Objective To explore the imaging characteristics of lung cancers associated with cystic airspaces (LCCA) and the effects of different treatment regimens. Methods A retrospective analysis was conducted on the clinical and radiological data of LCCA patients who underwent surgical resection and pathological confirmation at the Department of Thoracic Surgery, the First Affiliated Hospital of Soochow University from 2016 to 2023. The relationship between various radiological classifications and clinical pathology was studied. Based on the postoperative adjuvant treatment follow-up results, the effects of different treatment regimens were analyzed. Results A total of 147 patients were included, including 90 males and 57 females, with a median age of 63 (55, 70) years. There were 21 patients of imaging typeⅠ, 50 patients of typeⅡ, 57 patients of type Ⅲ, and 19 patients of type Ⅳ. The lobulation sign or burr sign of typeⅠcyst walls (P=0.004), and intracystic septa (P=0.030) were more commonly seen in the high-aggressiveness group. The components of the cyst walls or nodules of types Ⅰ-Ⅳ in the high-aggressiveness group were mostly solid or sub-solid (P<0.05). Multivariate logistic regression analysis indicated that subsolid cyst wall (OR=4.734, P=0.023), solid cyst wall (OR=97.972, P<0.001), and the lobulation sign or burr sign of the cyst wall (OR=13.215, P=0.024) were independent risk factors for aggressiveness. Fifty-eight patients received adjuvant therapy after surgery, including 22 in the chemotherapy group, 15 in the targeted therapy group, and 21 in the combined therapy group. The progression-free survival of the combined therapy group was better than the other two groups (P=0.045). Conclusion There is a correlation between the imaging features of LCCA and pathological aggressiveness. Compared to postoperative targeted therapy or chemotherapy alone, postoperative chemotherapy combined with targeted therapy can improve the progression-free survival of LCCA patients.

OBJECTIVE To investigate the protective effect of 2-dodecyl-6-methoxy-2，5-diene-1，4-cyclohexanedione （DMDD）， an active component from Averrhoa carambola root， on myocardial injury in diabetic mice based on the nuclear receptor coactivator 4/ferritin heavy chain 1/autophagy-related protein 8 （NCOA4/FTH1/ATG8） axis. METHODS The successfully modeled diabetic mice were randomly divided into model group and DMDD low-， medium-， and high-dose （12.5， 25， 50 mg/kg） groups， while an additional non-modeled control group was established， with 6 mice in each group. Each group received the corresponding drug solution or an equal volume of normal saline intragastically once daily for 21 consecutive days. After the administration， the levels of fasting blood glucose （FBG）， serum lactate dehydrogenase （LDH）， and creatine kinase isoenzyme MB （CK-MB） were measured. Myocardial pathological changes， degree of fibrosis， and myocardial cell ultrastructure were observed. Myocardial cell death index and NCOA4 protein positive index were detected. The protein expression levels of NCOA4， FTH1， ATG8， solute carrier family 7 member 11 （SLC7A11）， and glutathione peroxidase 4 （GPX4） in cardiac tissue were measured. RESULTS Compared with model group， each DMDD group showed significant alleviation of cardiac pathological injury and varying degrees of improvement in the myocardial cell ultrastructure. The FBG and serum LDH and CK-MB levels， the myocardial cell death index and NCOA4 protein positive index，the protein expression levels of NCOA4， FTH1， and ATG8 in cardiac tissue were significantly decreased （ P ＜0.001）， while the protein expression levels of SLC7A11 and GPX4 were significantly increased （ P ＜0.001）. CONCLUSIONS DMDD can reduce blood glucose levels， alleviate myocardial histopathological injury， and inhibit cell death in diabetic mice. The mechanism is associated with inhibiting excessive activation of the NCOA4/FTH1/ATG8 axis and reducing ferritinophagy.

