ObjectiveTo analyze the research status, hotspots and development trends in the application of virtual reality (VR) technology in managing negative emotions and postoperative rehabilitation of perioperative patients over the past decade. MethodsLiteratures related to the application of VR technology in managing negative emotions and postoperative rehabilitation of perioperative patients were retrieved from Web of Science Core Collection database and CNKI, covering the period from January, 2015 to August, 2025, and CiteSpace 6.3.R1 was used for bibliometric analysis. ResultsA total of 267 English literatures and 130 Chinese literatures were included, with the annual number of publications showing an upward trend. The United States was the country with the largest number of publications in English literatures, and Erasmus University Rotterdam was the institution with the largest number of publications. High-frequency keywords included virtual reality, pain, surgery, anxiety and distraction. Research hotspots mainly focused on functional exercise, negative emotions, pain management and multimodal intervention strategies. English researches were deepening towards virtual reality exposure therapy, mechanism exploration and personalized schemes, while Chinese researches focused more on the verification of rehabilitation effects. ConclusionResearches on the application of VR technology in the management of perioperative patients are rapidly developing, with research hotspots shifting from single technology application to multimodal and personalized integrated intervention. Future research should focus on exploring its intervention mechanisms, personalized schemes and the breadth of cross-departmental applications.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

A case of secondary pulmonary infection in a patient with acute exacerbation of chronic obstructive pulmonary disease was admitted.The patient was initially giren piperacillin-tazobactam combined with levofloxacin for anti-infective treatment before the pathogen was identified.lafer,the HRZE anti-tuberculosis regimen was added,but the patient continued to experience high fever,yellow purulent sputum,and dyspnea.Subsequent,bronchoalveolar lavage fluid pathogen metagenomic sequencing revealed Nocardia terpenica.Clinical pharmacists,based on the patient's condition changes and in accordance with relevant guidelines and literature,suggested using various antimicrobial agents,including compound sulfamethoxazole tablets,linezolid glucose injection,amikacin injection combined with imipenem-cilastatin,to manage the patient's intolerance to sulfonamides and the bone marrow suppression induced by linezolid and to provide medication suggestions.The clinician adopted all the suggestions.Through the collaborative efforts of physicians and clinical pharmacists,the patient's condition improved,allowing for discharge with medication.Post-discharge,medication education and follow-up were conducted,leading to successful recovery.In this case,the clinical pharmacist reviewed domestic and international literature on Nocardia terpenica and the characteristics of antimicrobial drugs,and utilized their expertise to assist clinicians in treating rare infection cases,realizing their professional value.

Objective:To develop an intelligent recognition and precise segmentation technique using ultrasonic images，and to enhance diagnostic efficiency and accuracy.Methods:A total of 1，430 patients diagnosed with uterine fibroids through transvaginal ultrasonography at the Maternal and Child Health Hospital of Guangming from November 2020 to October 2024 were retrospectively included. Ultrasonic images were manually annotated by two experienced physicians and reviewed by a senior expert. The Mask DINO deep learning model was used for lesion segmentation，and the segmentation results were optimized using ellipse fitting technology. Model performance was evaluated using the Dice coefficient，intraclass correlation coefficient（ICC），mean absolute error（MAE），and measurement accuracy.Results:In the test set of 286 cases，the average Dice coefficient of model prediction was 0.992，indicating extremely high segmentation accuracy. The average accuracy of lesion identification by the model was 0.909，with 241 correctly identified samples，19 basically correct samples，and 26 incorrect samples. In terms of long and short axis measurements，the ICC of the model's direct predictions were 0.871（short axis）and 0.784（long axis），with MAE of 0.436 cm（short axis）and 0.508 cm（long axis）. After optimization with ellipse fitting，the ICC increased to 0.893（short axis）and 0.866（long axis），and the MAE decreased to 0.191 cm（short axis）and 0.274 cm（long axis），the measurement accuracy improved significantly.Conclusions:The intelligent recognition and precise segmentation technique for uterine fibroids based on ultrasonic images constructed in this study performed excellently in lesion segmentation and measurement，it can significantly improve the efficiency and accuracy of diagnosis.

