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Updated: Jan 18, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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为预测T4N0M0NSCLC的术后存活率开发和验证一种新型的诺莫格拉姆模型:基于人口的存活分析

Tianjian Lu1, Nan Chen1, Zhe Wang2

  • 1Department of Thoracic Surgery and Institute of Thoracic Oncology, West China Hospital, Sichuan University.

International journal of surgery (London, England)
|September 10, 2025
PubMed
概括

这项研究开发了一种名谱,用于预测手术后T4N0M0非小细胞肺癌 (NSCLC) 患者的生存率. 经过验证的模型有助于对这些NSCLC患者进行风险分层和个性化治疗.

关键词:
在NSCLCLC中,我们可以看到.预后 预测 预测 预测手术 手术 手术 手术 手术 手术 手术

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