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通过多参数超声对甲状腺微小乳头状癌进行术前预测。

Preoperative prediction of papillary thyroid microcarcinoma via multiparameter ultrasound.

作者信息

Ma Hui Juan, Yang Jing Chun, Leng Zhen Peng, Chang Ying, Kang Hua, Teng Liang Hong

机构信息

1 Department of Ultrasound, Xuanwu Hospital, Capital Medical University, Beijing, PR China.

2 Department of Surgery, Xuanwu Hospital, Capital Medical University, Beijing, PR China.

出版信息

Acta Radiol. 2017 Nov;58(11):1303-1311. doi: 10.1177/0284185117692167. Epub 2017 Feb 14.

Abstract

Background Accurate diagnosis of papillary thyroid microcarcinoma (PTMC) is important for further management. Ultrasound (US) is the most frequently used imaging modality for PTMC. Purpose To evaluate the diagnostic value of conventional US, contrast-enhanced ultrasound (CEUS) and real-time elastography (RTE) for patients with PTMC. Material and Methods In total, 135 patients with subcentimeter thyroid nodules who underwent conventional US, CEUS, and RTE before surgery were enrolled. A multivariate logistic regression analysis was performed to assess the independent predictors of PTMC. The diagnostic performances of conventional US, CEUS, and RTE were evaluated with a receiver operating characteristic (ROC) curve analysis. Results A taller-than-wide shape was identified as the strongest predictor of PTMC (odds ratio [OR], 25.21), followed by heterogeneous enhancement (OR, 24.03), marked hypoechogenicity (OR, 21.71), poorly defined margin (OR, 5.51), strain ratio (OR, 2.59), and age (OR, 0.92; all P values < 0.05). Heterogeneous enhancement on CEUS showed the highest positive predictive value (PPV; 88.0%) and an accuracy of 83.7%. A logistic regression model was created to predict PTMC using conventional US, CEUS, and RTE. The area under the ROC curve was 0.97, with a sensitivity of 88.6% and a specificity of 94.6%. Conclusion Conventional US combined with CEUS and RTE can improve the diagnostic accuracy of PTMC.

摘要

背景 准确诊断甲状腺微小乳头状癌(PTMC)对进一步治疗很重要。超声(US)是PTMC最常用的成像方式。目的 评估常规超声、超声造影(CEUS)和实时弹性成像(RTE)对PTMC患者的诊断价值。材料与方法 总共纳入了135例术前接受常规超声、CEUS和RTE检查的甲状腺结节直径小于1厘米的患者。进行多因素逻辑回归分析以评估PTMC的独立预测因素。采用受试者操作特征(ROC)曲线分析评估常规超声、CEUS和RTE的诊断性能。结果 纵横比大于1被确定为PTMC最强的预测因素(优势比[OR],25.21),其次是不均匀增强(OR,24.03)、显著低回声(OR,21.71)、边界不清(OR,5.51)、应变比(OR,2.59)和年龄(OR,0.92;所有P值<0.05)。CEUS上的不均匀增强显示出最高的阳性预测值(PPV;88.0%)和83.7%的准确率。建立了一个使用常规超声、CEUS和RTE预测PTMC的逻辑回归模型。ROC曲线下面积为0.97,灵敏度为88.6%,特异度为94.6%。结论 常规超声联合CEUS和RTE可提高PTMC的诊断准确性。

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