Clinical efficacy and safety of thoracoscopic assisted small incision surgery and total thoracoscopic surgery in the treatment of patients with non-small cell lung cancer
Objective To explore the clinical efficacy and safety of thoracoscopic assisted small incision surgery and total thoracoscopic surgery in the treatment of patients with non-small cell lung cancer(NSCLC).Method A total of 108 NSCLC patients were divided into study group(n=56,total thoracoscopic surgery)and control group(n=52,thoracoscop-ic assisted small incision surgery)according to different surgical methods.The clinical efficacy,surgery-related indexes,tumor markers[carbohydrate antigen(CA)125,CA50,cyto-keratin 19 fragment antigen 21-1(CYFRA21-1),squamous cell carcinoma antigen(SCC-Ag)]levels and complications were compared between the two groups.Result There were no significant differences in the total effective rate and incidence of complications between the two groups(P＞0.05).The intraoperative blood loss in the study group was significantly less than that in the control group,the postoperative drain-age time was significantly shorter than that in the control group,and the visual analogue scale(VAS)score one day after surgery was significantly lower than that in the control group,and the differences were statistically significant(P＜0.01).Three days after surgery,the levels of SCC-Ag,CYFRA21-1,CA125 and CA50 in both groups were lower than those be-fore surgery,and the differences were statistically significant(P＜0.05).Three days after surgery,there were no significant differences in the levels of SCC-Ag,CYFRA21-1,CA125 and CA50 between the two groups(P＞0.05).Conclusion Thoracoscopic assisted small incision surgery and total thoracoscopic surgery have similar clinical efficacy and safety in the treatment of NSCLC patients,both of which can reduce the level of tumor markers,while total thoracoscopic surgery can reduce intraoperative blood loss,shorten postoperative drainage time,relieve pain,and be more conducive to postop-erative recovery of patients.
万方数据
维普
