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一种用于鉴别宫颈良恶性淋巴结的超声弹性成像新评分的价值。

The value of a new score for sonoelastographic differentiation between benign and malignant cervical lymph nodes.

作者信息

Lenghel Lavinia Manuela, Bolboaca Sorana D, Botar-Jid Carolina, Baciut Grigore, Dudea Sorin M

机构信息

Radiology Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania.

出版信息

Med Ultrason. 2012 Dec;14(4):271-7.

Abstract

OBJECTIVE

The aim of this study is to explore the diagnostic value of sonoelastography for the differentiation between benign and malignant superficial lymph nodes of the neck. In this respect the utility of an original scoring system was explored.

MATERIAL AND METHOD

Over a period of 30 months the patients examined routinely for the assessment of superficial lymph nodes of the neck were recorded in a data base containing grey-scale, Doppler and sonoelastographic information and images. The sonoelastographic images of 30 benign and 39 malignant lymph nodes were assessed. The images were scored according to a new, eight pattern scoring system proposed by our group. Interobserver agreement and area under the ROC curve (AUROC) for the differentiation between benign vs. malignant and benign vs. metastatic nodes were analyzed.

RESULTS

The analysis of the interobserver agreement for the investigated score provided a weighted Kappa = 0.687, 95%CI [0.572 to 0.802] and standard error = 0.059. In the differentiation benign - malignant, the AUROC was 0.846, with sensitivity of 66.67% and specificity of 96.67% for score > 3. In the differentiation between benign and metastasis, the same criterion provided an AUROC of 0.855, with sensitivity of 71.43 and specificity of 96.67%.

CONCLUSIONS

Our study suggests that applying the proposed score provides good interobserver agreement. The score also provided very good specificity and reasonable sensitivity in the differentiation between malignant and benign lymph nodes in the neck.

摘要

目的

本研究旨在探讨超声弹性成像对颈部浅表淋巴结良恶性鉴别的诊断价值。在此方面,对一种原创评分系统的实用性进行了探索。

材料与方法

在30个月的时间里,将常规检查颈部浅表淋巴结的患者记录在一个包含灰阶、多普勒和超声弹性成像信息及图像的数据库中。对30个良性和39个恶性淋巴结的超声弹性成像图像进行评估。根据我们团队提出的一种新的八模式评分系统对图像进行评分。分析观察者间一致性以及用于鉴别良性与恶性、良性与转移性淋巴结的ROC曲线下面积(AUROC)。

结果

对所研究评分的观察者间一致性分析得出加权Kappa = 0.687,95%CI [0.572至0.802],标准误 = 0.059。在鉴别良性与恶性时,对于评分>3,AUROC为0.846,敏感性为66.67%,特异性为96.67%。在鉴别良性与转移性时,相同标准的AUROC为0.855,敏感性为71.43,特异性为96.67%。

结论

我们的研究表明,应用所提出的评分具有良好的观察者间一致性。该评分在鉴别颈部恶性与良性淋巴结时也具有非常好的特异性和合理的敏感性。

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