BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

AIM: To investigate the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters in patients with hypertensive retinopathy(HRP).METHODS: A total of 50 patients(22 left eyes and 28 right eyes)with HRP admitted to our hospital from June 2021 to June 2023 were retrospectively included as the experimental group, and 50 healthy physical examination subjects(22 left eyes and 28 right eyes)during the same period were included as the healthy group. Pearson correlation was used to analyze the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters.RESULTS: The AUC values of fundus blood flow parameters and carotid artery ultrasound blood flow parameters and their combined diagnosis of HRP were 0.853, 0.844 and 0.935, respectively. Pearson correlation analysis showed that carotid systolic peak blood flow velocity was negatively correlated with foveal avascular zone(FAZ)area, FAZ circumference and non-circularity index, and positively correlated with macular vascular density(all P<0.05). The end-diastolic blood flow velocity was positively correlated with FAZ area and macular vascular density(all P<0.05). The internal carotid artery resistance index was positively correlated with FAZ area(P<0.05).CONCLUSION: The combination of fundus blood flow parameters and carotid artery ultrasound blood flow parameters in the diagnosis of HRP has good application value in the diagnosis of HRP.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.

Objective:To detect the expression of L-type amino acid transporter 1(LAT1)in non-Hodgkin's lymphoma(NHL)tissues,and analyze its effect on clinicopathological characteristics and prognosis of patients.Methods:A total of 92 NHL patients who were treated in our hospital from January 2017 to April 2019 were collected.The expression of LAT1 in NHL tissue was detected by immunohistochemistry and compared between patients with different pathological features(including sex,Ann Arbor stage,extranodal infiltration,Ki-67).The risk factors affecting mortality were analyzed using univariate and multivariate Cox proportional hazards regression.Receiver operating characteristic(ROC)curve was used to detect the predictive value of percentage of LAT1-positive cells in NHL tissue for patient mortality,and analyzing the effect of percentage of LAT1-positive cells on survival rate.Results:LAT1 was positively expressed in NHL tissue.The high expression rate of LAT1 in Ann Arbor stage Ⅲ and Ⅳ groups were higher than that in Ann Arbor stage Ⅰ group,that in extranodal infiltration group was higher than non-extranodal infiltration group,and that in Ki-67 positive expression group was higher than Ki-67 negative expression group(all P＜0.05).The remission rate after 3 courses of treatment in high-LAT1 expression group was 70.7％,which was lower than 91.2％in low-LAT1 expression group(P＜0.05).Ann Arbor stage Ⅲ and Ⅳ,extranodal invasion,Ki-67 positive expression and increased expression of LAT1(LAT1-positive cell percentage score ≥ 2)were risk factors for mortality.The cut-off value of percentage of LAT1-positive cells for predicting NHL death was 45.6％,and the area under the ROC curve was 0.905(95％CI:0.897-0.924).The 3-year survival rate of high-LAT1 level group(the percentage of LAT1-positive cells ≥ 45.6％)was 50.00％,which was lower than 78.26％of low-LAT1 level group(P＜0.05).Conclusion:The expression level of LAT1 in NHL tissue increases,which affects Ann Arbor stage and extranodal infiltration of patients.LAT1 is a risk factor for death.

Objective:To screen interleukin(IL)-1β secretion-related membrane transporters by macrophage experiment in vitro and conventional knockout mice.Methods:THP-1 cell line was differentiated to obtain human THP-1-derived macrophages,and the primary macrophages were obtained from human peripheral blood.FVB wild-type mice with the same sex and age were used as the controls of MRP1 knockout mice.The macrophages in abdominal cavity and bone marrow of mice were cultivated.The cells were treated with ABCC1/MRP1,ABCG2/BCRP,ABCB1/P-gp,OATP1B1,and MATE transporter inhibitors,then stimulated by lipopolysaccharide and adenosine triphosphate.The secretion level of IL-iβ was detected by ELISA,Western blot,and immunofluorescence.Results:After inhibiting ABCC1/MRP1 transporter,the secretion of IL-1β decreased significantly,while inhibition of the other 4 transporters had no effect.In animal experiment,the level of IL-1 β secreted by macrophages in bone marrow of MRP1 knockout mice was significantly lower than control group(P＜0.05).Conclusion:ABCC1/MRP1 transporter is a newly discovered IL-1β secretion pathway,which is expected to become a new target for solving clinical problems such as cytokine release syndrome.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.

