Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

Sarcopenia is a systemic skeletal muscle disease characterized by the gradual decline of muscle mass，strength，and function，and its occurrence and development are related to multiple factors，involving several signaling pathways. Among them，the phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway，as a key pathway regulating cellular growth，survival，and metabolism，plays an important role in the formation and development of sarcopenia. Its abnormal activation or deactivation may lead to an imbalance in muscle protein metabolism，resulting in muscle atrophy and reduction. Modern medicine is still in the exploratory stage of treatment for sarcopenia. Traditional Chinese medicine （TCM），with its multi-pathway and multi-target characteristics，has shown increasing advantages in the prevention and treatment of sarcopenia. In recent years，various monomers， extracts，and compound formulas of TCM have been proven to effectively prevent and treat sarcopenia by promoting muscle cell protein synthesis，reducing protein degradation，inhibiting cell apoptosis and inflammatory response，and improving mitochondrial function. This paper reviewed the improvement effects of TCM on sarcopenia based on the PI3K/Akt pathway and explored its specific action mechanisms， aiming to provide new insights for the treatment of sarcopenia with TCM.

Objective: This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO). Materials and Methods: A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTRasym) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTRasym values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman’s correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO. Results: Patients with active TAO showed lower MTR values (P < 0.001) and higher MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) (all P < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (r = -0.402; P < 0.001), while MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) were positively correlated with CAS (r = 0.369, 0.350, and 0.349, respectively;all P < 0.001). MTR and MTRasym (1 ppm) were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTRasym (1 ppm) in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTRasym (1 ppm) significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (P = 0.029 and 0.001). Conclusion MTR and MTRasym (1 ppm) were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.

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.

Objective To analyze the correlation between cardiac function and degree of coronary artery lesion in elderly patients with coronary heart disease. Methods A total of 110 elderly patients with coronary heart disease and 30 elderly people without coronary heart disease (non-coronary heart disease group) in the Third People's Hospital of Chengdu were selected for the study. Based on Gensini score, the patients with coronary heart disease were classified into mild, moderate and severe lesion groups. The echocardiographic indicators and myocardial injury indicators [cardiac troponin I (cTnI), creatine kinase (CK), creatine kinase isoenzyme (CK-MB)] were compared among the groups. The correlation between cardiac function indicators and degree of coronary artery lesion and the evaluation value of various indicators on severe coronary artery lesion were analyzed. Results The left ventricular ejection fraction (LVEF) was represented as severe lesion groupmoderate lesion group>mild lesion group> non-coronary heart disease group (P<0.05). LVEF showed a negative correlation with degree of coronary artery lesion (P<0.05), while LVEDD, LVESD, cTnI, CK and CK-MB all exhibited positive correlations with degree of coronary artery lesion (P<0.05). The combined detection of the above indicators demonstrated superior evaluation efficiency on severe coronary artery lesion compared to any single indicator (P<0.05). Conclusion There is a significant correlation between cardiac function and degree of coronary artery lesion in elderly patients with coronary heart disease. Comprehensive evaluation of these indicators is conducive to clinical disease risk stratification and individualized treatment.

Objective To explore the clinical application value of dual-source CT (DSCT) in imaging evaluation after anterior cruciate ligament (ACL) injury and reconstruction. Methods A total of 93 patients with ACL injury confirmed in our hospital between December 2023 and December 2024 were enrolled as the research subjects. All patients underwent arthroscopic single-bundle anatomical reconstruction of ACL, as well as DSCT and multi-slice spiral CT (MSCT) examinations at 1 month after surgery. ACL scan parameters, bone tunnel aperture center, and radiation dose parameters (CT dose index volume, dose-length product, effective dose) under DSCT and MSCT were compared. At 3 months after surgery, according to postoperative curative effect by International Knee Documentation Committee (IKDC) scoring method, patients were divided into favorable outcome group (IKDC ≥ 70 points, n = 69) and unfavorable outcome group (IKDC < 70 points, n = 24). The two groups were compared for bone tunnel angles [angle between femoral tunnel and joint line (γ angle), angle between femoral tunnel and femoral shaft (θ angle), angle between tibial tunnel and tibial shaft (α angle), angle between tibial tunnel and joint line (β angle)]. The predictive value of bone tunnel angles under DSCT in poor prognosis of patients after ACL reconstruction was analyzed by receiver operating characteristic curves. Results The intraclass correlation coefficients for image quality of ACL length, ACL angle, long diameter of femoral attachment point, long diameter of tibial attachment point, Fx, Fy, Tx, Ty, γ angle, θ angle, α angle, and β angle were 0.812, 0.835, 0.823, 0.834, 0.836, 0.847, 0.841, 0.834, 0.835, and 0.864, respectively. The long diameters of femoral attachment point and tibial attachment point under DSCT were shorter than those under MSCT (P < 0.05), Tx and Ty were lower than those under MSCT (P < 0.05), CT dose index volume, dose-length product, and effective dose were lower than those under MSCT (P < 0.05). The γ angle and θ angle in the favorable outcome group were lower than those in the unfavorable outcome group (P < 0.05). Receiver operating characteristic curve analysis showed that after ACL reconstruction, the areas under the receiver operating characteristic curves of γ angle, θ angle, and their combination under DSCT for predicting poor prognosis were 0.711, 0.712, and 0.783, respectively, with sensitivities of 76.81%, 79.71%, and 92.75% as well as specificities of 70.83%, 75.00%, and 62.50%, respectively (P < 0.05). Conclusion DSCT can evaluate the poor prognosis of patients after ACL reconstruction through ACL scan parameters, bone tunnel aperture center, γ angle, and θ angle, which also can effectively reduce radiation dose.

