With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

Objective To explore the predictive value of artificial intelligence (AI)-based lung nodule CT quantitative analysis for the invasion degree of lung adenocarcinoma spectrum lesions. Methods According to the invasion degree of lung adenocarcinoma spectrum lesions, patients with surgically and pathologically confirmed lung adenocarcinoma spectrum lesions from January to June 2023 in Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University were retrospectively collected and divided into a non-invasive group and an invasive group, including atypical adenomatous hyperplasia, adenocarcinoma in situ, and minimally invasive adenocarcinoma patients in the non-invasive group, and invasive adenocarcinoma patients in the invasive group. All enrolled patients underwent chest CT before surgery, and then the lung nodules were quantitatively analyzed using an AI-based computer-aided diagnosis system to compare the related quantitative parameters of lung nodules that have been surgically removed and pathologically confirmed as lung adenocarcinoma spectrum lesions between the two groups. The relationship between various CT quantitative features and the invasion degree of lung adenocarcinoma spectrum lesions was analyzed. Results A total of 149 patients (149 lesions) were included, including 42 males and 107 females, aged 29-81 (56.35±10.75) years. There were 72 patients in the non-invasive group and 77 patients in the invasive group. Statistical differences were observed between the two groups in long diameter, short diameter, volume, surface area, mass, maximum cross-sectional area, 3D long diameter, maximum CT value, minimum CT value, average CT value, entropy, kurtosis, skewness, malignancy probability and other indicators (P<0.05). Multivariate binary logistic regression analysis showed that long diameter [OR=1.687, 95%CI (1.364, 2.085), P<0.001], average CT value [OR=1.006, 95%CI (1.002, 1.009), P=0.002], and malignancy probability [OR=1.034, 95%CI (1.005, 1.063), P=0.020] were independent risk factors for the invasion degree of lung adenocarcinoma. The predictive model combining the above parameters demonstrated optimal performance, with an area under the receiver operating characteristic curve of 0.951, sensitivity of 0.818, and specificity of 0.972. Using a Nomogram to quantify the three independent risk factors, the cross-validation was performed to evaluate the stability of the model, and the average C-index of cross-validation was 0.950, with each fold C-index >0.75, indicating that the prediction performance of the model was stable, and the calibration curve and decision curve indicated good predictive performance. Conclusion The visualization prediction model constructed by AI-based quantitative analysis of lung nodules in CT demonstrates significant discriminative effectiveness in the assessment of invasiveness in lung adenocarcinoma spectrum lesions. This visualization prediction model can provide a quantitative decision-making basis for the preoperative identification of the degree of invasiveness in lung adenocarcinoma spectrum lesions.

Objective To explore the clinical efficacy and safety of endoscopic endonasal dorsum sellae and posterior clinoid process resection combined with pituitary hemi-transposition in the treatment of pan-sellar area lesions. Methods Clinical data from 57 patients with pan sellar diseases who underwent endoscopic transnasal resection of the posterior clinoid process combined with lateral pituitary displacement surgery in the neurosurgery department of Zhongshan Hospital, Fudan University from January 2019 to January 2025 were collected, and their clinical surgical characteristics and prognosis were analyed. Results A total of 57 patients with pan-sellar area lesions were included in this study, comprising 27 craniopharyngiomas, 7 giant suprasellar pituitary adenomas, 7 chordomas, 6 chondrosarcomas, 5 diaphragma sellae/dorsum sellae meningiomas, and 5 rare lesions. All procedures were completed successfully, and gross total or near-total resection was achieved in all patients. No new neurovascular complications occurred intraoperatively. The follow-up duration ranged from 3 to 24 months. New postoperative anterior pituitary insufficiency occurred in 3 patients (5.3%), and new posterior pituitary insufficiency requiring long-term hormone replacement therapy occurred in 4 patients (7.0%). No additional pituitary dysfunction was observed in the remaining patients. Cerebrospinal fluid rhinorrhea occurred in 1 patient (1.8%) and was successfully repaired. Intracranial infection occurred in 3 patients (5.3%) and resolved after medical treatment. Conclusion Endoscopic resection of the posterior clinoid process combined with lateral displacement of the pituitary gland can effectively expand the surgical space, while repositioning the pituitary gland can reduce the extent of skull base defects. In addition, the risk of pituitary dysfunction caused by lateral displacement of the pituitary gland is relatively low.

