Objective To explore the CT imaging features and independent risk factors for cystic pulmonary nodules and establish a malignant probability prediction model. Methods The patients with cystic pulmonary nodules admitted to the Department of Thoracic Surgery of the First People&#39;s Hospital of Neijiang from January 2017 to February 2022 were retrospectively enrolled. They were divided into a malignant group and a benign group according to the pathological results. The clinical data and preoperative chest CT imaging features of the two groups were collected, and the independent risk factors for malignant cystic pulmonary nodules were screened out by logistic regression analysis, so as to establish a prediction model for benign and malignant cystic pulmonary nodules. Results A total of 107 patients were enrolled. There were 76 patients in the malignant group, including 36 males and 40 females, with an average age of 59.65±11.74 years. There were 31 patients in the benign group, including 16 males and 15 females, with an average age of 58.96±13.91 years. Multivariate logistic analysis showed that the special CT imaging features such as cystic wall nodules [OR=3.538, 95%CI (1.231, 10.164), P=0.019], short burrs [OR=4.106, 95%CI (1.454, 11.598), P=0.008], cystic wall morphology [OR=6.978, 95%CI (2.374, 20.505), P<0.001], and the number of cysts [OR=4.179, 95%CI (1.438, 12.146), P=0.009] were independent risk factors for cystic lung cancer. A prediction model was established: P=ex/(1+ex), X=–2.453+1.264×cystic wall nodules+1.412×short burrs+1.943×cystic wall morphology+1.430×the number of cysts. The area under the receiver operating charateristic curve was 0.830, the sensitivity was 82.9%, and the specificity was 74.2%. Conclusion Cystic wall nodules, short burrs, cystic wall morphology, and the number of cysts are the independent risk factors for cystic lung cancer, and the established prediction model can be used as a screening method for cystic pulmonary nodules.

Objective    To predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. Methods    We analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. Results    Finally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. Conclusion    This study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.

Objective    To compare the subaxillary small incision thoracotomy (SSIT) with video-assisted thoracic surgery (VATS) for patients with lung cancer. Methods    Retrospective analysis of 142 patients with lung cancer in Department of Thoracic Surgery, The First People&#39;s Hospital of Neijiang from January 2014 to April 2016 was conducted. There were 86 males and 56 females, aged 40-77 years. Patients were divided into a VATS group (n=72) and a SSIT group (n=70). The following postoperative data were evaluated: operation time, number of dissected lymph nodes, intraoperative bleeding, postoperative chest drainage volume, drainage duration, postoperative ambulation time, average hospital stay, postoperative complications, hospitalization cost, early postoperative incision pain (visual analogue scale, VAS) and other indicators. Results    There were no statistically significant differences between the two groups in the operation time (120.8±20.4 min vs. 126.2±21.6 min, P=0.124), the dissected lymph node (11.1±2.0 vs. 11.4±1.9, P=0.333) and the postoperative complications rate (13.9% vs. 15.7%, P=0.759). Laparoscopic intraoperative bleeding and postoperative drainage volume were significantly less in the VATS group than those in the SSIT group (123.2±26.9 ml vs. 156.4±24.0 ml, P<0.001; 227.0±75.5 ml vs. 334.3±89.1 ml, P<0.001). Postoperative drainage duration, postoperative ambulation time and hospital stay were shorter in the VATS group than those in the SSIT group (2.5±0.5 d vs. 3.1±0.6 d, 1.5±0.5 d vs. 2.2±0.6 d, 6.5±0.5 d vs. 7.4±0.6 d, all P<0.001). The average hospitalization cost of the VATS group was significantly higher than that of the SSIT group (42 338.9±8 855.7 yuan vs. 32 043.7±7 178.1 yuan, P<0.001). There was no significant difference in the operation cost and anesthesia cost between the two groups (P>0.05). The early postoperative pain of laparoscopic group was less, but the difference was not statistically significant (P>0.05). Conclusion    The hospitalization cost of the SSIT is lower than that of thoracic surgery, which may be beneficial to the appilication in primary hospitals.

The in itiation and progression of periodontal disease were reported to be the results of complicated interactions between specific subgingival bacteria and host immuno-inflammatory response. As a part of the immune and defense system mechanisms of the host, leptin may have a protective effect on periodontal tissues. We summarize the latest progress in the relationship between leptin and periodontitis.