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find Author "QIN Yi" 2 results
  • Comparative study of pulmonary function retention after video-assisted thoracic surgery and robot-assisted thoracic surgery

    ObjectiveTo investigate the changes in pulmonary function after video-assisted thoracic surgery (VATS) and robot-assisted thoracic surgery (RATS) segmentectomy.MethodsA total of 59 patients (30 males and 29 females) who underwent segmentectomy in the Affiliated Hospital of Qingdao University from July to October 2017 were included. There were 33 patients (18 males and 15 females) in the VATS group and 26 patients (12 males and 14 females) in the RATS group. Lung function tests were performed before surgery, 1 month, 6 months, and 12 months after surgery. Intra- and inter-group comparisons of lung function retention values were performed between the two groups of patients to analyze differences in lung function retention after VATS and RATS segmentectomy.ResultsThe forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) in the VATS group and the RATS group were significantly lower than those before surgery (P<0.05), and they increased significantly within 6 months after surgery (P<0.05). The recovery was not obvious after 6 months (P>0.05), and they were still lower than those before surgery. In addition, the retentions of FEV1 and FVC in the VATS group and the RATS group were similar in 1 month, 6 months, and 12 months after operation with no statistical difference(P>0.05). ConclusionPulmonary function decreases significantly in 1 month after minimally invasive segmentectomy, and the recovery is obvious in 6 months after the operation, then the pulmonary function recovery gradually stabilizes 12 months after surgery. FEV1 of the patients in the two groups recovers to 93% and 94%, respectively. There is no statistical difference in pulmonary function retention after VATS and RATS segmentectomy.

    Release date:2020-07-30 02:32 Export PDF Favorites Scan
  • Clinical features and related factors for treatment of non-small cell lung cancer patients with long-term survival

    Objective To investigate the clinical features of non-small cell lung cancer (NSCLC) patients with long-term survival and the related factors for treatment. Methods A retrospective analysis of clinical features, treatment factors, and survival was performed for 963 patients with pathologically confirmed stage Ⅳ NSCLC between January 2010 and December 2015 from Department of Thoracic Oncology, West China Hospital, Sichuan University. Results The median overall survival (OS) of the 963 patients was 20.8 months, and the 1-, 3-, 5-, and 7-year survival rates were 72.0%, 21.4%, 15.2%, and 4.8%, respectively. There were 81 patients in the long-term survival group (OS>60 months) and 882 in the non-long-term survival group (OS<60 months). Previous surgery, thoracic radiotherapy and epidermal growth factor receptor (EGFR) gene positive significantly increased the 5-year actual survival rate, reducing the risk of death by 62.0%, 58.8%, and 58.1%, respectively. Compared with the non-long-term survival group, more patients in the long-term survival group received two or more means of treatment including surgery, thoracic radiotherapy, and targeted therapy (28.4% vs. 11.6%, P<0.001) and more patients benefited from fourth- or further-line treatment (24.7%vs. 11.1%, P<0.001). Cox multivariate regression analysis indicated that performance status [hazard ratio (HR)=1.388, 95% confidence interval (CI) (1.199, 1.608), P<0.001] , N stage [HR=1.160, 95%CI (1.058, 1.272), P=0.002] , EGFR gene status [HR=0.588, 95%CI (0.469, 0.738), P<0.001] , previous surgery [HR=0.626, 95%CI (0.471, 0.832), P=0.001] , and thoracic radiotherapy [HR=0.592, 95%CI (0.480, 0.730), P<0.001] were independent prognostic factors of OS. Conclusions Good performance status, early N staging, EGFR mutation, previous surgery, and thoracic radiotherapy are important prognostic factors affecting the survival of advanced NSCLC patients. Long-term survival benefits from combined treatment and effective further-line therapies.

    Release date:2019-01-23 01:20 Export PDF Favorites Scan
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