Liu Bo-Ji, Liu Yun-Yun, Wan Jing, Zhang Ying, Ou Di, He Hong-Feng, Pineda John P, Han Hong, Zhang Yi-Feng, Xu Hui-Xiong
Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound, Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
Department of Medical Ultrasound, Zhejiang Cancer Hospital, the University of Chinese Academy of Sciences, Zhejiang, Hangzhou, China.
Ultrasound Med Biol. 2025 Aug;51(8):1343-1351. doi: 10.1016/j.ultrasmedbio.2025.05.004. Epub 2025 May 31.
Preoperative diagnosis of follicular thyroid neoplasm (FTN) (including follicular thyroid adenoma [FTA] and follicular thyroid carcinoma [FTC]) is difficult and the current ultrasound risk stratification systems (RSSs) for thyroid nodules are not suitable for FTN. Therefore, this study aimed to establish a new RSS for FTN as a useful preoperative evaluation to reduce missed diagnoses and unnecessary biopsies.
We included 535 FTNs from four hospitals in this retrospective study. All nodules were divided randomly into a test group (n = 370; 111 FTCs and 259 FTAs) and a validation group (n = 165; 51 FTCs and 114 FTAs). The ultrasound features of each nodule were analyzed. Thyroid Imaging Reporting and Data System (TIRADS) of FTN (FTN-TIRADS) was established based on the results of univariate analysis and logistic regression of ultrasound features. Each nodule was evaluated and classified by these four RSSs (RSS from European Thyroid Association [EU-RSS], RSS from the American Thyroid Association [ATA-RSS], TIRADS from the American College of Radiology [ACR-TIRADS], TIRADS from China [C-TIRADS]) and FTN-TIRADS, respectively. Receiver operating characteristic curve analysis was performed and the area under the receiver operator characteristic curve (AUC) was used to evaluate the diagnostic value of the RSSs mentioned above. The diagnostic value of FTN-TIRADS in the validation group was verified and compared with the test group and other four RSSs. The unnecessary rates of fine needle aspiration (FNA) were calculated and compared between FTN-RIRADS and the other four RSSs.
The test group and validation group included 370 patients (86 male patients) and 165 patients (48 male patients). The following ultrasound features were independent risk factors and included in FTN-TIRADS: nodule composition, echogenicity, calcifications, halo sign, indistinct boundary with the thyroid capsule. Nodules were classified as TR2, TR3, TR4a, TR4b, TR4c, and TR5 with none to five suspicious features described, respectively. The AUC of FTN-TIRADS was 0.855, statistically higher than EU-RSS, ATA-RSS, ACR-TIRADS and C-TIRADS (0.759, 0.759, 0.753, and 0.677, respectively) (all p < 0.05). The FTN-TIRADS of the validation group had similar diagnostic performance to that of the test group (AUC 0.879 vs. AUC 0.855; p = 0.569). The unnecessary FNA rate of the FTN-TIRADS was 41.4%, which was significantly lower than that of EU-RSS (67.3%), ATA-RSS (69.0%), ACR-TIRADS (60.1%), and C-TIRADS (63.2%).
FTN-TIRADS achieved better differential diagnosis of FTN than current RSSs and significantly reduced the rate of unnecessary FNA. It can serve as a reliable preoperative noninvasive assessment tool for thyroid follicular tumors, reducing unnecessary FNA and unnecessary surgeries.
甲状腺滤泡性肿瘤(FTN,包括甲状腺滤泡性腺瘤[FTA]和甲状腺滤泡癌[FTC])的术前诊断具有挑战性,目前的甲状腺结节超声风险分层系统(RSS)不适用于FTN。因此,本研究旨在建立一种新的FTN的RSS,作为一种有用的术前评估方法,以减少漏诊和不必要的活检。
在这项回顾性研究中,我们纳入了来自四家医院的535个FTN。所有结节被随机分为测试组(n = 370;111个FTC和259个FTA)和验证组(n = 165;51个FTC和114个FTA)。分析每个结节的超声特征。基于超声特征的单因素分析和逻辑回归结果,建立了FTN的甲状腺影像报告和数据系统(FTN-TIRADS)。每个结节分别由这四种RSS(欧洲甲状腺协会的RSS[EU-RSS]、美国甲状腺协会的RSS[ATA-RSS]、美国放射学会的TIRADS[ACR-TIRADS]、中国的TIRADS[C-TIRADS])和FTN-TIRADS进行评估和分类。进行受试者操作特征曲线分析,并使用受试者操作特征曲线下面积(AUC)来评估上述RSS的诊断价值。在验证组中验证FTN-TIRADS的诊断价值,并与测试组和其他四种RSS进行比较。计算并比较FTN-TIRADS与其他四种RSS之间的不必要细针穿刺(FNA)率。
测试组和验证组分别包括370例患者(86例男性患者)和165例患者(48例男性患者)。以下超声特征为独立危险因素并纳入FTN-TIRADS:结节成分、回声、钙化、晕环征、与甲状腺包膜边界不清。根据描述的可疑特征数量从无到五个,结节分别被分类为TR2、TR3、TR4a、TR4b、TR4c和TR5。FTN-TIRADS的AUC为0.855,在统计学上高于EU-RSS、ATA-RSS、ACR-TIRADS和C-TIRADS(分别为0.759、0.759、0.753和0.677)(所有p < 0.05)。验证组的FTN-TIRADS与测试组具有相似的诊断性能(AUC 0.879对AUC 0.855;p = 0.569)。FTN-TIRADS的不必要FNA率为41.4%,显著低于EU-RSS(67.3%)、ATA-RSS(69.0%)、ACR-TIRADS(60.1%)和C-TIRADS(63.2%)。
与目前的RSS相比,FTN-TIRADS对FTN实现了更好的鉴别诊断,并显著降低了不必要FNA的发生率。它可以作为一种可靠的术前无创评估工具用于甲状腺滤泡性肿瘤,减少不必要的FNA和不必要的手术。