Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Sci Rep. 2017 Jul 31;7(1):6906. doi: 10.1038/s41598-017-07353-y.
To investigate the diagnostic performance of combination of ultrasound (US) thyroid imaging reporting and data system (TI-RADS) and a new US scoring system for diagnosing thyroid nodules (TNs) with indeterminate results (Bethesda categories III, IV and V) on fine-needle aspiration (FNA) cytology. 453 patients with 453 cytologically indeterminate TNs were included in this study. Multivariate analyses were performed to construct the scoring system. The diagnostic performances of TI-RADS and the combined method were evaluated and compared. Multivariate analyses revealed that marked hypoechogenicity, taller than wide shape and absence of halo sign were independent predictors for malignancy in cytologically indeterminate TNs. Scoring system was thereafter defined as follows: risk score (RS) = 3.2 x (if marked hypoechogenicity) + 2.8 x (if taller than wide shape) + 1.3 x (if absence of halo sign). Compared with TI-RADS alone, the areas under the receiver operating characteristic curves (AUC), specificity, accuracy and positive predictive value (PPV) of the combined method increased significantly with 0.731 versus 0.569, 48.5% versus 14.1%, 76.2% versus 62.3%, and 70.9% versus 59.9%, respectively (all P < 0.05). The combination of TI-RADS and new US scoring system showed superior diagnostic performances in predicting malignant TNs with indeterminate FNA cytology results in comparison with TI-RADS alone.
目的:探讨联合超声(US)甲状腺影像报告和数据系统(TI-RADS)与新的 US 评分系统在细针穿刺细胞学检查(FNA)结果不确定的甲状腺结节(TNs)(Bethesda 类别 III、IV 和 V)中的诊断性能。
方法:本研究纳入了 453 例 453 个细胞学不确定的 TNs 患者。进行多变量分析以构建评分系统。评估并比较了 TI-RADS 和联合方法的诊断性能。
结果:多变量分析显示,明显低回声、高宽比和无晕征是细胞学不确定 TNs 恶性的独立预测因素。评分系统定义如下:风险评分(RS)=3.2 x(如果有明显低回声)+2.8 x(如果高宽比)+1.3 x(如果无晕征)。与 TI-RADS 单独相比,联合方法的受试者工作特征曲线(ROC)下面积(AUC)、特异性、准确性和阳性预测值(PPV)显著增加,分别为 0.731 比 0.569、48.5%比 14.1%、76.2%比 62.3%和 70.9%比 59.9%(均 P<0.05)。与 TI-RADS 单独相比,TI-RADS 联合新的 US 评分系统在预测具有不确定 FNA 细胞学结果的恶性 TNs 方面具有更好的诊断性能。
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