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子宫颈癌ⅢC1期患者术后生存列线图构建及其临床应用价值分析
陈秀杰, 何玉, 胡晓文, 吴盼盼, 朱曼曼
中国实用妇科与产科杂志 ›› 2025, Vol. 41 ›› Issue (7) : 742-746.
PDF(1378 KB)
PDF(1378 KB)
子宫颈癌ⅢC1期患者术后生存列线图构建及其临床应用价值分析
Construction of postoperative survival nomogram in patients with stage ⅢC1 cervical cancer and analysis of its clinical application value
目的 探讨子宫颈癌ⅢC1期患者的预后影响因素,建立列线图以探讨其在预后评估中的价值。方法 以2016年1月至2020年12月于蚌埠医科大学第一附属医院行子宫颈癌根治术并经术后病理诊断为子宫颈癌ⅢC1期的95例患者为研究对象,通过COX风险回归分析筛选子宫颈癌ⅢC1期患者的预后影响因素,并建立列线图,采用校准曲线、受试者工作特征(ROC)曲线和决策曲线分析(DCA)对其进行评价。结果 肿瘤直径≥4cm、宫旁受累、淋巴结比率(LNR)≥0.22是子宫颈癌ⅢC1期患者3年总生存率(OS)的危险因素;肿瘤直径≥4cm、淋巴脉管间隙浸润、LNR≥0.22是子宫颈癌ⅢC1期患者3年无病生存率(DFS)的危险因素。列线图的校准曲线显示该模型预测准确度高,ROC曲线表明模型具有良好的准确率,DCA曲线显示该模型具有较好的临床应用价值。结论 肿瘤直径、LNR、宫旁受累、淋巴脉管间隙浸润是影响子宫颈癌ⅢC1期患者预后的危险因素。所构建的列线图可能有利于指导医生对其进行分层管理,采取综合治疗以期改善预后。
Objective To analyze factors affecting the prognosis of patients with stage ⅢC1 cervical cancer and to develop a nomogram for exploring its value in prognosis evaluation. Methods A total of 91 patients with pathological diagnosis of stage ⅢC1 cervical cancer were included as research subjects, who underwent radical hysterectomy at the First Affiliated Hospital of Bengbu Medical University between January 2016 and December 2020. Prognostic factors were identified using Cox proportional hazards regression analysis, and a nomogram was constructed. The nomogram was evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Results Tumor diameter ≥4cm, paracervical involvement, and lymph node ratio (LNR) ≥0.22 were the risk factors for 3-year OS of the patients with stage ⅢC1 cervical cancer. Tumor diameter ≥4cm, lymphovascular space invasion (LVSI), and LNR ≥0.22 were the risk factors for 3-year DFS of the patients with stage ⅢC1 cervical cancer. The calibration curves of nomogram demonstrated high prediction accuracy of this model, the ROC curves showed high predictive accuracy of the model, and DCA curve confirmed the clinical utility of the model. Conclusions Tumor size, LNR, paracervical involvement, and LVSI are risk factors affecting the prognosis of the patients with stage ⅢC1 cervical cancer. The constructed nomogram may help to guide doctors in stratification management and to take comprehensive treatment in order to improve patient outcomes.
stage ⅢC1 cervical cancer / prediction model / nomogram / prognosis
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