Objective:To investigate the impact of immunosuppressive therapy on the severity of SARS-CoV-2 infection and cytokine levels in pediatric patients with kidney diseases.Methods:A retrospective analysis was conducted on the clinical data of 40 hospitalized pediatric patients who were diagnosed with SARS-CoV-2 infection at the 900th Hospital of PLA Joint Logistic Support Force from December 2022 to February 2023. Based on their immunosuppressive status prior to SARS-CoV-2 infection, these patients were categorized into immunosuppressive group and non-immunosuppressive group. Independent sample t-tests, Mann-Whitney U tests, and χ2 test were employed to compare the clinical baseline characteristics and laboratory data, the severity of SARS-CoV-2 infection, and the levels of cytokines between the 2 groups. Results:Among the 40 patients, 11 were in the immunosuppressive group (aged 13 (8, 14) years, 9 males and 2 females) and 29 in the non-immunosuppressive group (aged 2 (1, 4) years, 15 males and 14 females). In the immunosuppressive group, 2 were asymptomatic cases, 8 were mild cases, and 1 was moderate case, and there was no severe or critical cases. In the non-immunosuppressive group, 8 were mild cases, 5 were moderate, 15 were severe cases, 1 was critical case, and no asymptomatic cases. The underlying diseases in the immunosuppressive group included nephrotic syndrome (6 cases), IgA vasculitis nephritis (2 cases), lupus nephritis (1 case), post-renal transplantation (1 case), and renal failure (1 case), with a mean total immunosuppression score (TIS) of (3.6±1.4) points. In the non-immunosuppressive group, 2 patients had a history of epilepsy, and the remaining 27 cases had no underlying conditions, all with TIS scores of 0. Compared to the children in the non-immunosuppressive group, those in the immunosuppressive group were more likely to exhibit asymptomatic or mild infection, with lower risks of severe disease, cytokine storm, fever, and cough, but a higher risk of fatigue ( OR=1.22, 2.66, 0.48, 0.12, 0.12, 0.13, 1.22; 95% CI 0.93-1.62, 0.99-7.15, 0.33-0.70, 0.03-0.57, 0.03-0.57, 0.03-0.65, 0.93-1.62; all P<0.05). The levels of cytokine IL-6, interferon-α and interferon-γ in the immunosuppressive group were all lower than those in the non-immunosuppressive group ( Z=2.23, 2.51, 2.92, respectively; all P<0.05). Conclusion:Pediatric patients with kidney diseases receiving appropriate immunosuppressive therapy may mitigate the severity of SARS-CoV-2 infection by suppressing the expression of cytokines.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

Objective:To investigate the correlation between the expression of the immunohistochemical marker cytokeratin (CK)-19 and the clinical characteristics and prognosis of dual-phenotype hepatocellular carcinoma (DPHCC).Methods:The data of patients diagnosed with hepatocellular carcinoma (HCC) who underwent surgical resection were collected. DPHCC cases were screened by immunohistochemistry, followed up, and grouped. The correlation between the expression of the immunohistochemical marker CK-19 and the clinical pathological characteristics and prognosis of DPHCC was analyzed by statistical methods. The enumeration data were compared using the χ2 test or Fisher's exact probability method between groups. Results:The expression of CK19 was significantly correlated with factors such as the tumor size, histological grade, liver tissue cirrhosis surroundings, microvascular invasion (MVI), and serum carbohydrate antigen 199 (CA-199) levels in DPHCC, and the differences were statistically significant ( P<0.05). There was no significant correlation between the expression of CK19 and the gender, age, tumor necrosis, multiple lesions, liver capsule invasion, serum alpha-fetoprotein (AFP), and immunohistochemical CK7 and mucin 1 (MUC-1) in DPHCC patients, and the differences were not statistically significant ( P>0.05). The results of univariate analysis showed that immunohistochemical CK19 expression, MVI, number of lesions, tumor necrosis, tumor differentiation degree, serum AFP, and carbohydrate antigen 199 levels were related factors affecting the prognosis in DPHCC patients ( P<0.05); while gender, age, capsule invasion, tumor size, and expression of immunohistochemical markers (vascular endothelial growth factor, CK7, MUC-1) were not significantly correlated with the prognosis in DPHCC patients ( P>0.05). The results of multivariate analysis showed that tumor necrosis ( P=0.042, 95% CI: 1.031-5.501) and serum AFP levels were independent risk factors affecting the prognosis in DPHCC patients ( P<0.001, 95% CI: 2.581-24.075). Conclusions:The expression of CK19 is closely related to the prognosis of patients with DPHCC. Patients with high CK19 expression have faster disease progression than those with low CK19 expression. Furthermore, the overall survival rate of patients with high CK19 expression is significantly lower than that of patients with low CK19 expression, which is a risk factor for poor prognosis in patients with DPHCC.

