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Endosonographic features predictive of malignancy in mediastinal lymph nodes in patients with lung cancer.

机译:内镜检查特征可预测肺癌患者纵隔淋巴结中的恶性肿瘤。

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BACKGROUND: EUS is useful in determining mediastinal lymph node (LN) metastases in patients undergoing staging for lung cancer. However, FNA of LNs is often performed only if suspicious features are present. The utility of individual LN features in predicting malignant cytology remains unclear. OBJECTIVE: To evaluate the utility of EUS-determined LN features for predicting malignant cytology. DESIGN: Prospective observational study. SETTING: Two U.S. tertiary-care centers. PATIENTS: This study involved 425 patients with primary lung cancer who underwent EUS. INTERVENTION: All mediastinal LNs were described according to size, shape, echogenicity, and margin characteristics. FNA was performed on LNs with any features suggestive of malignancy. EUS-guided FNA cytology was classified as benign or abnormal (suspicious/malignant). The utility of LN features in predicting malignant cytology was determined and further analyzed by logistic regression, and a predictive model was established. MAIN OUTCOME MEASUREMENTS: Accuracy of individual LN features for predicting malignancy. RESULTS: EUS detected 836 LNs in 425 patients, and FNA was obtained in 698 patients. On multivariable analysis, only round shape, a short axis of >8.3 mm, and sharp margins were predictive of malignant cytology. According to the predictive model, the calculated probability of having malignancy is less than 4% (95% confidence interval [CI], 0.022-0.064) when none of the LN features are present and 63% (95% CI, 51%-72.2%) when all features were seen. LIMITATIONS: No surgical histology as the criterion standard. CONCLUSION: Among patients with lung cancer, EUS features of round shape, sharp margins, and short axis of >8.3 mm are significant predictors of malignancy. The probability of malignancy is low when none of the features are present.
机译:背景:EUS可用于确定接受肺癌分期的患者的纵隔淋巴结(LN)转移。但是,只有存在可疑特征时,才经常执行LN的FNA。尚不清楚单个LN功能在预测恶性细胞学方面的用途。目的:评估由EUS确定的LN特征在预测恶性细胞学方面的实用性。设计:前瞻性观察研究。地点:两个美国三级护理中心。患者:这项研究包括了425例接受EUS的原发性肺癌患者。干预:所有纵隔LNs均根据大小,形状,回声和边缘特征进行了描述。对具有任何暗示恶性特征的LN进行FNA。 EUS指导的FNA细胞学检查分为良性或异常(可疑/恶性)。确定了LN特征在预测恶性细胞学中的效用,并通过逻辑回归进一步分析,并建立了预测模型。主要观察指标:单个LN功能预测恶性肿瘤的准确性。结果:EUS在425例患者中检测到836个LN,并在698例患者中获得了FNA。在多变量分析中,只有圆形,短轴> 8.3 mm和边缘清晰可预示恶性细胞学。根据预测模型,当不存在任何LN特征时,计算出的发生恶性肿瘤的概率小于4%(95%置信区间[CI],0.022-0.064),而小于63%(95%CI,51%-72.2) %)显示所有功能。局限性:无手术组织学作为标准标准。结论:在肺癌患者中,圆形,尖锐边缘和短轴> 8.3mm的EUS特征是恶性肿瘤的重要预测指标。当这些特征都不存在时,恶性肿瘤的可能性低。

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