Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

Objective:To investigate and analyze basic status of radiotherapy units in Hebei Province in 2024.Methods:Led by the Fourth Hospital of Hebei Medical University, the Radiation Oncology Branch of the Hebei Medical Association, and the Radiation Oncology Expert Committee of the Hebei Society of Clinical Oncology, a province-wide survey was conducted using structured questionnaires. The survey covered key aspects such as basic information of radiotherapy institutions, personnel allocation, equipment configuration, and implementation of radiotherapy techniques. Collected data were summarized and descriptively analyzed comparing with a 2013 survey of radiotherapy in Hebei Province.Results:All 158 radiotherapy institutions across Hebei Province participated in the survey. A total of 2273 radiotherapy professionals were reported, including 1317 radiation oncologists (57.94%), 332 medical physicists (14.61%), 71 radiotherapy engineers (3.12%), and 553 radiotherapy technologists (24.33%). The number of radiotherapy devices significantly increased from 121 in 2013 to 237 in 2024, including 68 domestic radiotherapy equipment. The current inventory includes 195 medical linear accelerators (2.61 units per million population), 2 cobalt-60 units, 27 afterloading machines, 9 tomotherapy (TOMO) systems, 3 CyberKnife units, and 1 proton therapy system. Three-dimensional conformal radiotherapy and stati intensity-modulated radiotherapy have been widely adopted across the province, while advanced techniques such as volumetric-modulated arc therapy, stereotactic body radiotherapy, and respiration-gated technology, and respiratory gating are gradually being implemented.Conclusions:In recent years, the configuration of radiotherapy personnel in Hebei Province has become more balanced, and the availability of precision radiotherapy equipment has significantly improved. There is a growing trend in the adoption of domestically manufactured radiotherapy equipment, marking substantial progress in the development of radiation oncology services in the region.

Due to the constraints of the surgical environment and operational space,laparoscopic surgical instruments employ wire-driven mechanisms.However,factors such as wire rigidity,hysteresis,and motor drive limitations result in the end-effector accuracy of surgical instruments failing to meet ideal requirements.To address the shortcomings of existing multi-degree-of-freedom laparoscopic surgical instruments in achieving end-effector precision,a motion compensation algorithm based on the Autogluon algorithm for a 4-degree-freedom laparoscopic surgical instrument is proposed.A single-degree-of-freedom surgical instrument driven by wire ropes was constructed,and machine learning was utilized to estimate the end-effector position.This estimated position served as a feedback compensation condition to control the end-effector of the surgical instrument.To validate the correctness of this method,it was compared with approaches such as neural networks,linear regression,decision trees,Gaussian processes,and support vector machines.The results demonstrated that the proposed method achieved the smallest mean squared error,maximum error,and mean absolute error,thereby verifying its effectiveness.

Objective:To investigate the clinical characteristics and prognostic significance of germline mutations in patients with myelodysplastic neoplasms (MDS) .Methods:Clinical data from 407 patients with MDS [male, 252; female, 155; median age, 64 (range, 19-85) years] diagnosed at the First Affiliated Hospital of Zhejiang University School of Medicine were retrospectively analyzed. The clinical features and prognostic effects of germline mutations were evaluated.Results:The prevalence of germline mutations in patients with MDS was 5.9% (24/407), peaking at 20.0% in the group aged 21-30 years. The spectrum of germline mutations comprised DDX41 (9 cases, 2.2%), TP53 (3 cases, 0.7%), and single cases of RUNX1, TET2, MPL, CBL, ATRX, CEBPA, ETV6, IDH1, KDM5C, SBDS, GNAS, and CTC1. Patients with germline mutations exhibited significantly lower peripheral WBC counts than those without (1.87×10 9/L vs 2.50×10 9/L, P=0.018), but showed comparable median overall survival (21.3 months vs 21.1 months, P=0.97). Patients with DDX41 germline mutations, compared with those with other germline mutations, had a significantly older median age (65 vs 54 years, P=0.010), lower WBC counts (1.51×10 9/L vs 2.31×10 9/L, P=0.040), increased mean corpuscular volume (111.80 fl vs 97.25 fl, P=0.003), and a higher prevalence of normal karyotypes (100.0% vs 53.3%, P=0.022). The most frequently co-occurring somatic mutations in DDX41 germline mutation carriers were ASXL1, TET2, and RUNX1. Conclusion:In this study, the detection rate of germline mutations in MDS patients was 5.9% (24/407), peaking at 20% in the group aged 21-30 years. DDX41 and TP53 were the most prevalent germline mutations. DDX41 mutation carriers displayed distinct clinical characteristics; however, germline mutations overall showed no significant prognostic effect.

