ObjectiveTo analyze the characteristics and risk factors of lymph node metastasis in thoracic esophageal squamous cell carcinoma (ESCC).MethodsThe clinical data of 407 patients with ESCC who underwent radical resection of esophageal carcinoma from December 2012 to October 2018 in our hospital were retrospectively analyzed. There were 390 males and 17 females with a median age of 63 (38-82) years. Esophageal lesions were found in 26 patients of upper thoracic segment, 190 patients of middle thoracic segment and 191 patients of lower thoracic segment. ResultsAmong the patients, 232 (57.0%) were found to have cervical, thoracic and/or abdominal lymph node metastasis. The lymphatic metastasis rates of cervical, upper, middle, lower mediastinal nodes and abdominal nodes were 0.7%, 8.8%, 21.4%, 16.7% and 37.1%, respectively. The adjacent lymph node metastasis alone occurred in 50.0% patients, and the multistage or skip lymph node metastasis accounted for 29.3% and 20.7%, respectively. Multivariate analysis showed that the length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion were independent risk factors for lymph node metastasis.ConclusionThe rates of lymph node metastasis are similar in the upper, middle and lower thoracic ESCC. The main pattern of lymph node metastasis is the adjacent lymph node metastasis, followed by multistage and skip lymph node metastases. The length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion are independent factors for lymph node metastasis. The operation and dissection range should be selected according to the location of tumor and the characteristics of the lesion.
Objective To identify and analyze risk factors associated with acute renal failure (ARF) after lung transplantation (LTx) and develop a predictive model. Methods Patients for this study were obtained from the United Network for Organ Sharing (UNOS) database who underwent unilateral or bilateral lung transplantation between 2015 and 2022. Preoperative and postoperative clinical characteristics of the patients were analyzed. A combined approach using random forest and Lasso regression was employed to identify key preoperative factors associated with the incidence of ARF following lung transplantation. Random forest was used to assess the importance of each feature variable, while Lasso regression further filtered the variables contributing most significantly to the model. The predictive performance of the constructed model was evaluated in both training and validation sets, with ROC curves and AUC values used to verify and compare model effectiveness. ResultsA total of 15 110 LTx patients were included in the study, comprising 6 041 males and 9 069 females, with a median age of 64 years. Findings indicated that preoperative lung diagnosis, estimated glomerular filtration rate (eGFR), mechanical ventilation, ICU admission prior to transplantation, extracorporeal membrane oxygenation (ECMO) support, infection within two weeks before transplantation, Karnofsky Performance Status (KPS) score, donor age, waitlist duration, double-lung transplantation, and ischemia time showed statistically significant differences between groups (P<0.05). Model evaluation results demonstrated that the constructed predictive model achieved high accuracy in both the training and validation sets, with favorable AUC values, confirming its validity and reliability. ConclusionThis study discusses common risk factors for ARF following lung transplantation and introduces an effective predictive model with potential clinical application.
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.
Robotic surgery system has been widely used in various types of pulmonary resections. With the unremitting efforts of Chinese thoracic surgeons, the quantity and quality of robotic pulmonary resections in China have reached a remarkable level. With the development and rapid promotion of this technology, the popularity of robotic surgery is also increasing. In order to standardize the clinical practice, guarantee the quality of treatment and promote the development of robotic pulmonary resections, the Committee of Thoracic Surgery, Doctor Society of Medical Robotics, Chinese Medical Doctor Association organized relevant domestic experts to formulate the consensus of Chinese clinical experts on robot-assisted lung cancer surgery.
ObjectiveTo analyze the correlation between folate receptor-positive circulating tumor cells (FR+CTC) and the benign or malignant lesions of the lung, and to establish a malignant prediction model for pulmonary neoplasm based on clinical data, imaging and FR+CTC tests.MethodsA retrospective analysis was done on 1 277 patients admitted to the Affiliated Hospital of Qingdao University from September 2018 to December 2019, including 518 males and 759 females, with a median age of 57 (29-85) years. They underwent CTC examination of peripheral blood and had pathological results of pulmonary nodules and lung tumors. The patients were randomly divided into a trial group and a validation group. Univariate and multivariate analyses were performed on the data of the two groups. Then the nomogram prediction model was established and verified internally and externally. Receiver operating characteristic (ROC) curve was used to test the differentiation of the model and calibration curve was used to test the consistency of the model.ResultsTotally 925 patients suffered non-small cell lung cancer and 113 patients had benign diseases in the trial group; 219 patients suffered non-small cell lung cancer and 20 patients had benign diseases in the verification group. The FR+CTC in the peripheral blood of non-small cell lung cancer patients was higher than that found in the lungs of the patients who were in favorite conditions (P<0.001). Multivariate analysis showed that age≥60 years, female, FR+CTC value>8.7 FU/3 mL, positive pleural indenlation sign, nodule diameter, positive burr sign, consolidation/tumor ratio<1 were independent risk factors for benign and malignant lung tumors with a lesion diameter of ≤4 cm. Thereby, the nomogram prediction model was established. The area under the ROC curve (AUC) of the trial group was 0.918, the sensitivity was 86.36%, and the specificity was 83.19%. The AUC value of the verification group was 0.903, the sensitivity of the model was 79.45%, and the specificity was 90.00%, indicating nomogram model discrimination was efficient. The calibration curve also showed that the nomogram model calibration worked well.ConclusionFR+CTC in the peripheral blood of non-small cell lung cancer patients is higher than that found in the lungs of the patients who carry benign pulmonary diseases. The diagnostic model of clinical stage Ⅰ non-small cell lung cancer established in this study owns good accuracy and can provide a basis for clinical diagnosis.