Application of Thoracoscopic Radical Resection of Lung Cancer in the Clinical Treatment of Senile Non-small Cell Lung Cancer
Objective To analyze the clinical efficacy of thoracoscopic radical resection of lung cancer in elderly pa-tients with Nonsmall Cell Lung Cancer(NSCLC)and its influence on the prognosis of patients.Methods A total of 75 patients with NSCLC admitted to the Department of Thoracic Surgery of Linyi Cancer Hospital from November 2020 to November 2021 were conveniently selected as the research objects.According to different surgical methods,they were divided into the endoscopic group(n=38,thoracoscopic radical resection of lung cancer)and the thoracotomy group(n= 37,traditional open radical resection of lung cancer).The surgery-related indicators,complications,quality of life and pulmonary function improvement of the two groups were compared.Results There was no significant difference in the number of lymph node dissection between the two groups(P＞0.05);the postoperative drainage time,postoperative an-algesia time and hospitalization time of the endoscopic group were shorter than those of the thoracotomy group,and the differences were statistically significant(all P＜0.05);the quality of life score,forced vital capacity and forced expira-tory volume in 1 second in the endoscopic group were significantly higher than those in the thoracotomy group at 1 month and 3 months after surgery,and the differences were statistically significant(all P＜0.05);the incidence of com-plications in the endoscopic group(2.63%)was significantly lower than that in the thoracotomy group(21.62%),and the difference was statistically significant(χ2=4.730,P＜0.05).Conclusion Thoracoscopic radical resection of lung can-cer in elderly patients with NSCLC is clinically accurate,which can effectively reduce the incidence of complications,accelerate the recovery of patients'prognosis,and has the advantages of less trauma and rapid recovery.
ThoracoscopeRadical resection of lung cancerElderlyNon-small cell lung cancerSurvival situation
万方数据
维普
