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使用先进超声技术组合评估淋巴结:超微血管成像和剪切波弹性成像

Evaluation of Lymph Nodes Using a Combination of Advanced Sonographic Techniques: Superb Microvascular Imaging and Shear Wave Elastography.

作者信息

Seher Nusret, Nayman Alaaddin, Dilek İsmail, Erol Seyit, Arı Ayşe, Baytok Ahmet, Özer Halil, Uğraş Nevzat Serdar, Koplay Mustafa

机构信息

Department of Radiology, Medical Faculty, Selcuk University, Konya, Turkey.

Department of Pathology, Medical Faculty, Selcuk University, Konya, Turkey.

出版信息

J Clin Ultrasound. 2025 Jul-Aug;53(6):1213-1220. doi: 10.1002/jcu.23987. Epub 2025 Apr 2.

Abstract

PURPOSE

To evaluate the diagnostic performance of a novel combination of advanced sonographic techniques in distinguishing between malignant and benign lymph nodes.

METHODS

A total of 59 patients with enlarged lymph nodes were evaluated with conventional ultrasound (US), superb microvascular imaging (SMI), and shear wave elastography (SWE) even before ultrasound-guided percutaneous biopsy. Following the development of regression models, the diagnostic utility of univariate and multivariate parameters was evaluated using receiver operating characteristic (ROC) analysis.

RESULTS

Forty-one of the 59 lymph nodes were benign. The shortest diameter, longest diameter, elasticity (kPa), velocity (m/s), and vascularity index (VI) of malignant lymph nodes were all significantly higher than those of benign lymph nodes. In univariate analysis, the AUC values for VI and SDkPa were 0.793 and 0.818, respectively, with the short axis having the highest AUC of 0.910. The diagnostic accuracy value for SDkPa was the highest (0.88). The regression model with short axis, SDkPa, and VI variables had the best diagnostic performance in the multivariate analysis (AUC 0.967; 0.89 sensitivity, 0.95 specificity, 0.89 PPV, 0.95 NPV, and 0.93 accuracy).

CONCLUSION

The combination of SMI and SWE results in a highly reliable diagnostic model for differentiating between malignant and benign lymph nodes.

摘要

目的

评估先进超声技术的新型组合在鉴别恶性和良性淋巴结方面的诊断性能。

方法

在超声引导下经皮活检之前,对59例淋巴结肿大患者进行常规超声(US)、超微血管成像(SMI)和剪切波弹性成像(SWE)评估。在建立回归模型后,使用受试者操作特征(ROC)分析评估单变量和多变量参数的诊断效用。

结果

59个淋巴结中有41个为良性。恶性淋巴结的最短直径、最长直径、弹性(kPa)、速度(m/s)和血管指数(VI)均显著高于良性淋巴结。在单变量分析中,VI和SDkPa的AUC值分别为0.793和0.818,短轴的AUC最高,为0.910。SDkPa的诊断准确性值最高(0.88)。在多变量分析中,包含短轴、SDkPa和VI变量的回归模型具有最佳诊断性能(AUC 0.967;灵敏度0.89,特异性0.95,阳性预测值0.89,阴性预测值0.95,准确性0.93)。

结论

SMI和SWE的组合产生了一种高度可靠的诊断模型,用于区分恶性和良性淋巴结。

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