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术前使用中性粒细胞与淋巴细胞比值及血小板与淋巴细胞比值鉴别卵巢良恶性肿块

Differentiation between benign and malignant ovarian masses in the preoperative period using neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios.

作者信息

Yildirim Melahat, Demir Cendek Busra, Filiz Avsar Ayse

机构信息

Department of Obstetrics and Gynecology, Ankara Ataturk Training and Research Hospital, Bilkent.

Department of Obstetrics and Gynecology, Sincan Dr. Nafiz Korez State Hospital, Sincan.

出版信息

Mol Clin Oncol. 2015 Mar;3(2):317-321. doi: 10.3892/mco.2014.481. Epub 2014 Dec 24.

Abstract

The aim of this study was to evaluate the association between preoperative neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) and the pathological diagnosis of adnexal masses. The predictive effect of inflammatory markers on epithelial ovarian cancer was also investigated. The present study included a total of 306 patients with adnexal masses who underwent surgical resection and the diagnosis was based on pathological investigation. The patients were divided into six groups based on their pathological findings and compared with respect to their NLR and PLR values. We used receiver-operating characteristic curves to calculate optimal cut-off values for NLR and PLR to predict ovarian cancer preoperatively. Patients with ovarian cancer exhibited significantly higher NLR and PLR values (P<0.05 and P<0.001, respectively). The multivariate analysis demonstrated that higher NLR and PLR values predicted ovarian cancer at the cut-off value of 3.35, sensitivity of 55% and specificity of 81% for NLR [95% confidence interval (CI): 0.544-0.752, P<0.05] and at the cut-off value of 572.9, sensitivity of 100% and specificity of 0.38% for PLR (95% CI: 0.192-0. 381, P=0.001). Therefore, preoperative NLR and PLR values may help identify ovarian cancer in patients with adnexal masses.

摘要

本研究旨在评估术前中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)与附件包块病理诊断之间的关联。同时还研究了炎症标志物对上皮性卵巢癌的预测作用。本研究共纳入306例接受手术切除的附件包块患者,诊断基于病理检查。根据病理结果将患者分为六组,并比较其NLR和PLR值。我们使用受试者工作特征曲线来计算NLR和PLR术前预测卵巢癌的最佳临界值。卵巢癌患者的NLR和PLR值显著更高(分别为P<0.05和P<0.001)。多因素分析表明,在临界值为3.35时,较高的NLR和PLR值可预测卵巢癌,NLR的敏感性为55%,特异性为81%[95%置信区间(CI):0.544 - 0.752,P<0.05];在临界值为572.9时,PLR的敏感性为100%,特异性为0.38%(95%CI:0.192 - 0.381,P = 0.001)。因此,术前NLR和PLR值可能有助于识别附件包块患者中的卵巢癌。

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