Objective:To construct and validate the risk prediction model of osteoporosis (OP) in the middle-aged and elderly healthy physical examination population.Methods:In this cross-sectional study, 18 030 middle-aged and elderly people with bone mineral density tested in Health Management Center of Guangxi Zhuang Autonomous Region Hospital from January 2020 to December 2022 were selected. The general data, physical examination index and biochemical blood index were collected. The subjects were divided into training set (12 621 cases) and validation set (5 409 cases) in a ratio of 7∶3 with the simple random sampling method. The variables were screened with minimum LASSO regression and logistic regression and the corresponding nomogram prediction model for the risk of osteoporosis in the middle-aged and elderly health examination population was established. The performance of the nomogram model was evaluated with the area under the receiver operating characteristic curve (ROC AUC), specificity, sensitivity, calibration curve (CAL), and decision curve (DCA).Results:The results of LASSO regression and multivariate logistic regression in training set showed that gender, age, body mass index, hip circumference, waist circumference, systolic blood pressure, total cholesterol, glutamyl transpeptidase and albumin/globulin ratio were the independent best predictors of OP risk in the middle-aged and elderly health examination population (all P<0.05). The ROC AUC-value of the training set was 0.895 (95% CI: 0.886-0.904), with a sensitivity of 87.25% and a specificity of 85.01%. The ROC AUC value of the validation set was 0.892 (95% CI: 0.886-0.898), with a sensitivity of 83.74% and a specificity of 82.46%. The CAL showed a C-index value of 0.790 in the training set and a C-index value of 0.784 in validation set. The CALs all showed deviation correction and obvious curves similar to the ideal line. DCA showed that when the OP risk threshold probability of the training set was 45%-93%, and the OP risk threshold probability of the validation set was 45%-92%, the nomogram model had better efficacy in predicting OP risk in the middle-aged and elderly physical examination population, and the two results were still relatively consistent. Both CAL and DCA showed good performance. Conclusion:This study establishes a practical prediction model for osteoporosis risk in the middle-aged and elderly population, it can provide an early warning for the timely detection of OP risk for the middle-aged and elderly people.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.

Objective To investigate the characteristics and correlation between peak oxygen uptake(VO?peak)and heart rate recov-ery(HRR)during cardiopulmonary exercise test(CPET)in patients with coronary borderline lesions.Methods From January,2022 to January,2024,183 patients with coronary borderline lesions in Beijing Bo'ai Hospital were divided into low cardiorespiratory fitness(LCF)group(n=61),moderate cardiorespiratory fitness(MCF)group(n=62)and high cardiorespiratory fitness(HCF)group(n=60)based on VO?peak.Their characteristics and CPET parameters including VO?peak,exercise-phase heart rate(HR1,HR2,HR3),and post-exercise heart rate recovery(HRR1,HRR2,HRR3)were analyzed.Results After adjusting for age and body mass index,analysis of covariance showed that the peak heart rate,HR1,HR2 and HR3 were the lowest in LCF group(F>5.388,P<0.01).Repeated-measures analysis of variance showed that the inter-and intra-group effects were significant in HRR(F>14.561,P<0.001).Partial correlation analy-sis showed that VO?peak positively correlated with HRR1(r=0.404,P<0.001),HRR2(r=0.379,P<0.001)and HRR3(r=0.425,P<0.001).Conclusion In patients with coronary artery borderline lesions,VO?peak demonstrated a significant inverse correlation with HRR,the lower the VO?peak,the more delays of HRR.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.