Department of Ultrasound, The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning, Guangxi, China.
Clin Hemorheol Microcirc. 2019;72(1):95-106. doi: 10.3233/CH-180457.
The thyroid imaging reporting and data system (TI-RADS), classified and determined the risk of thyroid nodule malignancy with ultrasound scanning. Contrast-enhanced ultrasound (CEUS) is newly developed methods which could measure perfusion features.
The aim of the study was to investigate the value of diagnosing thyroid nodules using TI-RADS combined with CEUS and determine whether improvements were made to the diagnostic accuracy.
The features of conventional ultrasonography (US) and CEUS ion 117 case of thyroid nodules samples, which were confirmed by fine-needle aspiration and/or surgery, were retrospectively analyzed. The independent US and CEUS predictors for malignancy were determined and quantified using logistic regression analysis. The receiver operating characteristic (ROC) curve analysis was used to compare the diagnostic efficiency of each method in predicting malignant solid thyroid nodules.
The TI-RADS + CEUS combination had the highest accuracy (94.02%), sensitivity (94.74%), specificity (93.33%), PPV (93.10%) and NPV (94.92%), significantly greater than that of TI-RADS alone and CEUS alone (χ2 = 8.746, P < 0.001; χ2 = 9.825, P < 0.001). The area under the ROC curve (AUC) of TI-RADS alone, CEUS alone, and combined use of TI-RADS and CEUS were 0.871, 0.884, and 0.942, respectively. The following conventional US and CEUS features based on logistic regression analysis showed significant predictive value for thyroid malignant nodules: Obscure margin, calcification, hypoechoic, low enhancement, rim-like enhancement.
TI-RADS in combination with CEUS has superior diagnostic efficiency in the discrimination of benign and malignant thyroid lesions, compared with TI-RADS and CEUS alone.
甲状腺影像报告和数据系统(TI-RADS)通过超声扫描对甲状腺结节的恶性风险进行分类和确定。对比增强超声(CEUS)是一种新开发的方法,可以测量灌注特征。
本研究旨在探讨 TI-RADS 联合 CEUS 诊断甲状腺结节的价值,并确定其对诊断准确性的改善程度。
回顾性分析经细针抽吸活检和/或手术证实的 117 例甲状腺结节样本的常规超声(US)和 CEUS 特征。使用逻辑回归分析确定并量化独立的 US 和 CEUS 恶性预测因子。使用受试者工作特征(ROC)曲线分析比较每种方法预测恶性实性甲状腺结节的诊断效率。
TI-RADS+CEUS 联合具有最高的准确性(94.02%)、敏感性(94.74%)、特异性(93.33%)、PPV(93.10%)和 NPV(94.92%),显著高于 TI-RADS 单独和 CEUS 单独(χ2=8.746,P<0.001;χ2=9.825,P<0.001)。TI-RADS 单独、CEUS 单独和 TI-RADS 和 CEUS 联合使用的 ROC 曲线下面积(AUC)分别为 0.871、0.884 和 0.942。基于逻辑回归分析的以下常规 US 和 CEUS 特征显示对甲状腺恶性结节具有显著的预测价值:模糊边界、钙化、低回声、低增强、边缘样增强。
与 TI-RADS 和 CEUS 单独使用相比,TI-RADS 联合 CEUS 在鉴别良性和恶性甲状腺病变方面具有更高的诊断效率。