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首页> 外文期刊>Medicine. >Nomogram to Predict Occult N2 Lymph Nodes Metastases in Patients With Squamous Nonsmall Cell Lung Cancer
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Nomogram to Predict Occult N2 Lymph Nodes Metastases in Patients With Squamous Nonsmall Cell Lung Cancer

机译:NOMAG图预测毒性NONSMALL细胞肺癌患者中的胚芽N2淋巴结转移

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摘要

For nonsmall cell lung cancer (NSCLC) patients without distant metastases, occult involvement of N2 lymph nodes would be of the utmost importance in determining both treatment and survival. The key to optimal treatment strategies relied on accurate diagnosis, in particular accurate clinical tumor staging. Patients with clinical N0 or N1 staging preoperatively had a sizeable risk to have occult N2 lymph nodes metastases.From November 2004 to March 2007, the entire database in a tertiary hospital of all patients with a pathologic diagnosis of squamous NSCLC underwent anatomical pulmonary resection and systematic mediastinal lymph node dissection were retrospectively collected and reviewed. A nomogram was developed on the basis of a multivariable logistic regression model with a combination of all potential variables. In order to surmount the potential of overestimating predictive performance, both bootstrapping for internal validation and an independent external validation set were employed.A nomogram incorporating the significant risk factors was created to predict the probability of occult N2 lymph nodes metastases. The calibration plot for the probability of occult N2 lymph nodes metastases showed an optimal agreement between the predicted probabilities by nomogram and actual observed probabilities. An objective and accurate nomogram predictive model for occult N2 lymph nodes metastases was drawn up and validated internally and externally in patients with squamous NSCLC.The nomogram model, as a robust tool in predicting occult N2 lymph nodes involvement, could be involved in a cost-effective application of specific diagnostic and therapeutic strategies.
机译:对于不远处转移的非球体细胞肺癌(NSCLC)患者,N2淋巴结的神经涉及N2淋巴结将是确定治疗和存活的最重要。最佳治疗策略的关键依赖于准确的诊断,特别是准确的临床肿瘤分期。临床N0或N1术前术前术前患者具有巨大的风险来具有潜水N2淋巴结转移。从2004年11月到2007年3月,整个数据库在所有患者的一家患者的鳞状NSCLC病理诊断接受解剖学肺切除和系统的病理诊断回顾性收集和审查纵隔淋巴结解剖。基于多变量的逻辑回归模型开发了一个铭文图,其组合了所有潜在的变量。为了超越高估预测性能的潜力,采用了内部验证的自动启动和独立的外部验证集。结合着抑制了显着的风险因素以预测隐匿N2淋巴结转移的可能性。用于隐匿性N2淋巴结转移的概率的校准图显示了通过NOM图和实际观察到的概率之间的预测概率之间的最佳协议。隐匿性N2淋巴结转移的客观和准确的载体预测模型并在内部和外部验证鳞状NSCLC的患者。作为预测隐匿性N2淋巴结参与的鲁棒工具,可以涉及到成本 - 有效应用特定诊断和治疗策略。

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  • 来源
    《Medicine.》 |2015年第46期|共8页
  • 作者单位

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

    Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;
  • 关键词

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