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首页> 外文期刊>Journal of medical ultrasound. >Utility of ultrasound elastography to differentiate benign from malignant cervical lymph nodes
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Utility of ultrasound elastography to differentiate benign from malignant cervical lymph nodes

机译:超声弹性术的效用,从恶性颈淋巴结区分良性

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Background: The purpose of this study was to evaluate the usefulness of strain elastography and acoustic radiation force impulse (ARFI) imaging in the differentiation of benign and malignant cervical lymph nodes (LNs). Materials and Methods: In this prospective study, 50 enlarged cervical LNs (33 benign and 17 malignant) were examined by B-mode ultrasound (US), color Doppler, and strain elastography. Elastographic patterns (1–5) were categorized based on distribution of hard area within LN. The shear wave velocity (SWV) of LNs was evaluated by ARFI imaging. Diagnostic performance of sonoelastographic parameters was compared taking histopathology of LN as a reference standard. Optimal cutoff value of the mean SWV values for predicting malignancy was determined using receiver operating characteristic curve analysis. Results: Among US parameters, borders of LN had the highest diagnostic accuracy (80%), while echogenicity had the least (48%). Majority of benign LNs (n = 31) had elastography patterns 1 and 2, while majority of malignant LNs (n = 16) had patterns 3–5 (P = 0.000). The sensitivity, specificity, and accuracy of elastography were 94.1%, 93.9%, and 94%, respectively. The mean SWV of benign LNs (1.670 ± 0.367 m/s) differed significantly from malignant LNs (2.965 ± 0.826 m/s; P = 0.000). A cutoff value of 2.05 m/s predicted malignancy with 88.2% sensitivity and 84.8% specificity and gave an area under the curve of 0.949 (95% confidence interval: 0.70–1.20). Conclusion: Elastography has high diagnostic accuracy in differentiating benign and malignant cervical LNs and can be potentially useful in selecting the LN with high probability of malignancy, on which fine-needle aspiration cytology/biopsy can be performed.
机译:背景:本研究的目的是评估应变弹性成像和声辐射力脉冲(ARFI)成像在良性和恶性子宫颈淋巴结(LNS)的分化的有用性。材料和方法:在本前瞻性研究中,50扩大子宫颈淋巴结(33良性和恶性17)由B模式超声(US),彩色多普勒和应变弹性成像检查。基于内LN硬区域的分布格局弹性成像(1-5)进行分类。 LN的剪切波速(SWV)由ARFI成像评价。 sonoelastographic参数的诊断性能与服用LN的组织病理学作为参考标准。使用ROC曲线分析来确定用于预测恶性平均SWV值的最佳截止值。结果:US参数,LN的边界具有最高的诊断准确性(80%),而回声有最少(48%)。良性LN的多数(N = 31)有弹性成像图案1和2,而大多数恶性淋巴结的(N = 16)有图案3-5(P = 0.000)。的敏感性,特异性,和弹性成像的准确度分别为94.1%,93.9%和94%之间。良性LN的平均SWV(1.670±0.367米/ S)从恶性淋巴结显著差异(2.965±0.826米/ S; P = 0.000)。的2.05米的截断值/ s的预测与88.2%的灵敏度和84.8%的特异性和恶性0.949(95%置信区间:0.70-1.20)的曲线下得到的区域。结论:弹性成像具有良恶性子宫颈淋巴结诊断准确性高,并且可以是选择具有高概率的恶性肿瘤,在其上可以进行细针抽吸细胞学/活检LN潜在有用的。

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