Paraneoplastic neurologic syndromes （PNS） are immune-mediated disorders of the nervous system triggered by cross-immune response induced by tumor-associated antigens. Since high-risk paraneoplastic antibodies are highy associated with malignancies， they have an important clinical value in the early recognition， tumor screening， and prognostic assessment of PNS. The diagnostic criteria updated in 2021 further refined the classification of high-risk antibodies and clarified their value in risk assessment. This article systematically reviews the clinical spectrum， tumor associations， and immunopathogenic mechanisms of neurological disorders associated with the high-risk paraneoplastic antibodies such as anti-Hu， anti-Ri， anti-CV2， anti-Ma2， anti-amphiphysin， anti-Yo， anti-PCA2， anti-Tr， anti-SOX1， and anti-KLHL11 antibodies. Immunotherapy combined with active control of primary tumor is the main treatment strategy for such disease， but with a limited overall therapeutic effect， and early identification is of particular importance. In the era of the wide application of immune checkpoint inhibitors （ICIs）， the risk of ICIs in inducing or exacerbating should be taken seriously in clinical practice. Mechanistic research， multimodal diagnostic approaches， and individualized treatment strategies should be enhanced in the future to improve the prognosis of patients.

ObjectiveTo design a "roly-poly" style interactive home-based hand function training device based on the principle of self-stabilization and recovery in light of the characteristics of post-stroke hand dysfunction and the current scarcity of home-based hand function training devices; and explore the feasibility and clinical value of this device in hand function rehabilitation training for stroke patients. MethodsThis study adopted a phased research design consisting of two stages: device development and clinical validation. At the first stage, focusing on the principle of the tumbler's automatic return to center, combined with the clinical needs of hand function rehabilitation training for stroke patients, the development of a home-based interactive hand function training device was completed, and the application and authorization of a utility model patent were obtained. At the second stage, 30 stroke patients with post-stroke hand dysfunction hospitalized at Beijing Bo'ai Hospital from May to October, 2025 were randomly divided into control group (n = 15) and experimental group (n = 15). Both groups received conventional rehabilitation therapy, the control group added routine hand function training every evening, and the experimental group added hand function training using the device developed in this study every evening, for four weeks. The grip strength, lateral pinch strength, finger pad pinch strength, three-finger pinch strength and wrist joint range of motion (dorsal-flexion, palm-flexion, radial deviation and ulnar deviation) were measured before and after intervention. The upper limb and hand motor function was assessed with Fugl-Meyer Assessment (FMA), and the modified Barthel Index (MBI) was used to evaluate activities of daily living (ADL). ResultsA self-stabilizing hemispherical hand functional rehabilitation device was developed and granted a utility model patent. After intervention, the grip strength, lateral pinch strength, finger pad pinch strength, three-finger pinch strength, wrist joint range of motion, and FMA and MBI scores significantly improved in both groups (|t| > 5.683, P < 0.05); except for the score of MBI (P > 0.05), all the other indicators were better in the experimental group than in the control group (t > 2.633, P < 0.05). ConclusionThe self-stabilizing, closed-loop home-based functional hand interaction training device designed in this study effectively improves hand grip, pinching function and wrist joint range of motion of stroke patients, significantly enhancing upper limb and hand motor function, and demonstrates feasibility for home-based hand rehabilitation training. However, the device does not provide notable additional improvements in patients' ADL, necessitating further optimization to enhance its clinical application value.

BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

BackgroundNon-suicidal self-injury （NSSI） behavior among adolescents has become a global public health concern. Anxiety and depression are considered key factors influencing NSSI behavior， while social support may play a protective role in alleviating emotional and behavioral issues. However， existing research has primarily focused on the direct impact of individual factors on NSSI behavior， with insufficient exploration of the combined effects of anxiety， depression and social support. ObjectiveTo investigate the direct effect of anxiety on NSSI， the mediating role of depression and the moderating role of social support in relationship between anxiety and NSSI behavior， thus to provide references for the prevention and intervention of NSSI behavior among adolescents. MethodsIn February 2022， a total of 40 820 students in grades 7 to 12 across 10 middle schools in a district of Chengdu were selected as participants， and they were assessed using Generalized Anxiety Disorder Scale-7 item （GAD-7）， Patient's Health Questionnaire Depression Scale-9 item （PHQ-9）， Social Support Scale for Urban Students （SSSUS） and Adolescent Self-Harm Scale （ASHS）. Pearson correlation analysis was conducted to examine the correlations between scale scores among adolescents with NSSI behaviors. Mediation and moderation analyses were performed using Process 3.5 in SPSS， and the significance was tested with bootstrapping. The interaction was visualized by using simple slope analysis. ResultsAmong 34 534 （84.60%） valid respondents， 542 adolescents （1.57%） reported engaging in NSSI behavior. Significant differences in gender， GAD-7 scores， PHQ-9 scores， and SSSUS scores were observed between NSSI behavior group and non-NSSI group （χ²/t=62.889， 71.120， 94.365， -41.464， P<0.01）.Adolesents with NSSI showed positive correlations between GAD-7 scores and both ASHS and PHQ-9 scores （r=0.158， 0.166， P<0.01）. PHQ-9 scores were positively correlated with ASHS scores （r=0.364， P<0.01）， but negatively correlated with SSSUS scores （r=-0.290， P<0.01）. SSSUS scores were negatively correlated with ASHS scores （r=-0.247， P<0.01）. Depression partially mediated the relationship between anxiety and NSSI behavior， with an effect size of 0.544 （95% CI： 0.162~0.944）， accounting for 35.79% of the total effect. Social support moderated the relationship between depression and NSSI bahavior， with an effect value of -0.082 （95% CI： -0.135~-0.029）. ConclusionAnxiety not only directly influences NSSI bahavior among adolescents， also indirectly exacerbates it through depression， while social support mitigates the impact of depression on NSSI behavior. ［Funded by Youth Project of National Natural Science Foundation of China （number， 82401812）； Project of Health Commission of Sichuan Province （number， 24LCYJPT18）］

BackgroundThe distressingly high prevalence of depressive symptoms among adolescents exerts profound impacts on their physical and psychological development， urgently necessitating effective preventive interventions. Existing studies， however， have predominantly focused on isolated risk factors， neglecting to construct an integrated model that systematically disentangles the intricate relationships linking parenting styles， learning burnout， and childhood trauma to adolescent depressive symptoms. Moreover， the potential protective roles of social support and psychological resilience in this context remain insufficiently elucidated. ObjectiveTo construct a structural equation model encompassing multiple pathways to unravel the comprehensive mechanisms through which negative parenting styles， childhood trauma， learning burnout， psychological resilience， and social support collectively influence adolescent depressive symptoms， thereby providing evidence-based intervention strategies. MethodsA stratified sampling technique was utilized to recruit 5 865 students from 12 middle schools in Chengdu City， Sichuan Province from March to May 2022. Participants were assessed using the following validated instruments： the Short-form Egna Minnen av Barndoms Uppfostran （s-EMBU）， the Childhood Trauma Questionnaire-Short Form （CTQ-SF）， the Adolescent Student Burnout Inventory， the Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， the Social Support Rating Scale （SSRS），and the Connor-Davidson Resilience Scale （CD-RISC）. A partial least squares structural equation modeling （PLS-SEM） approach was employed to construct a predictive framework examining the complex network of pathways through which negative parenting styles， childhood trauma， learning burnout， psychological resilience，and social support collectively influence depressive symptoms in adolescents. ResultsThe PHQ-9 scores demonstrated significant positive correlations with the scores on s-EMBU overprotection subscale （r=0.272， P<0.01）， s-EMBU rejection subscale （r=0.368， P<0.01）， CTQ-SF （r=0.288， P<0.01） and Adolescent Student Burnout Inventory （r=0.587， P<0.01）. Conversely， significant negative correlations were observed between PHQ-9 scores and both SSRS （r=-0.532， P<0.01） and CD-RISC scores （r=-0.418， P<0.01）. Negative parenting styles （β=0.113， 95% CI： 0.087-0.138） and learning burnout （β=0.339， 95% CI： 0.315-0.364） emerged as significant positive predictors of depressive symptoms， with childhood trauma mediating the relationship between negative parenting styles and depressive symptoms （effect size=0.018， 95% CI： 0.013-0.024）. Social support servesed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.080， 95% CI： 0.069-0.092）， as well as between negative parenting styles and childhood trauma （β=0.041， 95% CI： 0.032-0.050）. It also functioned as an intermediary pathway linking learning burnout to depressive symptoms （β=0.092， 95% CI： 0.081-0.104） and connecting learning burnout with childhood trauma （β=0.048， 95% CI： 0.037-0.058）. Additionally， psychological resilience serveed as a mediating pathway between negative parenting styles and depressive symptoms （β=0.004， 95% CI： 0.002-0.007）， between learning burnout and depressive symptoms （β=0.037， 95% CI： 0.023-0.052）， and between childhood trauma and depressive symptoms （β=0.003， 95% CI： 0.001-0.006）. ConclusionLearning burnout exerts a direct effect on adolescent depressive symptoms. Negative parenting styles influence depressive symptoms both directly and indirectly through childhood trauma. Furthermore， social support and psychological resilience serve as mediator linking negative parenting styles and learning burnout to depressive symptoms in adolescents. ［Funded by Science and Technology Project of the Health Commission of Sichuan Province （number， 24LCYJPT18）］