Solitary hepatocellular carcinoma (HCC), defined as a single lesion without distant metastasis, is a subtype of primary liver cancer with high surgical resectability. Hepatectomy is considered the most effective curative treatment; however, the optimal surgical approach and resection margin width remain controversial. This review systematically examines the impact of anatomical resection (AR) versus non-anatomical resection (NAR) on prognosis in various clinical contexts. It highlights the advantages of AR in patients at high risk of recurrence, while also acknowledging the value of NAR in preserving liver function. Furthermore, the article discusses the role of wide versus narrow resection margins in postoperative recurrence control, indicating that wide margins may help eliminate potential micrometastases, though postoperative risks must be balanced in patients with limited hepatic reserve. The review proposes that a combined strategy involving both surgical approach and margin width may exert a synergistic effect in improving outcomes. Looking ahead, the integration of imaging techniques, preoperative predictive models, and individual biological characteristics will facilitate personalized and precise surgical planning, thereby optimizing the prognosis of patients with solitary HCC.

Objective To modify the YOLOv5 algorithm with similarity attention mechanism(SimAM)to enhance the recognition and segmentation accuracy of CT images for cerebral hemorrhage.Methods A basic framework was established with a YOLOv5 algorithm consisting of a backbone network(Backbone),a neck module(Neck)and a head module(Head),and then SimAM was introduced at the end of Backbone to form a YOLOv5-Sim-B algorithm and at the end of Neck to construct a YOLOv5-Sim-N algorithm.The YOLOv5-Sim-B and YOLOv5-Sim-N algorithms were trained and validated using the CT image dataset for cerebral hemorrhage publicly available on the Kaggle competition platform,and compared with the traditional YOLOv5 algorithm for recognizing and segmenting cerebral hemorrhagic lesions in CT images.Results In case the value of IoU-T was 0.6,the mean average precision(mAP)was 0.967 for YOLOv5-Sim-B algorithm,0.960 for the YOLOv5-Sim-N algorithm and 0.964 for the traditional YOLOv5 algorithm during the recognition and segmentation of cerebral hemorrhagic lesions in CT images.Conclusion The proposed algorithm gains advantages in detection accuracy and robustness,and can efficiently identify and segment cerebral hemorrhage foci in CT images.[Chinese Medical Equipment Journal,2025,46(5):1-8]

Objective:To study the impact of early blood concentrations of tacrolimus on the survival of patients after liver transplantation.Methods:Clinical data of 159 patients with liver diseases undergoing classic orthotopic liver transplantation at the Department of Hepatobiliary Surgery, the 900th Hospital of the Joint Logistics Support Force between January 2010 and December 2019 were retrospectively analyzed, including 123 males and 36 females, aged (48.0±12.2) years. According to survival status, patients were divided into the surviving group ( n=108) and death group ( n=51). Inverse probability of treatment weighting (IPTW) was applied to adjust for confounding factors by weighting covariates between the two groups. Univariate and multivariate Cox regression analysis were used to examine the relationship between early tacrolimus concentrations and mortality, and restrict cubic spline (RCS) curves were employed to assess the nonlinear relationship further. Results:After IPTW weighting, multivariate Cox regression analysis indicated that early tacrolimus concentration ( HR=2.479, 95% CI: 1.354-4.537, P<0.001) and preoperative international normalized ratio ( HR=0.358, 95% CI: 0.162-0.792, P=0.011) levels were risk factors for post-transplant survival. The RCS curve revealed that the optimal thresholds for early tacrolimus concentration were 6.30 ng/ml and 8.28 ng/ml ( P<0.001). Patients were therefore divided into the optimal concentration group ( n=60) and the non-optimal concentration group ( n=99). After IPTW weighting, the optimal concentration group comprised 102 cases, and the non-optimal concentration group included 212 cases. The 1-year, 3-year and 5-year survival rates in the optimal concentration group and the non-optimal concentration group were 97.06%, 81.37% and 75.49%, and 86.32%, 64.62% and 50.94%, respecitvely ( χ2=8.37, P<0.001). Conclusion:Early tacrolimus concentration is an independent risk factor for post-transplant survival. A tacrolimus concentration >8.28 ng/ml or <6.30 ng/ml is associated with a relatively higher mortality rate.

