typically considered low risk for malignancy (estimated < 5%) under the 2017 ACR TI-RADS guidelines. However, the real-world application of these criteria may vary, with many TIRADS 3 nodules undergoing fine-needle aspiration (FNA) despite recommendations for surveillance. This study aimed to identify clinical and ultrasonographic predictors of malignancy in TIRADS 3 nodules to enhance risk stratification.
View Article and Find Full Text PDFJMIR Form Res
August 2025
Department of Endocrinology, Singapore General Hospital, 20 College Road, Academia Level 3, Singapore, 169856, Singapore, 65 63214377.
Background: Thyroid nodules are common, with ultrasound imaging as the primary modality for their assessment. Risk stratification systems like the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) have been developed but suffer from interobserver variability and low specificity. Artificial intelligence, particularly large language models (LLMs) with multimodal capabilities, presents opportunities for efficient end-to-end diagnostic processes.
View Article and Find Full Text PDF