Superparamagnetic iron oxide nanoparticles(SPIONs)have been shown to exhibit degradability,superparamagnetic responsive-ness,and multimodal functional properties,which are expected to overcome the bottleneck of traditional separation between diagnosis and treatment in the time and space domains.Through magnetic resonance imaging(MRI)-guided intelligent delivery of targeted drugs,magnet-ic/light/acoustic multi-physical field collaborative therapy,and other strategies,the tumor microenvironment can be precisely regulated and drug resistance can be reversed.Herein,we systematically review the core mechanisms of SPIONs in cross-scale diagnosis and treatment and discuss the innovative application mechanism and technical progress of SPIONs in regard to the integration of tumor theranostics.SPIONs provide breakthrough solutions for the precise diagnosis and treatment of tumors through MRI navigation,targeted delivery system con-struction,and multimodal strategies,offering a theoretical foundation.However,current studies continue to encounter various challenges,including inadequate biosafety validation,restricted efficiency of targeted delivery due to tumor heterogeneity,and complexity of optimiz-ing parameters for multimodal synergistic treatments.Further refinement of material design and clinical translation strategies are essential for providing a valuable reference for developing systematic solutions that bridge theoretical innovations with technological implementation in tumor precision medicine.

This article introduced the experience of physician Chen Shiduo of the Qing Dynasty in treating hyperhidrosis as documented in Bian Zheng Lu.Chen Shiduo proposed several syndromes for hyperhidrosis,including insufficient lung qi,imbalance between the heart and kidney,depletion of kidney yin,excessive stomach fire,and deficiency of heart blood.In terms of treatment,he advocated for methods that focus on reinforcing deficiency and consolidating the exterior while also nourishing yin,clearing heart heat and nourishing kidney water,replenishing true yin to harmonize yin and yang,nourishing stomach yin to reduce fire and stop sweating,and nourishing the heart to enrich blood and drain fire.His medication approach emphasizes harmonizing the internal organs,with a particular expertise in using Mori Folium.His diagnosis and treatment of hyperhidrosis have been remarkably effective and serve as a reference for later generations.

Objective To investigate the mechanism and optimal concentration of anrotinib on ovarian clear cell carcinoma.Methods Ovarian clear cell carcinoma cells were cultured in vitro,by using renal clear cell carcinoma cells and renal papillary cell carcinoma cells as control cancer cells,and the effects of different concentrations of anlotinib(5,10,15,20μmol/L)on the proliferation,migration,and invasion capabilities of three cancer cell lines were investigated.Compared with the experimental results of renal clear cell carcinoma cells and renal papillary cell carcinoma cells,the advantages of anlotinib on ovarian clear cell carcinoma cells were investigated and advanced its position in clinical practice.Results Anlotinib at the concentrations of 5,10,15,and 20μmol/L can effectively inhibit the proliferation,migration,and invasion ability of ovarian clear cell carcinoma cells,renal clear cell carcinoma cells,and renal papillary cell carcinoma cells.Among them,the optimal action concentration of anlotinib on all three cancer cells fell in the range of 5-10 μmol/L.However,in the three cancer cells,anlotinib was more potent in ovarian clear cell carcinoma cells.Conclusion The effect of anlotinib on ovarian clear cell carcinoma cells has obvious advantages over renal clear cell carcinoma cells and renal papillary cell carcinoma cells,with the optimal concentration of 5-10 μmol/L.