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Objective: This study aimed to evaluate a new risk stratification system, the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS), published in 2017.
Materials And Methods: From January 2015 to December 2016, 1033 thyroid nodules in 1013 patients who had undergone sonography and thyroid surgery or fine-needle aspiration (FNA) in our hospital were included. The sonographic features were described in a standard manner and analyzed according to the white paper of the ACR TI-RADS Committee. Nodules were assigned points for each feature, and the points were totaled to determine the final TI-RADS levels.
Results: Of the 1033 nodules, 725 were benign and 308 were malignant proven by operation or FNA. The malignant risk was associated with the composition, echogenicity, shape, margins, and echogenic foci of the nodules (P < 0.001). The calculated risk of malignancy was higher in nodules with macrocalcifications than those with peripheral calcifications, which is different from the ACR TI-RADS. The calculated malignancy rates of nodules with TR5, TR4, TR3, and TR2 were 67.1%, 13.0%, 1.1%, and 0%, respectively, which showed a higher malignant risk than the suggested threshold of TR5 in the ACR TI-RADS. Six nodules with TR4 recommended for no follow-up and 55 nodules with TR5 recommended for follow-up were malignant with cervical lymph node metastasis.
Conclusions: The ACR TI-RADS provides effective malignancy risk stratification for thyroid nodules and was useful for the decision for FNA. However, the points assigned for echogenic foci, the set of the TI-RADS risk thresholds, and FNA thresholds may need more consideration and prospective validation.
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http://dx.doi.org/10.1097/RUQ.0000000000000350 | 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