肺癌作为全球恶性肿瘤中发病率和死亡率较高的一种，手术是其主要治疗手段。然而，肺切除手术常引起肺功能下降，影响患者术后功能恢复及生活质量。准确预测术后肺功能对制定个体化手术方案、降低并发症风险及改善患者预后具有重要意义。目前，研究者已开发出多种结合临床指标、影像学参数及生物标志物的预测模型，用于评估肺癌患者术后肺功能变化。然而，现有模型在准确性、特异性、标准化及临床推广方面仍存在诸多挑战。本文系统综述肺癌术后肺功能的影响因素，并对现有预测模型进行总结与评价，以期为患者术前评估、手术方案选择及术后管理提供参考，进而为改善治疗效果与患者生活质量提供理论依据。

       Lung cancer is a kind of malignant tumor with high morbidity and mortality in the world，and surgery is the main treatment．However，pneumonectomy is often accompanied by the loss of lung function，which seriously affects the recovery of lung function and the  quality of life．Accurate prediction of postoperative pulmonary function is of great significance for formulating individualized surgical plans，reducing the risk of complications and improving the prognosis of patients．At present，researchers have developed a variety of predictive models that combine clinical indicators，imaging parameters，and biomarkers to evaluate postoperative lung function changes in patients with lung cancer．However，there are still many challenges in the accuracy，specificity，standardization and clinical promotion of existing models．This paper systematically reviews the influencing factors of lung function after lung cancer surgery，and summarizes and evaluates the existing prediction models，in order to provide a reference for preoperative evaluation，surgical plan selection and postoperative management of patients，and then provide theoretical basis for improving treatment effect and quality of life of patients．