Objective:To analyze the effects of hemoglobin, albumin, lymphocyte and platelet count (HALP) scores on the survival of gallbladder cancer patients after radical surgery, and to construct a prognostic prediction model and evaluate based on HALP scores.Methods:The clinical data of 95 patients with gallbladder cancer who underwent surgical treatment in Fuzong Clinical Medical College of Fujian Medical University (the 900th Hospital) from January 2010 to December 2022 were retrospectively analyzed, including 40 males and 55 females, with the age of (63.3±12.2) years. All patients were divided into a low HALP group (HALP score ≤35.4, n=45) and a high HALP group (HALP score >35.4, n=50) based on the optimal cut-off value of 35.4 for predicting postoperative survival as determined by the receiver operating characteristic (ROC) curve. Survival curves were plotted by the Kaplan-Meier method, and survival comparisons were performed using the log-rank test. Univariate and multivariate Cox regression were used to analyze the effect of HALP score on survival after radical surgery in patients with gallbladder cancer. Based on the multifactorial results, nomogram was constructed to predict the survival of gallbladder cancer patients after radical surgery, and ROC curves, consistency indexes were evaluated in the model. Results:A total of 95 patients were followed up for 1-150 months, with a median of 13 months. The 1-, 3-, and 5-year postoperative cumulative survival rates of patients in the low HALP group were 56.2%, 31.2%, and 11.1%, respectively, which were lower than those of the high HALP group, which were 82.9%, 59.6%, and 40.7%, and the difference was statistically significant ( χ2=12.50, P<0.001). Based on multifactorial Cox regression analysis, preoperative total bilirubin ≥23 μmol/L, with lymph node metastasis, tumor TNM stage Ⅲ-Ⅳ, and postoperative incision infection were the risk factors for survival after radical surgery in patients with gallbladder cancer, and a HALP score of >35.4 and Child-Pugh A were protective factors (all P<0.05). Based on the results of multivariate Cox regression analysis to construct a nomogram for predicting overall survival after radical surgery in patients with gallbladder cancer, the consistency index between the prediction of the nomogram and the actual situation was 0.801 (95% CI: 0.752-0.850), and the area under the ROC curve for predicting overall survival was 0.812 (95% CI: 0.704-0.902). Conclusion:The preoperative high HALP score (HALP > 35.4) is a protective factor for survival after radical surgery in gallbladder cancer patients, and the nomogram constructed based on the HALP score for survival prediction after radical surgery for gallbladder cancer has high accuracy and can be used for the assessment of postoperative survival.

Objective To propose an improved YOLOv8 algorithm based on polarized self-attention(PSA)and deformable attention(DAT)so as to enhance the detection of pulmonary nodules in CT images.Methods A basic framework was established with a YOLOv8 model consisting of a backbone network(Backbone),a neck module(Neck)and a head module(Head).PSA was introduced into the end of the spatial pyramid pooling-fast(SPPF)of Backbone to construct a YOLOv8-PSA algorithm,and DAT was involved in the medium-scale feature layer P4 in Head to form a YOLOv8-DAT algorithm.The YOLOv8-PSA and YOLOv8-DAT algorithms were trained and validated using the CT image dataset of pulmonary nodules from public platforms,and compared with the original YOLOv8 algorithm for the detection of pulmonary nodule lesions in CT images.Results When used for pulmonary module detection of CT images,the YOLOv8-DAT algorithm had the mean average precision(mAP)in case of intersection over union threshold of 0.5(mAP50),mAP in case of intersection over union threshold of 0.5 to 0.95(mAP50-95)and precision ratio being 0.918,0.588 and 0.960 respectively,which gained advantages over the YOLOv8-PSA algorithm with mAP50,mAP50-95 and precision ratio being 0.914,0.583 and 0.945 respectively,and over the original YOLOv8 algorithm with mAP50,mAP50-95 and precision ratio being 0.911,0.564 and 0.952 respectively.Conclusion The YOLOv8-DAT algorithm detects pulmonary modules in CT images effectively,and facilitates early screening and diagnosis of pulmonary modules clinically.[Chinese Medical Equipment Journal,2025,46(8):1-10]

