Yamamichi Takashi, Kakihana Masatoshi, Nitta Yasuyuki, Hamanaka Wakako, Kajiwara Naohiro, Ohira Tatsuo, Ikeda Norihiko
Department of Surgery, Tokyo Medical University, Tokyo, Japan.
J Thorac Dis. 2020 Oct;12(10):5420-5429. doi: 10.21037/jtd-20-1888.
Sonographic findings of lymph nodes on endobronchial ultrasonography (EBUS) images have been reported to be useful to predict lymph node metastasis (LNM) in lung cancer patients. F-18 fluorodeoxyglucose (FDG) uptake in lymph nodes was also found to be useful. In this study, we aimed to clarify whether a combination of sonographic features and maximum standardized uptake values of lymph nodes (LN-SUVmax) is useful for predicting LNM in lung cancer patients.
From January 2014 to December 2019, a total of 147 lymph nodes from 104 patients with lung cancer, who underwent preoperative EBUS and FDG-positron emission tomography (PET)/computed tomography (CT) followed by surgery were retrospectively assesses. The characteristics of the patients, LN-SUVmax, and sonographic findings of lymph nodes were reviewed. Predictive factors associated with LNM were identified using the logistic regression model.
The average size of the lymph nodes was 8.55 (range, 3-22) mm and the average LN-SUVmax was 5.36 (range, 1.79-31.19). The prevalence of nodal metastasis was 26/147 (17.4%), including 22 in mediastinal lymph nodes and 4 in hilar lymph nodes. Multivariate analysis demonstrated four independent predictive factors for LNM; size, round or oval shape, absence of a central hilar structure, and LN-SUVmax. The optimal cutoff value for lymph node size and LN-SUVmax were 10 mm and 6.00, respectively. By combinating of the two modalities, we obtained the results with sensitivity of 76.9%, specificity of 95.1% and accuracy of 93.2%.
A combination of sonographic findings and LN-SUVmax showed a higher diagnostic rate of LNM than either modality alone in lung cancer patients.
据报道,支气管内超声检查(EBUS)图像上淋巴结的超声表现有助于预测肺癌患者的淋巴结转移(LNM)。淋巴结的F-18氟脱氧葡萄糖(FDG)摄取也被发现是有用的。在本研究中,我们旨在阐明超声特征与淋巴结最大标准化摄取值(LN-SUVmax)的组合是否有助于预测肺癌患者的LNM。
回顾性评估了2014年1月至2019年12月期间104例肺癌患者术前接受EBUS和FDG正电子发射断层扫描(PET)/计算机断层扫描(CT)并随后接受手术的147个淋巴结。回顾了患者的特征、LN-SUVmax和淋巴结的超声表现。使用逻辑回归模型确定与LNM相关的预测因素。
淋巴结的平均大小为8.55(范围3-22)mm,平均LN-SUVmax为5.36(范围1.79-31.19)。淋巴结转移的发生率为26/147(17.4%),包括纵隔淋巴结22例和肺门淋巴结4例。多因素分析显示LNM有四个独立的预测因素;大小、圆形或椭圆形、无中央肺门结构和LN-SUVmax。淋巴结大小和LN-SUVmax的最佳截断值分别为10 mm和6.00。通过结合这两种方法,我们获得的结果敏感性为76.9%,特异性为95.1%,准确性为93.2%。
在肺癌患者中,超声表现和LN-SUVmax的组合显示出比单独任何一种方法更高的LNM诊断率。