In recent years, the widespread application of chest computed tomography (CT) screening has led to a significant increase in the detection rate of pulmonary nodules. As a critical diagnostic tool for early-stage lung cancer, video-assisted thoracic surgery (VATS) has emerged as the preferred therapeutic approach for pulmonary nodules. Clinical evidence demonstrates that precise preoperative localization significantly enhances surgical success rates (reducing conversion to thoracotomy), minimizes complications, and shortens operation time. This comprehensive review systematically evaluates six cutting-edge localization techniques: percutaneous puncture-assisted localization, electromagnetic navigation bronchoscopy (ENB) localization, 3D-printed auxiliary localization, basin-analysis-based localization, robotic navigation system localization, and mixed reality (MR)-guided localization. By critically analyzing their operational principles, efficacy, safety profiles, and clinical applicability, this paper aims to provide evidence-based recommendations for optimizing clinical decision-making in pulmonary nodule management.
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Humans ; Lung Neoplasms/diagnosis* ; Solitary Pulmonary Nodule/diagnostic imaging* ; Thoracic Surgery, Video-Assisted/methods* ; Multiple Pulmonary Nodules/diagnostic imaging* ; Tomography, X-Ray Computed

" Mutual recognition and sharing of medical examination and test results in Zhejiang Province" (MRZJ) holds significant value in rationally utilizing healthcare resources, reducing patient costs, streamlining treatment procedures, and enhancing patient satisfaction. This study reviewed the development of medical test result mutual recognition in China and summarized the implementation of MRZJ at Zhejiang Provincial People′s Hospital. Since its launched in October 2021, the hospital had achieved interoperability through enhanced organizational leadership, standardized coding, process optimization, capacity building, quality control reinforcement, and public awareness campaigns. By March 2024, MRZJ covered all outpatient departments of the pilot hospital, with 936 items recognized daily, improving healthcare efficiency and generating notable social and economic benefits. These outcomes provided references for advancing nationwide medical test mutual recognition. Future efforts should focused on strengthening standardized training, refining performance evaluation mechanisms, developing MRZJ early warning functions, and safeguarding patients′ informed consent and choice rights.

Objective To conduct a scoping review of the application of gamification programs in exercise rehabilitation for knee osteoarthritis,examining the application carriers,game content,outcome indicators,measurement tools,and application effects of gamification programs,to provide references for future practice and related research in this field.Methods The search was conducted in PubMed,Web of Science,Cochrane Library,Scopus,CIN AHL,China National Knowledge Infrastructure,CNKI,and Wanfang Data from their inception to December 28,2024.The included studies were summarized and analyzed.Results A total of 28 studies were included in the review.The game carriers encompassed virtual reality technology,sensor devices,and mobile applications.The game content covered interactive motion games,aerobic exercises,and goal-motivated games.Outcome indicators included functional performance,physical activity,pain,psychological and health status,and user experience.Gamification programs were found to effectively enhance user engagement,improve physical function,reduce negative emotions,and improve quality of life.However,there remains controversy regarding their efficacy in pain relief.Conclusion Gamification programs have shown positive effects in exercise rehabilitation for knee osteoarthritis.Future efforts should focus on developing gamification programs that are culturally appropriate for China,creating"digital therapeutics",continuously updating systems,conducting economic evaluations,and ensuring digital equity to enhance patients'rehabilitation experiences and improve health outcomes.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

