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@#Objective To summarize the perioperative outcome of patients undergoing robot-assisted thoracic surgery (RATS) or four-port single-direction video-assisted thoracic surgery (VATS) right upper lobectomy (RUL), and to discuss the safety and the essentials of the surgery. Methods The clinical data of 579 patients with non-small cell lung cancer (NSCLC) undergoing minimally invasive RUL in Dr. Luo Qingquan’s team of our center from 2015 to 2018 were retrospectively analyzed. There were 246 males and 333 females aged 33-78 years. The 579 patients were divided into a RATS group (n=283) and a VATS group (n=296) according to surgical methods. Baseline characteristics and perioperative outcomes including dissected lymph nodes, postoperative duration of drainage, postoperative hospital stay, postoperative complications and surgery cost were compared between the two groups. Results There was no significant difference in baseline data between the two groups (P>0.05), and no postoperative 30 d mortality or intraoperative blood transfusion was observed. Compared with VATS, RATS had shorter operation time (90.22±12.16 min vs. 92.68±12.26 min, P=0.016), postoperative hospital stay (4.67±1.43 d vs. 5.31±1.59 d, P<0.001) and time of drainage (3.55±1.38 d vs. 4.16±1.58 d, P<0.001). No significant difference was observed between the two groups in the lymph nodes dissection, blood loss volume, conversion rate or complications. The cost of RATS was much higher than that of VATS (93 275.46±13 276.69 yuan vs. 67 082.58±12 978.17 yuan, P<0.001). Conclusion The safety and effectiveness of robot-assisted and video-assisted RUL are satisfactory, and they have similar perioperative outcomes. However, RATS costs relatively shorter operation time and postoperative hospital stay.
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The mortality rate of lung cancer has been high all over the world. In recent years, targeted drugs have become a new and effective method for the treatment of advanced lung cancer, but the early diagnosis and long-term effective treatment are still great challenges in lung cancer. Circular RNA (circRNA) is a unique RNA molecule with ring structure, which exhibits excellent stability and expression specificity. Increasing studies found that the expression of several circRNAs in tumors were abnormal. This abnormal expression is not only related to malignancy of tumors, but also involved in regulating the progress of tumors, which provides a new way for the diagnosis and treatment of tumors. Therefore, this article reviews the expression, the diagnostic and prognostic value as well as pathogenesis of circRNAs in lung cancer in order to find new targets for early diagnosis and treatment of lung cancer. .
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Purpose To explore the independent predictors of malignant solitary pulmonary nodule (SPN) manifesting as ground-glass nodule (GGN),and to establish a prediction model.Materials and Methods The clinical data and CT images of 362 patients (group A) with pathological-confirmed SPN appearing as GGN in Shanghai Chest Hospital Shanghai Jiaotong University from January 2014 to December 2015 were retrospectively analyzed.The independent predictors of malignant SPN were identified,and the clinical prediction model was established.Another 119 SPN patients in Affiliated Zhoushan Hospital of Wenzhou Medical University were selected as group B to verify the diagnostic efficiency of the prediction model.Results Using multivariate Logistic regression analysis,clear border (OR=6.274,P＜0.01),smooth edge (OR=0.391,P＜0.01),lobulation (OR=3.387,P＜0.01),pleural retraction sign (OR=2.430,P＜0.01),and vocule sign (OR=3.076,P＜0.01)were identified as independent predictors of malignant SPN.The area of the model under the ROC curve was 0.859 with 95％ CI (0.804-0.903).The diagnostic accuracy rate,sensitivity,specificity,positive predictive value and negative predictive value were 85.92％,91.03％,81.97％,92.03％ and 73.53％,respectively.Conclusion In this study,the independent predictors of malignant SPN appearing as GGN were identified,and the prediction model was established.The model can accurately identify SPN and provide effective help for early diagnosis of SPN.