Clinical value of the Thyroid Follicular Tumor Ultrasound Risk Stratification System in differentiating thyroid follicular carcinoma and follicular adenoma
10.3760/cma.j.cn131148-20240329-00194
- VernacularTitle:甲状腺滤泡性肿瘤超声风险分层系统鉴别甲状腺滤泡癌和滤泡腺瘤的临床价值
- Author:
Lishan XIAO
1
;
Yuchen LI
;
Mengmeng YAN
;
Meixia DU
;
Cheng ZHAO
;
Chunping NING
Author Information
1. 青岛大学附属医院腹部超声科,青岛 266000
- Keywords:
Ultrasonography;
Follicular thyroid carcinoma;
Follicular thyroid adenoma;
Thyroid Imaging Reporting and Data System for Follicular Thyroid Neoplasms;
Dif
- From:
Chinese Journal of Ultrasonography
2024;33(9):791-799
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To assess the discriminatory value of the Thyroid Follicular Tumor Ultrasound Risk Stratification System (F-TIRADS) in differentiating follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA), and to compare its performance with other risk stratification systems(RSS).Methods:A retrospective analysis was conducted on 325 patients (327 thyroid nodules) diagnosed postoperatively as FTC or FTA at Affiliated Hospital of Qingdao University from January 2016 to December 2023. The cases were divided into FTC group (81 nodules) and FTA group (246 nodules). The nodules were classified based on F-TIRADS, the 2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS), the 2015 American Thyroid Association guidelines (ATA guidelines), and the 2017 European Thyroid Association Thyroid Imaging Reporting and Data System (EU-TIRADS) by two ultrasound physicians. Multivariate Logistic regression analysis was used to identify independent predictors associated with FTC. Diagnostic performance of the 4 RSS was compared using postoperative pathological results as the gold standard.Results:Multivariate Logistic regression analysis showed maximum diameter, solid composition, hypoechogenicity, unclear or angular margins, marginal or ring calcifications, trabecular structure, and central blood flow were independent predictors of FTC( OR=1.914, 3.427, 9.926, 9.163, 45.918, 3.191, 8.936, respectively; all P<0.05). Within each RSS, the actual malignancy rate increased with higher risk categories, aligning closely with the recommended malignancy rates (except for ATA guidelines). The optimal cut-off values for distinguishing FTC from FTA were FTC risk 50%-90% in F-TIRADS, C-TIRADS 4B, moderately suspicious nodules in ATA guidelines, and EU-TIRADS 4, with areas under the curve of 0.916, 0.808, 0.827, and 0.836, respectively. F-TIRADS demonstrated the best overall performance (sensitivity: 82.72%, specificity: 82.93%), with significant differences compared with C-TIRADS, ATA guidelines, and EU-TIRADS (all P<0.05). Conclusions:F-TIRADS is highly effective in distinguishing FTA from FTC, outperforming C-TIRADS, ATA Guidelines, and EU-TIRADS. Clinicians should pay close attention to solid hypoechoic nodules with unclear or angular margins, marginal or ring calcifications, central blood flow, or a trabecular structure.