Objectives:To analyze the correlation between cervical spine postures and different types of odontoid fractures when injured in different directions of violence using finite element method.Methods:Based on the experience of establishing the finite element model of the upper cervical vertebrae in the early stage,and verified as effective through literature published abroad and in vitro experiments,different positions of the cervical spine(neutral position,flexion position,extension position,lateral bending position,and rotation position)were preset on the established three-dimensional nonlinear finite element model of the normal occip-ital-atlantoaxial complex,and an acceleration of 8m/s2 was applied in each direction of violence[anterior,pos-terior,lateral,top(vertical downward)].The von Mises stress values in different regions of different types(An-derson and D'Alonzo type)of odontoid process fractures were calculated,and stress contour maps were ex-tracted.Results:When subjected to anterior violence,the maximum von Mises stress values were generated in an extension position,with stress concentration in the vertebral body of the axis(Type Ⅲ)(0.41MPa).When subjected to posterior violence,the maximum von Mises stress values were generated when the cervical vertebrae were in a flexion position,with stress concentration in the odontoid process base(Type Ⅱ)(0.52MPa)and the vertebral body of the axis(Type Ⅲ)(0.55MPa).When subjected to lateral violence,the maximum von Mises stress values were generated when the cervical vertebrae were in a flexion position,with stress concen-tration in the odontoid process base(Type Ⅱ)(0.51MPa)and the vertebral body of the axis(Type Ⅲ)(0.43MPa).When subjected to vertical downward violence,the stress values in each body position increased significantly,the stress at the tip of the odontoid process(Type Ⅰ)in the flexion position reached 0.99MPa,the stress at the base of the odontoid process(Type Ⅱ)in the lateral flexion position reached 1.16MPa,and the stress at the axis vertebral body(Type Ⅲ)in the rotational position was 0.85MPa.Conclusions:When the upper cervi-cal spine is in a flexion position and receives a vertically downward force,it is prone to odontoid process tip fractures(Type Ⅰ);When the upper cervical spine is in a flexion position and receives a posterior or lateral force,or when it is in a lateral bending position and receives a vertically downward force,it is prone to odontoid process base fractures(Type Ⅱ);When the upper cervical spine is in a flexion position and receives a posterior force,or when it is in a rotational position and receives a vertically downward force,it is prone to axis vertebral body fractures(Type Ⅲ).

Objective To explore the surgical treatment experience of primary giant gastrointestinal stromal tumors(GIST)(with isolated lesions with a maximum diameter＞10 cm).Methods A retrospective analysis was conducted on the clinical and pathological data of 67 patients with primary giant GIST admitted from January 2018 to December 2024.Among them,35 cases underwent surgical operations after preoperative neoadjuvant therapy(25 effective cases and 10 ineffective cases)(neoadjuvant therapy group).Due to the initial diagnosis assessment expecting radical(R0)resection(13 cases),or preoperative complications(12 cases),or difficulty in obtaining a pathological diagnosis through puncture biopsy(7 cases),32 cases underwent direct surgery without neoadjuvant therapy(direct surgery group).Compare the general information,tumor condition,surgical condition,postoperative recovery,postoperative pathology,postoperative adjuvant therapy,and recurrence between two groups.Results Comparative analysis revealed that there was no statistically significant difference(P＞0.05)between the neoadjuvant therapy group and the direct surgery group in terms of gender,age,primary tumor location,initial maximum diameter,growth type,localized or locally advanced stage,and postoperative follow-up time.The maximum diameters of the tumors before surgery in the neoadjuvant therapy group and the direct surgery group were(12.4±7.1)cm and(18.2±5.0)cm respectively,and the operation times were(125.4±30.6)minutes and(153.0±31.7)minutes respectively.The intraoperative blood loss was(228.3±76.4)ml and(300.3±67.2)ml,respectively.The postoperative hospital stay was(9.1±2.6)days and(11.1±3.2)days,respectively.There was a statistically significant difference between the two groups(P＜0.05).The proportion of laparoscopic surgery in the neoadjuvant therapy group was 17.1％,which was higher than that in the direct surgery group(0),and the difference was statistically significant(P＜0.05).There was no statistically significant difference between the two groups in terms of the proportion of tumor rupture,combined organ resection,postoperative complications and postoperative recurrence(P＞0.05).Conclusion Primary giant gastrointestinal stromal tumors can mostly be reduced in size and progression through neoadjuvant therapy,improving the chances of minimally invasive surgery.However,there is also a risk of tumor progression during neoadjuvant therapy leading to increased surgical difficulty or even loss of curative surgical opportunities.