卵巢上皮性肿瘤患者术前中性粒细胞与淋巴细胞比值的关系

Shahana Rahman, S. Khatun, Dilruba Ferdous, Nazneen Choudhury, T. Nazneen, Reeta Rani Sarkar, Jannatul Ferdous
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引用次数: 0

摘要

目的:卵巢癌是全球妇女妇科癌症死亡的主要原因。肿瘤的无声生长和术前卵巢肿块评估相关的挑战是导致晚期表现的原因。本研究的目的是评估术前中性粒细胞与淋巴细胞比率(NLR)与卵巢上皮性肿瘤之间的关系。方法:选取符合入选标准的60例卵巢肿瘤患者作为研究人群。卵巢肿瘤随后经组织病理学分析诊断为卵巢恶性上皮性肿瘤或卵巢良性上皮性肿瘤。术前人口统计学和实验室变量的所有患者进行审查。术前NLR与卵巢良恶性上皮性肿瘤的相关性采用非配对t检验。采用受试者工作特征曲线计算NLR的最佳截断值,用于术前预测卵巢癌。p值<0.05认为差异有统计学意义。结果:组间年龄、绝经状态、NLR差异均有统计学意义(p=0.001,绝经状态p=0.007除外)。恶性卵巢肿瘤NLR值(3.47±1.52)明显高于良性卵巢肿瘤(p=0.001)。较高的NLR值预测卵巢癌的临界值为2.78,敏感性为75.6%,特异性为78.9% (95% CI, 0.97-1.0)。结论:恶性卵巢上皮性肿瘤与高NLR相关。术前NLR可能有助于预测卵巢恶性肿瘤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Preoperative Neutrophil to Lymphocyte Ratio in Patients with Epithelial Ovarian Tumor
Objective: Ovarian cancer is a leading cause of gynecological cancer death among women worldwide. Silent growth of the tumor and challenges associated with preoperative evaluation of an ovarian mass are responsible for late presentation. The aim of this study was to evaluate the association between preoperative neutrophil to lymphocyte ratio (NLR) and epithelial ovarian tumor. Methods: A total of 60 patients diagnosed with ovarian tumor who fulfilled the selection criteria were recruited as study population. The ovarian tumor was subsequently diagnosed by histopathological analysis as either malignant epithelial ovarian tumor or benign epithelial ovarian tumor. Preoperative demographic and laboratory variables are reviewed in all patients. Association of preoperative NLR was assessed in benign and malignant epithelial ovarian tumor using unpaired t test. Receiver operating characteristics curve was used to calculate optimal cut off value for NLR to predict ovarian cancer preoperatively. A p-value of <0.05 was considered to indicate statistically significant differences. Results: There was statistically significant difference between the groups in terms of age, menopausal status, and NLR (all p=0.001, except for menopausal status p=0.007). NLR value was significantly higher (3.47±1.52) in patients with malignant ovarian tumor (p=0.001) than that of benign ovarian tumor. Higher NLR value predicted ovarian cancer at the cut-off value of 2.78, with 75.6% sensitivity and 78.9% specificity (95% CI, 0.97-1.0). Conclusion: Malignant epithelial ovarian tumor is associated with higher NLR. Preoperative NLR may be helpful for prediction of malignant ovarian tumor.
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