Objective To investigate the application of artificial intelligence-based follow-up plan for patients after percutaneous coronary intervention(PCI).Methods The follow-up plan of artificial intelligence after PCI was constructed through literature review and expert correspondence consultation.A total of 82 patients with coronary heart disease who underwent PCI in the Second Affiliated Hospital of Nanchang University from October 2022 to November 2023 were selected and divided into intervention group and control group according to random number table method,with 41 cases in each group.The control group was given routine nursing program,and the intervention group was added artificial intelligence-based follow-up program on the basis of control group.The incidence of major adverse cardiovascular event(MACE)within 6 months,30 days readmission rate,medication compliance and satisfaction score were compared between two groups.Results The incidence of MACE within 6 months and 30 days readmission rate in intervention group were significantly lower than those in control group(P＜0.05).After 6 months of intervention,Morisky scale score and satisfaction score of patients in two groups were significantly higher than before intervention(P＜0.05),and Morisky scale score and satisfaction score of patients in intervention group were significantly higher than those in control group(P＜0.05).Conclusion Follow-up program based on artificial intelligence technology can reduce the incidence of MACE and 30 days readmission rate of patients after PCI.

Objective:To compare the correlation and consistency of central corneal thickness (CCT) measured by four different instruments, specular microscope SP-1P, IOLMaster 700, Pentacam HR and RTVue XR-OCT.Methods:A diagnostic test study was performed.A total of 50 right eyes of 50 consecutive outpatients who planned to undergo corneal refractive surgery at Hanyang Aier Eye Hospital from January to May 2022 were included.CCT was measured with the specular microscope SP-1P, IOLMaster 700, Pentacam HR and RTVue XR-OCT, respectively.The differences of CCT measurements by the four instruments were compared.The correlation and consistency between the CCT values was analyzed by Pearson linear analysis and Bland-Altman test, respectively.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Hanyang Aier Eye Hospital (No.HYEYE20221229JM).Written informed consent was obtained from each subject.Results:The mean CCT values measured by SP-1P, IOLMaster 700, Pentacam HR and RTVue XR-OCT were (522.68±30.08), (544.06±32.85), (541.00±31.75) and (528.86±31.60)μm, respectively, with a statistically significant overall difference ( F=5.09, P=0.002).CCT measurements obtained with SP-1P were lower than those obtained with IOLMaster 700 and Pentacam HR, while the IOLMaster 700 measurements were higher than those of RTVue XR-OCT, showing statistically significant differences (all at P<0.05).Pearson correlation analysis revealed significant positive correlations of CCT measurements between SP-1P and IOLMaster 700, SP-1P and Pentacam HR, SP-1P and RTVue XR-OCT, IOLMaster 700 and Pentacam HR, IOLMaster 700 and RTVue XR-OCT, Pentacam HR and RTVue XR-OCT ( r=0.988, 0.980, 0.988, 0.981, 0.982, 0.973; all at P<0.01).Bland-Altman consistency analysis showed that the 95% limits of agreement (95% LoA) for CCT measurements between SP-1P and RTVue XR-OCT, IOLMaster 700 and Pentacam HR were -16.46-6.14 and -10.56-14.48 μm, respectively, with 3(6%) and 2(4%) data points outside the 95% LoA, respectively.The mean difference lines for the CCT measurements were close to 0, indicating good consistency and clinically acceptable differences without statistical significance. Conclusions:CCT values measured with specular microscope SP-1P and RTVue XR-OCT, as well as those measured with IOLMaster and Pentacam HR, are relatively close in patients with low to moderate myopia, show good consistency and can therefore be considered interchangeable.

Objective To investigate the clinical application value of colorectal double contrast-enhanced ultrasonography in diagnosing colorectal lesions and TN staging of colorectal cancer.Methods The clinical data of 479 patients with positive colorectal doulble contrast-enhanced ultrasonography results admitted to some hospital from November 2019 to December 2022 were selected retrospectively.The distributions of colorectal lesions and TN stages of colorectal cancer diagnosed by colorectal double contrast-enhanced ultrasonography were counted using the pathological results as the gold standard.The clinical diagnostic efficacy of colorectal double contrast-enhanced ultrasonography for TN staging of colorectal cancer was analyzed,and the ROC curves of the T and N staging models for diagnosing colorectal cancer were plotted by applying the 1VSRest strategy.SAS 9.4 statistical software was used to analyze the data.Results Among the 479 patients included,there were 462 cases in which the pathological diagnosis and ultrasound diagnosis were consistent with each other,with a compliance rate of 96.5％;there were 427 cases of colorectal cancer,accounting for 89.1％.Colorectal double contrast-enhanced ultrasonography had the accuracies being 96％,82％,63％,79％and 97％respectively for T1,T2,T3,T4a and T4b stages of colorectal cancer,with the micro-mean value of the accuracy being 83％.The accuracies were 62％,68％and 80％for NO,N1 and N2 stages of colorectal cancer,with the micro-mean value of the accuracy being 70％.The micro-mean value for T staing model to diagnose colorectal cancer was 0.92,and the macro-mean value was 0.84;the micro-mean value for N staing model to diagnose colorectal cancer was 0.88,and the macro-mean value was 0.85.Conclusion Colorectal doube contrast-enhanced ultrasonography is effective for diagnosing colorectal lesions,and provides references for TN staging of colorectal cancer.[Chinese Medical Equipment Journal,2024,45(7):62-66]