AIM: To investigate the specific molecular mechanism of Yinqiao Powder in affecting macrophage polarization in herpes simplex keratitis(HSK)through the cyclic GMP-AMP synthetase(cGAS)-stimulator of interferon genes(STING)-interferon regulatory factor 3(IRF3)molecular pathway.METHODS:Human corneal epithelial cells(HCE-T)were divided into control, HSK, and HSK + Yinqiao Powder groups. M0 macrophages were grouped as Ctrl, HSV-1, HSV-1+oe-cGAS, HSV-1+Yinqiao Powder, and HSV-1+oe-cGAS+Yinqiao Powder. Conditional medium(CM)from each group of M0 macrophages was collected to intervene in HCE-T cells and divided into Ctrl-CM, HSV-1-CM, HSV-1+oe-cGAS-CM, and HSV-1+Yinqiao Powder-CM groups. Cell viability was detected by MTT assay, and apoptosis was detected by TUNEL assay. ELISA was used to detect the concentrations of Arg-1 and iNOS in cell supernatants, and Western blotting was used to detect the relative protein expressions of cGAS, STING, and IRF3. Balb/c mice were divided into control, model, and drug groups. The model and drug groups were inoculated with HSV-1 on the cornea of Balb/c mice using the corneal scratch method to construct an HSK mouse model, and the drug group was treated with Yinqiao Powder. The incidence and mortality of the three groups were compared on days 1, 3, 5, 7, and 14 after modeling.RESULTS:Compared with the control group, the HCE-T cell viability in the HSK group was decreased but apoptosis was increased, which was reversed by Yinqiao Powder intervention. Compared with the Ctrl group, the Arg-1 concentration in the cell supernatant of the HSV-1 group was decreased, the iNOS concentration was increased, and the protein expressions of cGAS, STING, and IRF3 were decreased. Compared with the HSV-1 group, the Arg-1 concentration was increased, the iNOS concentration was decreased, and the protein expressions of cGAS, STING, and IRF3 were enhanced in the HSV-1+oe-cGAS group and the HSV-1+Yinqiao Powder group, and the same results were obtained in the HSV-1+oe-cGAS+Yinqiao Powder group. Compared with the Ctrl-CM group, the HCE-T cell viability was decreased and apoptosis was increased in the HSV-1-CM group, which was reversed by overexpressing cGAS in macrophages or intervening with Yinqiao Powder. In vivo experiments found that Yinqiao Powder intervention could improve the pathological progression of keratitis.CONCLUSION:Yinqiao Powder inhibits M1 polarization of macrophages through the cGAS-STING-IRF3 molecular pathway, thereby delaying the progression of HSK.

Brain metastases are the most common intracranial tumors, and their incidence is increasing with the improvement of systemic treatments and survival rates. Optimal treatment usually requires a multidisciplinary approach, including radiotherapy, surgical resection, chemotherapy, targeted therapy, and immunotherapy. Stereotactic radiotherapy, compared to whole-brain radiotherapy, offers improved local control rates and reduced risk of neurocognitive impairment, and has become a new standard option for the treatment of brain metastases. Additionally, the widespread use of targeted and immune therapies in brain metastases has significantly improved the survival of some patients. This article reviews and integrates recent literature on the treatment of brain metastases and analyzes the role of stereotactic radiotherapy in comprehensive treatment, aiming to provide a reference for the selection of clinical treatment plans.

Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.