首页|喉癌患者低温等离子刀射频消融术后复发的风险因素与Nomogram预测模型

喉癌患者低温等离子刀射频消融术后复发的风险因素与Nomogram预测模型

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目的 探讨喉癌患者低温等离子刀射频消融术后复发的危险因素,并构建Nomogram预测模型.方法 回顾性分析2018年1月至2021年6月在郑州大学第一附属医院行低温等离子刀射频消融术的483例喉癌患者的临床资料,按照2∶1比例将患者随机分为建模集(322例)和验证集(161例).统计术后复发情况,采用单因素和多因素logistic回归分析建模集喉癌患者低温等离子刀射频消融术后复发的危险因素,并采用R软件构建Nomogram预测模型,并采用受试者工作特征(ROC)曲线、一致性指数、校准曲线、决策曲线评价模型的预测效能和临床实用性.结果 483例喉癌患者低温等离子刀射频消融术后随访时间为24~66个月,复发率为15.32%(74/483),建模集和验证集一般资料比较,差异无统计学意义(P>0.05).logistic回归分析结果显示,T1b~T2期、低分化、肿瘤侵犯前联合、肿瘤侵犯声门下均是喉癌患者低温等离子刀射频消融术后复发的危险因素(P<0.05).Bootstrap内部验证结果显示,Nomogram预测模型在建模集和验证集中的一致性指数分别为 0.812(95%CI:0.797~0.838)、0.805(95%CI:0.788~0.830);ROC 曲线显示,Nomogram预测模型在建模集和验证集中预测术后复发的曲线下面积分别为0.795(95%CI:0.728~0.852)、0.781(95%CI:0.713~0.839),说明该Nomogram预测模型具有良好的区分度.校准曲线显示,Nomogram预测模型在建模集和验证集中的预测术后复发概率与实际术后复发概率拟合良好.决策曲线显示,在建模集和验证集中,当阈概率分别在2%~99%、9%~90%时,Nomogram预测模型具有良好的净受益.结论 T1b~T2期、低分化、肿瘤侵犯前联合、肿瘤侵犯声门下均是喉癌患者低温等离子刀射频消融术后复发的危险因素,基于以上 4项危险因素构建的Nomogram预测模型具有良好的预测效能和临床实用性.
Risk Factors and Nomogram Prediction Model for Recurrence After Low-Temperature Plasma Radiofrequency Ablation in Laryngeal Cancer Patients
Objective To explore the risk factors for recurrence in patients with laryngeal cancer after low-temperature plasma radiofrequency ablation,and to construct a Nomogram prediction model.Methods A retrospective analysis was conducted on the clinical data of 483 patients with laryngeal cancer who underwent low-temperature plasma radiofrequency ablation in the First Affiliated Hospital of Zhengzhou University from January 2018 to June 2021.The patients were randomly divided into a modeling set(322 cases)and a validation set(161 cases)in a 2∶1 ratio.The risk factors of postoperative recurrence in laryngeal cancer patients undergoing low-temperature plasma radiofrequency ablation were analyzed using univariate and multivariate logistic regression analysis.The Nomogram prediction model was constructed using R software,and the predictive efficacy and clinical practicality of the model were evaluated using the receiver operating characteristic(ROC)curve,consistency index,calibration curve,and decision curve.Results The follow-up time of 483 patients with laryngeal cancer after low-temperature plasma radiofrequency ablation was 24-66 months,with a recurrence rate of 15.32%(74/483).There was no statistically significant difference in general data between the modeling set and the validation set(P>0.05).The results of logistic regression analysis showed that T1b-T2 stage,low differentiation,tumor invasion before union and tumor invasion under the glottis were all risk factors for recurrence in laryngeal cancer patients after low-temperature plasma radiofrequency ablation(P<0.05).The internal validation results of Bootstrap showed that the consistency indices of the Nomogram prediction model in the modeling set and validation set were 0.812(95%CI:0.797-0.838)and 0.805(95%CI:0.788-0.830),and the ROC curve showed that the area under the curve for predicting postoperative recurrence using the Nomogram prediction model in the modeling set and validation set was 0.795(95%CI:0.728-0.852)and 0.781(95%CI:0.713-0.839),indicating that the Nomogram prediction model had good discrimination.The calibration curve showed that the Nomogram prediction model fitted well with the actual postoperative recurrence probability in the modeling set and validation set.The decision curve showed that the Nomogram prediction model had good net benefits when the threshold probabilities were between 2%-99%and 9%-90%in the modeling set and validation set,respectively.Conclusion T1b-T2 stage,low differentiation,pre invasion union and tumor invasion subglottic are all risk factors for recurrence in laryngeal cancer patients after low-temperature plasma radiofrequency ablation.The Nomogram prediction model constructed based on the above four risk factors has good predictive efficacy and clinical practicality.

laryngeal cancerlow temperature plasma kniferadiofrequency ablationrecurrencerisk factorprediction model

高长辉、王乐、尚伟

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郑州大学第一附属医院咽喉头颈外科,河南郑州 450000

郑州大学第一附属医院耳科,河南郑州 450000

喉癌 低温等离子刀 射频消融术 复发 风险因素 预测模型

河南省医学科技攻关计划

SBGJ202103062

2024

河南医学研究
河南省医学科学院

河南医学研究

影响因子:0.979
ISSN:1004-437X
年,卷(期):2024.33(13)
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