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实时超声弹性成像:评估颈部淋巴结肿大。

Real-time ultrasound elastography: an assessment of enlarged cervical lymph nodes.

机构信息

Department of Otolaryngology, Far Eastern Memorial Hospital, No. 21, Section 2, Nan-Ya South Road, Banqiao, New Taipei, Taiwan, 220.

出版信息

Eur Radiol. 2013 Sep;23(9):2351-7. doi: 10.1007/s00330-013-2861-7. Epub 2013 May 8.

Abstract

OBJECTIVES

To determine the efficacy of real-time elastography (RTE), compared with our previously proposed prediction model, in the detection of malignancy in cervical lymph nodes (LNs).

METHODS

One hundred and thirty-one patients underwent ultrasound-guided fine needle aspiration biopsy (ultrasound FNAB) after ultrasound and RTE evaluation. The formula of the RTE scoring system was a four-point visual scale, based on a previously determined model. The formula of the prediction model was: [Formula: see text]. An extended model was constructed with four previous predictors and elasticity scores, using a logistic regression model.

RESULTS

Final histology revealed 77 benign and 54 malignant LNs. In the elasticity score system, sensitivity was 66.7 %, specificity was 57.1 %, the positive predictive value (PPV) was 52.2 % and the negative predictive value (NPV) was 71.0 %. In the prediction model system, sensitivity was 79.6 %, specificity was 92.2 %, the PPV was 87.8 % and the NPV was 86.6 %. When the extended and the original model were compared, the areas under the receiver operating characteristic curve (c-statistic) was 0.94 and 0.95, respectively (P > 0.05).

CONCLUSIONS

Qualitative RTE offers no additional value over conventional ultrasound in predicting malignancy in cervical LNs.

KEY POINTS

• An ultrasound system can help in the assessment of cervical lymph nodes. • Grey-scale and power Doppler ultrasound remain fundamental for neck nodal evaluation. • Qualitative real-time elastography provided no additional value compared with current prediction models.

摘要

目的

与我们之前提出的预测模型相比,确定实时弹性成像(RTE)在检测颈部淋巴结(LNs)恶性肿瘤中的疗效。

方法

131 名患者在超声和 RTE 评估后接受超声引导下细针抽吸活检(超声 FNAB)。RTE 评分系统的公式是基于先前确定的模型的四点视觉量表。预测模型的公式为:[公式:见正文]。使用逻辑回归模型,构建了一个包含四个先前预测因子和弹性评分的扩展模型。

结果

最终组织学显示 77 个良性和 54 个恶性 LNs。在弹性评分系统中,灵敏度为 66.7%,特异性为 57.1%,阳性预测值(PPV)为 52.2%,阴性预测值(NPV)为 71.0%。在预测模型系统中,灵敏度为 79.6%,特异性为 92.2%,PPV 为 87.8%,NPV 为 86.6%。当比较扩展模型和原始模型时,受试者工作特征曲线下的面积(c 统计量)分别为 0.94 和 0.95(P>0.05)。

结论

定性 RTE 在预测颈部 LNs 恶性肿瘤方面与传统超声相比没有额外价值。

关键点

• 超声系统有助于评估颈部淋巴结。• 灰阶和能量多普勒超声仍然是颈部淋巴结评估的基础。• 与当前的预测模型相比,定性实时弹性成像没有提供额外的价值。

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