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    余泽森, 刘俊杰. 术前NLR、SII对阴茎鳞状细胞癌腹股沟淋巴结转移的预测价值[J]. 徐州医科大学学报, 2024, 44(6): 398-403. DOI: 10.3969/j.issn.2096-3882.2024.06.002
    引用本文: 余泽森, 刘俊杰. 术前NLR、SII对阴茎鳞状细胞癌腹股沟淋巴结转移的预测价值[J]. 徐州医科大学学报, 2024, 44(6): 398-403. DOI: 10.3969/j.issn.2096-3882.2024.06.002
    YU Zesen, LIU Junjie. Predictive value of preoperative NLR and SII for inguinal lymph node metastasis of squamous cell carcinoma of the penis[J]. Journal of Xuzhou Medical University, 2024, 44(6): 398-403. DOI: 10.3969/j.issn.2096-3882.2024.06.002
    Citation: YU Zesen, LIU Junjie. Predictive value of preoperative NLR and SII for inguinal lymph node metastasis of squamous cell carcinoma of the penis[J]. Journal of Xuzhou Medical University, 2024, 44(6): 398-403. DOI: 10.3969/j.issn.2096-3882.2024.06.002

    术前NLR、SII对阴茎鳞状细胞癌腹股沟淋巴结转移的预测价值

    Predictive value of preoperative NLR and SII for inguinal lymph node metastasis of squamous cell carcinoma of the penis

    • 摘要: 目的 探讨术前中性粒细胞与淋巴细胞比值(NLR)、系统免疫炎症指数(SII)在阴茎鳞状细胞癌(SCCP)患者腹股沟淋巴结转移预测中的应用价值。方法 回顾性分析2008年12月—2021年12月徐州医科大学附属医院收治的99例SCCP患者的临床资料,根据是否存在腹股沟淋巴结转移将其分为转移组(n=28)和未转移组(n=71)。采用单因素及多因素logistic回归分析腹股沟淋巴结转移的影响因素,通过受试者工作特征(ROC)曲线评估NLR、SII及两者联合对腹股沟淋巴结转移的预测效能。结果 转移组NLR、SII水平明显高于未转移组,多因素logistic回归分析显示分化程度低(OR=9.839,95%CI:2.078~46.591)、脉管浸润(OR=8.845,95%CI:1.544~46.250)、NLR(OR=2.838,95%CI:1.335~6.035)、SII(OR=1.003,95%CI:1~1.006)是SCCP患者腹股沟淋巴结转移的危险因素。ROC分析显示NLR、SII及联合指标预测SCCP患者腹股沟淋巴结转移的曲线下面积(AUC)分别为0.811、0.772、0.851,敏感度分别为0.893、0.643、0.929,特异度分别为0.606、0.845、0.648。结论 NLR、SII是SCCP患者腹股沟淋巴结转移的有效预测指标,单独及联合预测SCCP患者腹股沟淋巴结转移均有较好的效能,可为患者术前评估提供参考。

       

      Abstract: Objective To explore the application value of preoperative neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammatory index (SII) in predicting inguinal lymph node metastasis of squamous cell carcinoma of the penis (SCCP). Methods A total of 99 patients with SCCP who were admitted to the Affiliated Hospital of Xuzhou Medical University from December 2008 to December 2021 were selected and their clinical data were retrospectively analyzed. According to the presence of inguinal lymph node metastasis, they were divided into two groups: a metastasis group (n=28) and a non-metastasis group (n=71). The univariate and multivariate logistic regression analyses were conducted to screen out the influencing factors of inguinal lymph node metastasis. The predictive efficacy of NLR, SII and their combination on inguinal lymph node metastasis was assessed by the receiver operating characteristics (ROC) curve. Results The levels of NLR and SII were significantly higher in the metastasis group than in the non-metastasis group. Multivariate logistic regression analysis indicated that low-degree differentiation (OR=9.839, 95%CI: 2.078-46.591), lymph-vascular space invasion (OR=8.845, 95%CI: 1.544-46.250), NLR (OR=2.838, 95%CI: 1.335-6.035), and SII (OR=1.003, 95%CI: 1-1.006) were the risk factors for inguinal lymph node metastasis of SCCP. The ROC analysis showed that the area under the curve (AUC) of NLR, SII, and both for predicting the inguinal lymph node metastasis of SCCP were 0.811, 0.772, and 0.851, respectively. The sensitivity was 0.893, 0.643, and 0.929, respectively. The specificity was 0.606, 0.845, and 0.648, respectively. Conclusions NLR and SII are effective predictors for inguinal lymph node metastasis of SCCP. NLR and SII alone and both have good efficacy in predicting inguinal lymph node metastasis of SCCP, which provide reference for preoperative evaluation of patients.

       

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