中性粒细胞与淋巴细胞比值在预测非小细胞肺癌患者淋巴结转移中的应用价值。
Usefulness of the neutrophil-to-lymphocyte ratio in predicting lymph node metastasis in patients with non-small cell lung cancer.
作者信息
Huang Chongbiao, Yue Jie, Li Zengxun, Li Na, Zhao Jinkun, Qi Daliang
机构信息
Senior Ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Department of Pancreatic Carcinoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
出版信息
Tumour Biol. 2015 Sep;36(10):7581-9. doi: 10.1007/s13277-015-3462-7. Epub 2015 Apr 29.
Preoperative neutrophil-to-lymphocyte ratio (NLR) is a new hotspot for its prognostic significance in many types of cancers. In this study, a novel diagnosing model-the combination of enhanced contrast computed tomography (ECCT) and NLR (COCT-NLR) was constructed to detect the lymph nodal involvement in patients with non-small cell lung cancer (NSCLC). The clinicopathological parameters and thoracic ECCT images of 353 NSCLC patients were retrospectively reviewed. The COCT-NLR model was constructed and evaluated in detecting regional lymph nodal metastasis in patients with NSCLC. Univariate and multivariate analyses of clinicopathological parameters revealed that NLR value was independently associated with regional nodal involvement rate in patients with NSCLC (odds ratio (OR) = 4.770; 95 % confidence interval (CI), 2.487-9.146; P < 0.001). Compared with ECCT and NLR, the COCT-NLR model showed the highest efficacy in predicting nodal involvement. The sensitivity and specificity of COCT-NLR were 70.59 and 74.89 %, respectively. The COCT-NLR model is a valuable tool in detecting regional lymph node metastasis in patients with NSCLC.
术前中性粒细胞与淋巴细胞比值(NLR)因其在多种癌症中的预后意义而成为一个新的研究热点。在本研究中,构建了一种新型诊断模型——增强型计算机断层扫描(ECCT)与NLR的联合模型(COCT-NLR),以检测非小细胞肺癌(NSCLC)患者的淋巴结受累情况。回顾性分析了353例NSCLC患者的临床病理参数和胸部ECCT图像。构建COCT-NLR模型并评估其在检测NSCLC患者区域淋巴结转移中的作用。临床病理参数的单因素和多因素分析显示,NLR值与NSCLC患者的区域淋巴结受累率独立相关(比值比(OR)=4.770;95%置信区间(CI),2.487-9.146;P<0.001)。与ECCT和NLR相比,COCT-NLR模型在预测淋巴结受累方面显示出最高的效能。COCT-NLR的敏感性和特异性分别为70.59%和74.89%。COCT-NLR模型是检测NSCLC患者区域淋巴结转移的一个有价值的工具。