Objective To discuss the safety, feasibility and advantages of tubeless trans-subxiphoid thoracoscopic surgery in anterior mediastinal tumor resection. Methods A total of 32 patients suffering anterior mediastinal tumor were enrolled, including 17 patients (8 males and 9 females) with average age of 31.8±8.4 years who had been performed tubeless trans-subxipohoid tharcoscopic surgery and 15 patients (8 males and 7 females) with average age of 31.1±9.2 years who had been performed traditional trans-subxipohoid tharcoscopic surgery. The differences of surgical duration, the lowest intraoperative arterial oxygen saturation (SaO2), postoperative awaking time, postoperative pain visual analogue score (VAS), postoperative pulmonary recruitment time, duration of postoperative hospital stay and hospitalization cost were analyzed. Results Postoperative awaking time (18.5±1.8 min vs. 28.9±4.2 min, P=0.000), postoperative VAS (1.6±0.6 vs. 3.5±7.4, P=0.000), duration of postoperative hospital stay (2.5±7.2 d vs. 4.3±1.1 d, P=0.000) and hospitalization cost (3.2±1.1 ten thousand RMB vs. 4.9±1.1 10 ten thousand RMB, P=0.000) in the tubeless group were better than those in the control group. There was no significant difference in surgical duration (51.7±6.5 min vs. 55.1±8.5 min), the lowest intraoperative SaO2 (98.5%±0.9% vs. 98.1%±0.8%), postoperative pulmonary recruitment time (33.9±12.2 d vs. 38.4±15.2 d, P>0.05) between the two groups.Conclusion Tubeless trans-subxiphoid thoracoscopic surgery is safe, feasible and advanced in anterior mediastinal tumor resection.
Objective To explore the independent risk factors for tumor invasiveness of ground-glass nodules and establish a tumor invasiveness prediction model. Methods A retrospective analysis was performed in 389 patients with ground-glass nodules admitted to the Department of Thoracic Surgery in the First Hospital of Lanzhou University from June 2018 to May 2021 with definite pathological findings, including clinical data, imaging features and tumor markers. A total of 242 patients were included in the study according to inclusion criteria, including 107 males and 135 females, with an average age of 57.98±9.57 years. CT data of included patients were imported into the artificial intelligence system in DICOM format. The artificial intelligence system recognized, automatically calculated and output the characteristics of pulmonary nodules, such as standard diameter, solid component size, volume, average CT value, maximum CT value, minimum CT value, central CT value, and whether there were lobulation, burr sign, pleural depression and blood vessel passing. The patients were divided into two groups: a preinvasive lesions group (atypical adenomatoid hyperplasia/adenocarcinoma in situ) and an invasive lesions group (minimally invasive adenocarcinoma/invasive adenocarcinoma). Univariate and multivariate analyses were used to screen the independent risk factors for tumor invasiveness of ground-glass nodules and then a prediction model was established. The receiver operating characteristic (ROC) curve was drawn, and the critical value was calculated. The sensitivity and specificity were obtained according to the Yorden index. Results Univariate and multivariate analyses showed that central CT value, Cyfra21-1, solid component size, nodular nature and burr of the nodules were independent risk factors for the diagnosis of tumor invasiveness of ground-glass nodules. The optimum critical value of the above indicators between preinvasive lesions and invasive lesions were –309.00 Hu, 3.23 ng/mL, 8.65 mm, respectively. The prediction model formula for tumor invasiveness probability was logit (P)=0.982–(3.369×nodular nature)+(0.921×solid component size)+(0.002×central CT value)+(0.526×Cyfra21-1)–(0.0953×burr). The areas under the curve obtained by plotting the ROC curve using the regression probabilities of regression model was 0.908. The accuracy rate was 91.3%. Conclusion The logistic regression model established in this study can well predict the tumor invasiveness of ground-glass nodules by CT and tumor markers with high predictive value.