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Clinical utility of TIRADS and ultrasound elastography in characterization of thyroid nodules

机译:TIRADS和超声弹性成像在甲状腺结节表征中的临床应用

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Background: Thyroid nodules are a common entity in an iodine deficient population, however malignant nodules are relatively uncommon with excellent prognosis. Ultrasound elastography is a useful tool for characterization of nodules and allows selection of tumors for FNAC. This study aimed to evaluate the diagnostic value of strain elastography and acoustic radiation force impulse (ARFI) imaging in differentiating malignant from benign thyroid nodules. Methods: This study included 100 thyroid nodules evaluated using ultrasound TIRADS classification. Strain elastography evaluated the nodules using the elasticity score and strain ratio followed by VTI and shear wave velocity generated from ARFI data to characterize the nodules. Final diagnoses were obtained from cytological and/or histological evaluation. The diagnostic performance of the two elastography methods was analyzed and compared by multiple receiver operating characteristic curve analysis. Results: Of the 100 thyroid nodules observed in 100 patients (82 females and 18 males), 22% were malignant nodules and 78% were benign. The cut off values for elasticity scores, mean SR, VTI grade and mean SWV for predicting malignant thyroid nodules were greater than or equal to score 2, 2.4, grade 3, 2.5m/s respectively. The area under the receiver operating characteristic curve for elasticity score, mean SR, VTI grade and mean SWV was 0.79, 0.78, 0.89 and 0.84, respectively (P0.05) and the accuracy was 74, 81.6, 88 and 87.5%, respectively (P0.05). The accuracy of the combined use of conventional sonography, strain elastography and ARFI imaging was 85.6% respectively, which was higher than that of conventional sonography (P0.05). Conclusions: Strain elastography and ARFI imaging have high sensitivity and specificity for differentiating malignant from benign thyroid nodules and therefore have good clinical utility in evaluating these lesions.
机译:背景:甲状腺结节是缺碘人群中的常见个体,但是恶性结节相对较少见,预后良好。超声弹性成像是表征结节的有用工具,可为FNAC选择肿瘤。这项研究旨在评估应变弹性成像和声辐射力脉冲(ARFI)成像在鉴别甲状腺良性结节和恶性肿瘤中的诊断价值。方法:本研究包括使用超声TIRADS分类评估的100个甲状腺结节。应变弹性成像使用弹性得分和应变比,然后是VTI和从ARFI数据生成的剪切波速度来评估结节,以表征结节。从细胞学和/或组织学评估获得最终诊断。分析了两种弹性成像方法的诊断性能,并通过多接收器工作特性曲线分析进行了比较。结果:在100例患者中观察到的100个甲状腺结节(女性82例,男性18例)中,恶性结节占22%,良性结节占78%。预测恶性甲状腺结节的弹性评分,平均SR,VTI等级和平均SWV的临界值分别大于或等于2、2.4、3级,2.5m / s。接收器工作特性曲线下的弹性得分,平均SR,VTI等级和平均SWV的面积分别为0.79、0.78、0.89和0.84(P> 0.05),准确度分别为74、81.6、88和87.5%( P> 0.05)。常规超声,应变弹性成像和ARFI显像结合使用的准确性分别为85.6%,高于常规超声(P> 0.05)。结论:应变弹性成像和ARFI成像对区分良性甲状腺结节和恶性肿瘤具有很高的敏感性和特异性,因此在评估这些病变方面具有良好的临床实用性。

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