建立直径≤5cm的早中期非小细胞肺癌纵隔淋巴结转移的数学预测模型

Yiwei Fan, Weidong Ren, Hongcan Shi, Y. Shu, Shichun Lu, Chao Sun
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摘要

目的建立直径≤5 cm的早中期非小细胞肺癌(NSCLC)纵隔淋巴结转移的数学预测模型,提高肺癌术前分期的准确性。方法回顾性分析2012年1月~ 2017年8月扬州大学临床医学院胸外科收治的608例符合入选标准的非小细胞肺癌患者,采用SPSS随机数字发生器法按3∶1的比例随机分为建模组和验证组。利用模型组数据,通过单因素和多因素分析筛选纵隔淋巴结转移的独立危险因素,建立数学预测模型。使用验证组病例数据对模型进行外部验证,并与之前的模型进行比较。结果肿瘤大小、肿瘤位置(中枢性或外周性)、病理类型和胸膜牵拉是纵膈淋巴结转移的独立危险因素。建立的数学预测模型为P=ex/(1+ ex), x=-2.831+ (0.825×tumor直径)+ (1.53×central型)+ (0.779×pleural牵引标志)+ (1.883×pathological型)-(0.06×age)。Hosmer-Lemeshow检验显示预测值与实测值无显著差异。受试者工作特征曲线曲线下面积为0.763(95%CI: 0.697~0.829)。外部验证结果表明,与VA模型和复旦模型相比,本文提出的模型适用范围更广,精度更高。结论本研究建立的数学模型对直径≤5 cm的NSCLC纵隔淋巴结转移诊断具有较高的敏感性和特异性,其预测能力和准确性均高于其他同类模型。该模型允许更合理的临床决策是否执行进一步纵隔淋巴结。关键词:肺癌,非小细胞肺;淋巴转移;物流模式;临床验证
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Establishment of a mathematical predictive model of mediastinal lymph node metastasis in early or mid-term non-small cell lung cancer with diameter ≤5 cm
Objective To establish a mathematical prediction model of mediastinal lymph node metastasis in early or mid-term non-small cell lung cancer (NSCLC) with diameter ≤5 cm and improve the accuracy of preoperative staging of lung cancer. Methods A retrospective analysis of 608 patients with NSCLC meeting the inclusion criteria in the Department of Thoracic Surgery, Clinical Medical College of Yangzhou University from January 2012 to August 2017 was randomly divided into modeling and validation groups according to a 3∶1 ratio by SPSS random number generator method.Using the data of the model group, the independent risk factors of mediastinal lymph node metastasis were screened by single factor and multivariate analysis to establish the mathematical prediction model.External validation of the model was performed using validation group case data and compared with previous models. Results Multivariate tumor size, tumor location (central or peripheral), pathological type and pleural traction were independent risk factors for mediastinal lymph node metastasis.The mathematical predictive model established was P=ex/(1+ ex), x=-2.831+ (0.825×tumor diameter)+ (1.53×central type)+ (0.779×pleural traction sign)+ (1.883×pathological type)-(0.06×age). The Hosmer-Lemeshow test showed no significant difference between the predicted and observed values.The area under the curve for the receiver operating characteristic curve was 0.763(95%CI: 0.697~0.829). External verification results show that compared with the VA model and the Fudan model, the proposed model is applicable to a wider range and higher accuracy. Conclusions The mathematical model established in this study has high sensitivity and specificity for the diagnosis of mediastinal lymph node metastasis of NSCLC ≤5 cm in diameter, and its prediction ability and accuracy are higher than other similar models.This model allows for more rational clinical decisons on whether to perform further mediastinal lymph node. Key words: Carcinoma, non-small-cell lung; Lymphatic metastasis; Logistic models; Clinical verification
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