BACKGROUND:In the field of tissue engineering,decellularized scaffolds are widely used owing to their biocompatibility.Nonetheless,these scaffolds frequently encounter the limitation of inadequate cell infiltration due to their densely structured composition.Using laser micro-patterning technology for structural modification can improve cell adhesion and proliferation.OBJECTIVE:To summarize the research progress of laser microporous decellularized scaffolds in tissue regeneration.METHODS:Related literature was searched in PubMed and CNKI databases.The Chinese and English search terms were"decellularized scaffold,laser micro-patterning technology,laser microporous decellularized scaffold,extracellular matrix,laser drilling,tissue regeneration."References were screened according to inclusion and exclusion criteria,and 65 articles were finally included for analysis and discussion.RESULTS AND CONCLUSION:(1)Laser micro-patterning technology can selectively remove tissues to achieve scaffold modification.Laser treatment can have controllable effects on the pore structure,mechanical properties and cell permeability of the scaffold.(2)To obtain the optimal cell integration and remodeling effect,factors such as scaffold pretreatment,laser and decellularization process sequence,laser parameter setting,decellularization process and pore structure should be considered.(3)At present,the application of laser microporous decellularized scaffolds has shown that it can promote tissue repair,and it is also necessary to solve the problem of tissue thermal damage.Depending on the absorption of different wavelengths of laser light by the tissue,a reasonable selection of laser type is a feasible solution.(4)Tissue damage repair by laser microporous decellularized scaffold is expected to achieve clinical transformation,and optimizing laser technology and carrying out larger scale biosafety testing are future research directions.

BACKGROUND:Upper lumbar spinal stenosis is a multifactorial degenerative disorder of the spine.For narrowing of the spinal canal in the upper lumbar region(L1-L4),surgical decision-making is particularly complex.Existing minimally invasive surgeries each have their own advantages and limitations.Currently,there are few reports on biomechanical comparison and finite element analysis of different surgical methods for the treatment of high lumbar spinal stenosis.OBJECTIVE:To analyze the biomechanical impact of endoscopic unilateral laminotomy for bilateral decompression,transforaminal endoscopic lumbar decompression,and cross-overtop decompression in the treatment of upper lumbar spinal stenosis using endoscopy,and to verify the reliability and effectiveness of these three surgical techniques in treating upper lumbar spinal stenosis,providing a biomechanical basis for clinical decision-making.METHODS:The CT images of the lumbar spine of a healthy volunteer were selected,and the finite element model M0 of the normal lumbar L1-L5 segments was established using Mimics,Geomagic,Solid works,and Ansys software.The L2-L3 segment,representing upper lumbar characteristics,was chosen.Based on this model,the surgical models for endoscopic unilateral laminotomy for bilateral decompression(M1),transforaminal endoscopic lumbar decompression(M2),and cross-overtop decompression(M3)were established.Using software,the changes in the range of motion of the entire lumbar segment and the maximum Von Mises stress of the intervertebral discs were simulated and evaluated for each group of models under six loading conditions:flexion,extension,left lateral bending,right lateral bending,left rotation,and right rotation.RESULTS AND CONCLUSION:(1)Compared with model MO,the range of motion in M1,M2,and M3 increased under all six conditions,with M1 showing a greater increase.(2)M1 and M2 demonstrated significant increases in range of motion under forward bending,extension,and right rotation,while the increase under other conditions remained below 7％.(3)Compared with model M3,model M1 exhibited slightly increased overall joint range of motion during extension and left bending,while no significant changes were observed in other aspects,and the L1-L5 lumbar segments did not reach an unstable state.(4)In model M1,the maximum Von Mises stress of the intervertebral discs increased most significantly under flexion and extension loading conditions.However,under left lateral bending,right lateral bending,left rotation,and right rotation loading conditions,the increase did not exceed 5％.(5)These findings suggest that due to the sagittal anatomical characteristics of the facet joints,the unilateral laminotomy for bilateral decompression technique,while decompressing,involves resection of more facet joints,which impacts overall segmental stability.The transforaminal endoscopic lumbar decompression technique is suitable for patients with foraminal stenosis but cannot achieve complete decompression for those with severe ventral central stenosis.The Cross-Overtop technique effectively enlarges the volume of the central canal and lateral recess,optimizing decompression,and shows unique advantages in treating upper lumbar spinal stenosis.

BACKGROUND:Ammonia poisoning is considered to be the main hypothesis for the pathogenesis of hepatic encephalopathy.Ammonia can lead to psychiatric and cognitive behavioral disorders,although the specific pathological molecular mechanisms remain unclear.OBJECTIVE:To investigate the effects of ammonia poisoning on cognitive behavior and hippocampal neuronal synapses in mice.METHODS:Thirty-two C57BL/6J mice were randomly divided into a normal control group and an ammonium chloride group,with 16 mice in each group.Normal saline was injected intraperitoneally in the control group,and ammonium chloride(10 mmol/kg)was injected intraperitoneally in the ammonium chloride group to construct a model of ammonia poisoning,once a day.After 7 days of ammonium chloride intervention,blood samples were collected from the hearts of six mice in each group for blood ammonia concentration detection.Behavioral experiments,including the open field test,novel object recognition test,and Y-maze test,were performed to assess mental and cognitive-behavioral changes in mice.Finally,hippocampal tissues were extracted for western blot analysis to detect the expression levels of synaptophysin and postsynaptic density protein-95 in hippocampal neurons.RESULTS AND CONCLUSION:The blood ammonia concentration was significantly elevated in the ammonium chloride group compared with the control group(P＜0.05).Mice in the ammonium chloride group showed anxiety-like behavior and disinhibition phenomenon,and a significant decrease in recognition memory and working memory ability.Western blot results revealed that the expression of synaptophysin and postsynaptic density protein-95 protein in hippocampal neurons in the ammonium chloride group was lower than that in the control group(P＜0.05).To conclude,ammonia poisoning can induce hippocampal neuronal synaptic damage,leading to psychiatric and cognitive behavioral abnormalities in mice.