Porcine reproductive and respiratory syndrome(PRRS),an infectious disease,poses a significant threat to the swine industry.The causative agent of the disease is porcine reproductive and respiratory syndrome virus(PRRSV),which primarily infects porcine alveolar macrophages and destroys the immune system.In the absence of specific antiviral drugs targeting PRRSV,vacci-nation is of paramount importance for the prevention and control of this disease.Currently,there are numerous types of PRRS vaccines,such as attenuated live vaccines,inactivated vaccines,sub-unit vaccines,DNA vaccines,vector vaccines,and so forth.However,only attenuated live virus and inactivated virus vaccines are widely employed for the prevention and control of PRRS.Live vac-cines offer relatively better protection effects,but they have weak cross-protection and pose safety concerns.Inactivated vaccines are safe but have poor immunogenicity.This article conducts a com-prehensive review of the advantages,disadvantages,and applicability of PRRS vaccines,including attenuated live vaccines,inactivated vaccines,subunit vaccines,vector vaccines,DNA vaccines,mR-NA vaccines,virus-like particle vaccines,etc.,aiming to provide a theoretical basis for the research and development of the next generation of PRRS vaccines.

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.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective:To investigate differentially expressed lipid molecules and their associated metabolic pathways in lung tissue using lipidomic analysis in a rat model of acute lung injury (ALI).Methods:An ALI rat model was established via intratracheal instillation of lipopolysaccharide (LPS). Twenty rats were randomly allocated into an ALI group and a control group ( n = 10 per group). The left lung was subjected to histopathological evaluation, while the right lung underwent untargeted lipidomics analysis. Ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed for lipid profiling. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were performed to assess intergroup differences and determine variable importance in projection (VIP) scores. Differential lipids were screened based on VIP and fold change.Lipid identification and metabolic pathway analysis were conducted using MetaboAnalyst 5.0 and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Results:Among 1 022 detected lipid molecules, 47 were differentially expressed (VIP > 1, FC > 2.0 or < 0.5, P< 0.05). Subsequent analysis identified 12 structurally annotated lipids ( P < 0.05), predominantly enriched in glycerophospholipid metabolism, linoleic acid metabolism, and α-linolenic acid metabolism pathways. Notably, phosphatidylcholines (PCs) and lysophosphatidylcholines (LPCs) exhibited significant alterations in the ALI group. Conclusions:The ALI model demonstrated substantial dysregulation of lipid metabolism, particularly involving PCs and LPCs, with prominent perturbations in glycerophospholipid metabolism. This provides a scienctific basis for indepth research on the pathogenesis mechanism of ALI/acute respiratory distress syndrome (ARDS) .

