Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Lung cancer is the leading cause of death worldwide. With the prevalence of CT screening and early diagnosis and treatment of lung cancer in China, more and more patients with early-stage lung cancer characterized with ground-glass opacity are discovered and urgently require treatment, which poses a significant challenge to surgeons. As an emerging technology, three dimensional reconstruction technology plays a crucial auxiliary role in clinical work. This review aims to briefly introduce this technology, focusing on its latest advances in surgical applications in early lung cancer screening, malignant risk assessment, and perioperative period application and medical education.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

The implantation of left ventricular assist device (LVAD) has significantly improved the quality of life for patients with end-stage heart failure. However, it is associated with the risk of complications, with unplanned readmissions gaining increasing attention. This article reviews the influencing factors, prediction methods and models, and intervention measures for unplanned readmissions in LVAD patients, aiming to provide scientific guidance for clinical practice, assist healthcare professionals in accurately assessing patients' conditions, and develop rational care plans.

Non-small cell lung cancer is one of the primary types of cancer that leads to brain metastases. Approximately 10% of patients with non-small cell lung cancer have brain metastases at the time of diagnosis, and 26%-53% of patients develop brain metastases during the progression of their disease. However, the underlying mechanisms of lung cancer brain metastasis have not been fully elucidated. With the continuous development of single-cell and spatial transcriptomics, the genomic and transcriptomic characteristics of lung cancer brain metastasis are gradually being revealed. In February 2025, the journal Nature Medicine published an article titled "Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases". This article aims to provide a brief interpretation of the paper for colleagues in research and clinical practice.

Objective To develop a novel transcatheter tricuspid valve replacement device and test its performance. Methods The transcatheter tricuspid valve stent consisted of double-layer self-expanding nitinol stent, biotissue-derived bovine pericardial leaflets, and PTFE woven. The delivery system, mainly consisting of a handle control unit and a delivery sheath, was sent to the correct position via right atrium or jugular vein. The sheath had a visualization feature, and the handle control unit could realize the functions of stable release and partial recovery of the interventional valve. In addition, this study performed animal survival experiments on the basis of in vitro experiments. A large-white pig was used as the experimental animal. Cardiopulmonary bypass was established through median thoracotomy, then the right atrium was opened, and the interventional valve was released under direct vision without cardiac arrest. Approximately 1 month after interventional valve implantation, the maneuverability and stability of the interventional tricuspid device were evaluated by autopsy. Results Through the animal experiment, the interventional valve was successfully released, and the anchoring was satisfactory. Postoperative transthoracic echocardiography showed that the interventional valve opened and closed well, the flow rate of tricuspid valve was 0.6 m/s, and there was no obvious tricuspid regurgitation. One month after the operation, we dissected the large-white pig and found the interventional valve was not deformed or displaced, the leaflets were well aligned, and there was thrombus attachment in the groove between the inner and outer layers of the interventional valve. Conclusion Animal experiment shows that the novel device can stably and firmly attach to the tricuspid annulus, with good anchoring effect, and effectively reduce paravalvular leakage.

Objective To develop a radiomics nomogram based on contrast-enhanced CT (CECT) for preoperative prediction of high-risk and low-risk thymomas. Methods Clinical data of patients with thymoma who underwent surgical resection and pathological confirmation at Northern Jiangsu People's Hospital from January 2018 to February 2023 were retrospectively analyzed. Feature selection was performed using the Pearson correlation coefficient and least absolute shrinkage and selection operator (LASSO) method. An ExtraTrees classifier was used to construct the radiomics signature model and the radiomics signature. Univariate and multivariable logistic regression was applied to analyze clinical-radiological characteristics and identify variables for developing a clinical model. The radiomics nomogram model was developed by combining the radiomics signature and clinical features. Model performance was evaluated using area under the curve (AUC), sensitivity, specificity, accuracy, negative predictive value, and positive predictive value. Calibration curves and decision curves were plotted to assess model accuracy and clinical values. Results A total of 120 patients including 59 females and 61 males with an average age of 56.30±12.10 years. There were 84 patients in the training group and 36 in the validation group, 62 in the low-risk thymoma group and 58 in the high-risk thymoma group. Radiomics features (1 038 in total) were extracted from the arterial phase of CECT scans, among which 6 radiomics features were used to construct the radiomics signature. The radiomics nomogram model, combining clinical-radiological characteristics and the radiomics signature, achieved an AUC of 0.872 in the training group and 0.833 in the validation group. Decision curve analysis demonstrated better clinical efficacy of the radiomics nomogram than the radiomics signature and clinical model. Conclusion The radiomics nomogram based on CECT showed good diagnostic value in distinguishing high-risk and low-risk thymoma, which may provide a noninvasive and efficient method for clinical decision-making.

Objective To summarize and explore the individualized surgical treatment strategy and prognosis of anomalous aortic origin of coronary artery (AAOCA). Methods The clinical data of children with AAOCA admitted to Shanghai Children's Medical Center from March 2018 to August 2021 were retrospectively analyzed. Results A total of 17 children were enrolled, including 13 males and 4 females, with a median age of 88 (44, 138) months and a median weight of 25 (18, 29) kg. All patients received operations. The methods of coronary artery management included coronary artery decapitation in 9 patients, coronary artery transplantation in 5 patients and coronary artery perforation in 3 patients. One patient with severe cardiac insufficiency (left ventricular ejection fraction 15%) received mechanical circulatory assistance after the operation for 12 days. No death occurred in the early postoperative period, the average ICU stay time was 4.3±3.0 d, and the total hospital stay was 14.4±6.1 d. All the children received regular anticoagulation therapy for 3 months after discharge. The median follow-up time was 15 (13, 24) months. All patients received regular anticoagulation therapy for 3 months after discharge. No clinical symptoms such as chest pain and syncope occurred again. The cardiac function grade was significantly improved compared with that before operation. Imaging examination showed that the coronary artery blood flow on the operation side was unobstructed, and no restenosis occurred. Conclusion AAOCA is easy to induce myocardial ischemia and even sudden cardiac death. Once diagnosed, operation should be carried out as soon as possible. According to the anatomic characteristics of coronary artery, the early effect of individualized surgery is satisfactory, and the symptoms of the children are significantly improved and the cardiac function recovers well in the mid-term follow-up.

Objective     To explore the association between the preoperative systemic immune-inflammation index (SII) and prognosis in non-small cell lung cancer (NSCLC) patients. Methods     A comprehensive literature survey was performed on PubMed, Web of Science, EMbase, The Cochrane Library, Wanfang, and CNKI databases to search the related studies from inception to December 2021. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the correlation of the preoperative SII with overall survival (OS), disease-free survival (DFS), and recurrence-free survival (RFS) in NSCLC patients. Results     A total of 11 studies involving 9 180 patients were eventually included. The combined analysis showed that high SII levels were significantly associated with worse OS (HR=1.61, 95%CI 1.36-1.90, P<0.001), DFS (HR=1.50, 95%CI 1.34-1.68, P<0.001), and RFS (HR=1.17, 95%CI 1.04-1.33, P<0.001). Subgroup analyses also further verified the above results. Conclusion     Preoperative SII is a powerful prognostic biomarker for predicting outcome in patients with operable NSCLC and contribute to prognosis evaluation and treatment strategy formulation. However, more well-designed and prospective studies are warranted to verify our findings.