BackgroundPatients with schizophrenia experience low quality of life， and internalized stigma is considered an important indicator for quality of life， while the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life remains underexplored. ObjectiveTo examine the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life， so as to provide references for improving their quality of life. MethodsA total of 342 patients with schizophrenia who were hospitalized in 6 hospitals in Xiangyang City， Siping City and Changchun City from April to September 2023 were included， and all of whom met the diagnostic criteria for schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10）. Internalized Stigma of Mental Illness Scale （ISMI）， Schizophrenia Quality of Life Scale （SQLS）， Self-Esteem Scale （SES） and negative symptom subscale of Positive and Negative Symptom Scale （PANSS） were administered to all patients. Spearman correlation analysis was adopted to determine correlations between the different scales. A structural equation modeling was constructed using Amos 28.0， and Bootstrap method was employed to verify the mediating effect of self-esteem and negative symptom severity in the association between internalized stigma and quality of life. ResultsA total of 309 patients （90.35%） completed questionnaires in this study. The ISMI score of schizophrenia patients was positively correlated with both SQLS score and the PANSS negative symptom subscale score （r=0.612， 0.492， P<0.01）， while was negatively correlated with SES score （r=-0.513， P<0.01）. The SQLS score was negatively associated with the SES score （r=-0.555， P<0.01） and positively associated with PANSS negative symptom subscale score （r=0.672， P<0.01）. The SES score was negatively correlated with PANSS negative symptom subscale score （r=-0.433， P<0.01）.The total effect value of internalized stigma on quality of life was 0.746 （95% CI： 0.680~0.806）. Self-esteem and severity of negative symptoms independently mediated the relationship between internalized stigma and quality of life， and the indirect effect values were 0.151 （95% CI： 0.062~0.254） and 0.126 （95% CI： 0.047~0.205）， accounting for 20.24% and 16.89% of the total effect， respectively. In addition， a chained mediation effect of self-esteem and quality of life was also demonstrated， the indirect effect value was 0.102 （95% CI： 0.049~0.165）， accounting for 13.67% of the total effect）. ConclusionInternalized stigma in patients with schizophrenia patients can not only directly affect the quality of life， but also indirectly affect the quality of life of patients through either separate or chained mediation of self-esteem and the severity of negative symptoms. ［Funded by Hubei Provincial Undergraduate Innovation and Entrepreneurship Project （number， S202410519027）］

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Objective:To explore the characteristics of systemic immune microenvironment during the progression of dextran sulfate sodium(DSS)-induced acute ulcerative colitis(UC)induced in mice by Mass cytometry(CyTOF).Methods:Male C57BL/6 mice were randomly divided into control group and model group.The control group was given normal drinking water for 15 d.The mouse in the model group were given 5%DSS in drinking water,which was changed to normal drinking water after 7 days.In the model group,peripheral blood was collected on days 4,9 and 15,respectively.CyTOF was used to detect the expressions of 33 immune cell markers and changes in cell subsets in peripheral blood of mice,and the characteristics of systemic immune microenvironment in mice with acute UC were analyzed.Results:The cluster analysis of 33 kinds of immune cell markers showed that CD45+cells in peripheral blood of mice with DSS induced acute UC were divided into 23 fine subgroups,among which the proportions of B cell subgroup,T cell subgroup and neutrophil subgroup showed significant changes.A further dimensional reduction cluster analysis of T cell subsets found significant differences in the composition and proportion of the 10 identified T cell subsets.Conclusion:The systemic immune micro-environment map of mice with acute UC induced by DSS has been successfully constructed,and heterogeneity has been found in the systemic immune microenvironment of mice with acute UC.The changes and activation degree of T cell subpopulations are closely re-lated to disease progression and inflammation level.The results of this study provide theoretical basis for assisting the diagnosis,moni-toring the risk,progression,treatment and prognosis of acute UC.

BACKGROUND:There are few studies on the effect of different patellar morphologies on the outcome after unicompartmental knee arthroplasty.OBJECTIVE:To investigate the effect of different patellar morphologies on functional recovery and patellofemoral joint alignment after unicompartmental knee arthroplasty based on patellar Wiberg classification.METHODS:A retrospective study was conducted in 186 patients with medial knee osteoarthritis who underwent unicompartmental knee arthroplasty at Affiliated Hospital of Xuzhou Medical University between January 2022 and March 2023.Patients were categorized into group A(type Ⅰ,n=43),group B(typeⅡ,n=104),and group C(type Ⅲ,n=39)according to the Wiberg classification.The Hospital for Specia Surgery knee score,Feller score,and incidence of anterior knee pain,as well as radiologic data(patellar index,patellar tilt angle,and lateral patellofemoral angle)were compared among the three groups.RESULTS AND CONCLUSION:(1)There was no significant difference in the Feller patellar score and Hospital for Specia Surgery score at the final postoperative follow-up in patients with Wiberg type Ⅰ,type Ⅱ,and type Ⅲ patellae(P＞0.05).(2)Although there was no significant difference in the incidence of anterior knee pain among the three groups at the final follow-up,patients with type Ⅲ patellae were significantly more likely to have experienced anterior knee pain early in the postoperative period.(3)Different patellar morphologies can improve patellar position to some extent after unicompartmental knee arthroplasty,but type Ⅲ had greater patellar tilt than types Ⅰ and Ⅱ,both preoperatively and postoperatively.(4)This finding highlights the need for tailored morphological adjustments to the Wiberg Ⅲ patella during unicompartmental knee arthroplasty to improve surgical outcomes.