Objective To investigate the expression and prognostic value of microRNA-29b-2-5p(miR-29b-2-5p)and syntaxin 16(STX16)in hepatocellular carcinoma(HCC).Methods The cancer tissues and adjacent tissues of 88 HCC patients diagnosed in Nantong Tumor Hospital from January 2013 to September 2020 were collected.The expressions of miR-29b-2-5p and STX16 in cancer tissues and adjacent tissues were analyzed by real-time fluorescent quantitative PCR.The expression of STX16 protein in cancer tissues and adjacent tissues were analyzed by immunohistochemistry.Pearson correlation analysis was used to analyze the correlation be-tween miR-29b-2-5p and STX16.Non-parametric χ2 test was used to analyze the relationship between the ex-pression of the two proteins and clinicopathological parameters,and Kaplan-Meier survival curve was used to analyze the relationship between the expression of the two proteins and prognosis.Results The relative ex-pression level of miR-29b-2-5p was 0.780(0.351,1.708)in cancer tissues and 1.014(0.458,3.124)in adja-cent tissues in 88 HCC patients.The relative expression level of miR-29b-2-5p in cancer tissues was signifi-cantly lower than that in adjacent tissues(P=0.012).The relative expression level of STX16 mRNA was 0.775(0.406,0.946)in cancer tissues and 0.368(0.080,1.301)in adjacent tissues in 88 HCC patients.The relative expression level of STX16 mRNA in cancer tissues was significantly higer than that in adjacent tissues(P<0.01).Immunohistochemical results showed that STX16 was expressed in the cytoplasm,and the expres-sion of STX16 in cancer tissues was higher than that in adjacent tissues(P<0.05).The expression of miR-29b-2-5p in cancer tissues was related to cancer stage(P<0.05),and the expression of STX16 was related to cancer stage and alpha-fetoprotein(P<0.05).Patients with low miR-29b-2-5p expression had a shorter over-all survival(OS)than those with high miR-29b-2-5p expression,and patients with high STX16 expression had a shorter OS than those with low STX16 expression(P<0.05).Conclusion The expression of miR-29b-2-5p is low and STX16 is high in HCC tissues.The combined detection of miR-29b-2-5p and STX16 can effectively evaluate the prognosis of HCC patients.

Objective To explore the relationship between hemoglobin/red blood cell distribution width ra-tio(Hb/RDW)and chemotherapy sensitivity and prognosis in patients with oral squamous cell carcinoma(OSCC).Methods A total of 150 patients with advanced OSCC admitted to the hospital from January 2017 to January 2021 were selected into the study group.150 patients with other oral diseases who were diagnosed and treated for non-OSCC in the hospital during the same period were selected into the control group.Another 100 healthy subjects who underwent physical examination in the hospital during the same period were selected into the healthy group.Patients with OSCC were treated with chemotherapy,and blood routine indexes were detec-ted by automatic blood analyzer,and Hb/RDW ratio was calculated.Hb,RDW and Hb/RDW ratio were com-pared between the two groups and the relationship between Hb/RDW ratio and the sensitivity and prognosis of OSCC patients with chemotherapy were analyzed.The factors affecting the sensitivity of OSCC patients to chemotherapy were explored by multivariate Logistic regression.Results Hb and Hb/RDW in the study group were significantly lower than those in the control group and the healthy group,and RDW levels were significantly higher than those in the control group and the healthy group(P＜0.05).The patients with OS-CC were divided into high Hb/RDW group and low Hb/RDW group using the median Hb/RDW ratio(8.16)as the cut off value.The total effective rate of chemotherapy in Hb/RDW high ratio group was 70.67％,which was higher than that in Hb/RDW low ratio group 53.33％(P＜0.05).According to the sensitivity of chemo-radiotherapy,the study group was divided into sensitive group(n=103)and resistant group(n=47).The proportion of patients with stage Ⅳ,low differentiation and lymph node metastasis in resistance group was higher than that in sensitive group(P＜0.05).Multivariate Logistic regression analysis shows that TNM stage Ⅳ(OR=2.512,95％CI:1.588-3.973),low tumor differentiation(OR=2.237,95％CI:1.427-3.938),lymph node metastasis(OR=2.821,95％CI:1.607-4.951),Hb/RDW≤8.16(OR=3.540,95％CI:2.001-6.261)were risk factors for chemotherapy sensitivity in cases with OSCC(P＜0.05).The 3-year survival rate of OSCC cases in the high Hb/RDW group was 74.67％(56/75)and that in the low Hb/RDW group was 58.67％(44/75),There was a statistically significant difference in the 3-year survival rate between two groups(x2=4.320,P=0.038).Conclusion Hb/RDW is low expression in patients with OSCC,and is re-lated to the sensitivity and prognosis of patients with chemotherapy,which is expected to be a potential mark-er for predicting the sensitivity and prognosis of OSCC.