机构地区:[1]东南大学医学院附属南京同仁医院心胸外科,南京211102
出 处:《国际肿瘤学杂志》2024年第9期569-577,共9页Journal of International Oncology
摘 要:目的探究非小细胞肺癌(NSCLC)肺内叶段淋巴结转移规律及全胸腔镜肺叶切除术(cVATS)中淋巴结清扫方式。方法选择2015年1月至2018年11月在东南大学医学院附属南京同仁医院经cVATS治疗的NSCLC患者244例,将2015年1月至2018年4月的患者定义为训练集(n=183),2018年5月至11月的患者定义为验证集(n=61);训练集用来建立模型,验证集用来评估模型性能。训练集中,根据淋巴结清扫方式,将患者分为系统性纵隔淋巴结清扫术(SML)组(n=93)和肺叶特异性淋巴结清扫术(LSND)组(n=90)。计算训练集患者的淋巴结转移率,比较淋巴结转移(n=55)与未转移(n=128)患者的临床资料。采用多因素logistic回归分析淋巴结转移的影响因素,根据多因素分析结果构建列线图预测模型,并对模型进行验证。比较训练集中SML组与LSND组患者的临床资料、围术期临床指标、总生存期(OS)以及术后并发症发生率。结果训练集中183例NSCLC患者淋巴结转移率为30.05%(55/183),转移淋巴结共328枚;第2~13组淋巴结中,第10(15.60%,44/282)、11(22.79%,98/430)以及12~13(15.25%,61/400)组淋巴结转移率最高。多因素分析显示,肿瘤最大径(OR=2.71,95%CI为1.82~4.09,P<0.001)、CT影像特征(OR=2.49,95%CI为1.59~6.99,P=0.001)、分化程度(OR=2.06,95%CI为1.11~3.81,P=0.010)、血清癌胚抗原(CEA)(OR=1.87,95%CI为1.42~2.58,P=0.015)、胸膜受侵(OR=1.81,95%CI为1.07~3.07,P=0.021)均是NSCLC患者发生淋巴结转移的独立影响因素。训练集和验证集的C-index分别为0.91(95%CI为0.88~0.97)和0.89(95%CI为0.84~0.96),两集的校准曲线均与理想曲线拟合良好。受试者操作特征曲线分析显示,列线图预测模型用于训练集与验证集患者鉴别诊断的曲线下面积分别为0.92(95%CI为0.87~0.96)和0.91(95%CI为0.85~0.98)。训练集中SML组与LSND组患者的手术时间[(203.08±38.26)min比(177.14±22.18)min,t=5.59,P<0.001]、术中失血量[(458.14±65.04)ml比(426.08±26.58)ml,t=4.34,P<0.Objective To explore the pattern of lymph node metastasis in the lung lobes of stageⅡa non-small cell lung cancer(NSCLC)and the lymph node dissection method during complete video-assisted thoracoscopic lobectomy surgery(cVATS).Methods A total of 244 patients with NSCLC who underwent cVATS treatment at Nanjing Tongren Hospital Affiliated to Southeast University School of Medicine from January 2015 to November 2018 were selected.Patients admitted from January 2015 to April 2018 were defined as the training set(n=183),and patients admitted from May 2018 to November 2018 were defined as the validation set(n=61).The training set was used to build the model,and the validation set was used to evaluate the performance of the model.In the training set,patients were divided into systematic meditational lymphadenectomy(SML)group(n=93)and lobe-specific systematic node dissection(LSND)group(n=90)based on lymph node dissection methods.The lymph node metastasis rate of patients in the training set was calculated,and the clinical data of patients with(n=55)and without(n=128)lymph node metastasis were compared.Multivariate logistic regression was used to analyze the influencing factors of lymph node metastasis,and a nomogram prediction model was constructed based on the results of the multivariate analysis,and the model was validated.Clinical data,perioperative clinical indicators,overall survival(OS),and incidence of postoperative complications were compared between the SML group and LSND group in the training set.Results In the training set,the lymph node metastasis rate of 183 patients with NSCLC was 30.05%(55/183),with a total of 328 metastatic lymph nodes;from the 2nd to the 13th groups of lymph nodes,the 10th(15.60%,44/282),the 11th(22.79%,98/430),and the 12th to the 13th(15.25%,61/400)groups had the highest lymph node metastasis rate.Multivariate analysis showed that maximum tumor diameter(OR=2.71,95%CI:1.82-4.09,P<0.001),CT imaging features(OR=2.49,95%CI:1.59-6.99,P=0.001),degree of differentiation(OR=2.06,95%CI:1.11-3.
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