Objective: To explore the distribution characteristics and influencing factors of adverse reactions in whole blood donation in Jinan, Shandong, so as to provide evidence for the prevention and control of such adverse reactions in this region. Methods: A retrospective analysis was conducted on whole blood donors and adverse reaction cases in Jinan during 2023. To explore influencing factors of adverse reactions, univariate and multivariate logistic regression analyses were used to examine the relationships between adverse reactions and factors such as gender, age, donation organization mode, donation frequency, donation volume, time slot, and health examination results. Results: A total of 122 961 whole blood donations were recorded in Jinan in 2023. Donation-related adverse reactions occurred in 2 054 cases, with an incidence rate of 1.67%. Univariate analysis revealed significant differences in the incidence of adverse reactions across donor characteristics: the rate was higher in females (2.35%, 921/39 192) than in males (1.35%, 1 133/83 769), donors aged 18-25 years had the highest incidence (3.48%, 1 799/51 733), the incidence in group donations (3.13%, 1,737/55 534) was significantly higher than in individual donations (0.47%, 317/67 427), and insufficient blood collection was closely associated with adverse reactions (all P<0.001). Multivariate logistic regression analysis identified group donation, female gender, and a pulse rate of 81-99 beats per minute as risk factors for adverse reactions (all P<0.001), while systolic blood pressure of 116-139 mmHg and diastolic blood pressure of 76-89 mmHg were protective factors (all P<0.05). Compared to younger and lower-weight donor groups, older and higher-weight donors had a significantly lower risk of adverse reactions (all P<0.05). Donors giving 400 mL had a higher risk than those giving 200 mL (P<0.001). In addition, compared with the donation time slot of 7:00-8:59, the risk of adverse reactions was significantly higher during 9:00-16:59, with the time slot of 13:00-14:59 showing the most prominent risk (all P<0.05). However, no statistically significant difference was observed between the time slot of 17:00-20:59 and that of 7:00-8:59 (P>0.05). The primary clinical manifestation of adverse reactions was donation-related vasovagal reaction, with mental tension being the leading precipitating factor, accounting for 69.08% (1 419/2 054) of cases. Conclusion: The occurrence of adverse reactions in whole blood donation in the Jinan is influenced by multiple factors, including donor demographic characteristics, donation organization mode, physiological indicators, and time of donation. It is recommended to enhance the identification and intervention for high-risk groups, and optimize donation processes and service models to reduce the incidence of adverse reactions, thereby ensuring donor safety and blood quality.

The 2025 American Society of Clinical Oncology (ASCO) Annual Meeting was held in Chicago. At the meeting, researches on the treatment of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) once again took the spotlight. Combination therapy strategies have demonstrated the potential to overcome resistance to EGFR tyrosine kinase inhibitor (EGFR-TKI) and prolong survival. Meanwhile, progress has also been made in individualized treatment strategies for young patients and those with fibrotic interstitial lung disease. However, the complexity of resistance mechanisms, special treatment considerations for different populations, and the impact of socioeconomic factors on treatment accessibility remain challenges in the field of EGFR-mutant NSCLC treatment. In the future, it is necessary to further explore more effective treatment regimens and expand the accessibility of precision medicine to maximize patient benefits.

The 26th World Conference on Lung Cancer (WCLC) was held in Barcelona during September 6-9, 2025. As the world's largest and most influential academic meeting in the field of lung cancer, this year's congress unveiled long-term follow-up data from several pivotal studies and significant advances in novel therapeutic strategies. In the realm of targeted therapy, a next-generation combination strategy has been established as the new standard of care for the first-line treatment of patients with advanced epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC), demonstrating a significant improvement in overall survival. In immunotherapy, novel combination regimens have not only addressed the therapeutic challenge of acquired resistance to EGFR targeted therapies, but also shown clear long-term survival benefits in both the perioperative and locally advanced settings. These findings pave the way for shifting the treatment paradigm to earlier stages for patients with NSCLC. Antibody-drug conjugates have made remarkable strides in this field. They have shown outstanding efficacy in patients with specific resistance mutations and those with brain metastases, and have also demonstrated immense potential in treating patients with HER2-aberrant lung cancer and broader NSCLC populations. This offers new therapeutic options for patients with refractory lung cancer.However, significant challenges remain, including the heterogeneity of resistance mechanisms, the selection of optimal treatment regimens, and management strategies for special populations. Future research should focus on identifying novel precision biomarkers and optimizing therapeutic strategies to ultimately improve clinical outcomes for all patients with lung cancer.