ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.

ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

Oral vaccines, owing to their non-invasive nature, ease of administration, and ability to elicit both mucosal and systemic immune responses, represent a pivotal direction in vaccine development. Microfold cells （M cells）, a specialized subset of immune-surveillance epithelial cells, though sparsely distributed, possess exceptional capacity for antigen uptake and transcytosis, rendering them a critical target for overcoming the bottlenecks of oral vaccine delivery. The morphological structure, antigen uptake mechanisms, and surface receptor characteristics of intestinal M cells were summarized in this paper. The multifaceted challenges currently impeding M cell-targeted oral delivery and recent advances in targeting strategies based on receptor–ligand specific recognition were analyzed. The design and application of delivery carriers tailored for M cell targeting were reviewed, which aimed to provide insights and guidance for future research and development of M cell-targeted mucosal delivery systems in the intestine.

Purpose Chemical exchange saturation transfer(CEST)imaging is used to study the changes of glutamate metabolism in the hippocampus of rats with chronic unpredictable mild stress(CUMS)model,so as to evaluate the clinical reference value of glutamate acid CEST(GluCEST)imaging results.Materials and Methods Twenty-two male SD rats were enrolled,and were divided into CUMS and healthy groups.Rats in CUMS group were further divided into the non-treatment group(n=7)and the ketamine treatment group(n=8).Seven healthy rats were randomly selected as control group.CEST imaging scans were performed using 7T small animal magnetic resonance and glutamate concentrations were measured in both hippocampi.The difference of hippocampal GluCEST value and glutamate concentration between control group and CUMS non-treatment group,CUMS ketamine treatment group and CUMS non-treatment group was analyzed,respectively.Results Compared with the control group,the hippocampal GluCEST value in CUMS non-treatment group was increased(left:t=2.8,P=0.015;right:t=3.0,P=0.011),while the hippocampal GluCEST value of rats in CUMS ketamine treatment group was decreased compared with CUMS non-treatment group(left:t=2.3,P=0.037;right:t=2.5,P=0.028).Conclusion GluCEST imaging can provide high spatial resolution images and accurately evaluate the changes of glutamate metabolism in hippocampus of rats with depression,which is conducive to monitoring the abnormal signals of hippocampal neurons caused by depression.

Objective:To investigate the dosimetric advantages of deep inspiration breath-hold (DIBH) technique in postoperative radiotherapy for left-sided breast cancer.Methods:A prospective study was conducted on patients requiring adjuvant radiotherapy after left-sided breast cancer surgery at Jiangsu Cancer Hospital from January 2018 to May 2023. CT simulation images were acquired under both free breathing (FB) and DIBH respiratory modes. Planning target volumes (PTV) and organs at risk (OAR) were delineated, and dosimetric parameters were compared between the two respiratory modes. Additionally, patients were grouped into subgroups [internal mammary lymph node irradiation (IMNI) vs. non-IMNI, breast-conserving surgery (BCS) followed by radiotherapy vs. modified radical mastectomy (MRM) followed by radiotherapy], and dosimetric differences among subgroups for both breathing modes were compared. The Velocity system was used to measure the minimum distances from the heart and left anterior descending coronary artery (LAD) to the PTV surface on CT images. These distances were defined as the heart-to-PTV and LAD-to-PTV distances. Pearson correlation analysis was performed to assess the relationships between heart D max and LAD D max, heart-to-PTV distance and heart D mean, and LAD-to-PTV distance and LAD D max under both respiratory modes. Results:A total of 132 patients were included. Compared to the FB, DIBH showed no significant difference in target dose distribution, but significantly reduced dose to OAR. Specifically, the heart D mean and D max decreased by 1.8 Gy and 8.1 Gy, respectively, and the LAD D max decreased by 7.9 Gy, and the affected lung V 5 Gy and V 20 Gy were reduced by 6.4% and 2.5%, respectively (all P<0.05). All subgroups benefited from DIBH, with greater decrease of dose to OAR in the IMNI subgroup (compared with the non-IMNI subgroup) and the subgroup of MRM followed by radiotherapy (compared with the BCS followed by radiotherapy group). Under both FB and DIBH modes, heart D max and LAD D max showed linear correlations ( r=0.62 and 0.84, respectively; both P<0.001), heart-to-PTV distance correlated with heart D mean ( r=-0.61 and -0.67, respectively; both P<0.001), and LAD-to-PTV distance correlated with LAD D max ( r=-0.58 and -0.63, respectively; both P<0.001). Conclusions:The DIBH technique can significantly reduce dose to the heart, LAD, and lungs in patients undergoing postoperative radiotherapy for left-sided breast cancer without compromising target dose. Patients receiving IMNI after left-sided breast cancer surgery benefit more from the DIBH technique.

Objective:To investigate the correlation between mutations in KRAS, NRAS, BRAF, and PIK3 CA and the clinical characteristics of elderly colorectal cancer(CRC)patients. Methods:Paraffin-embedded tissue samples were obtained from 191 elderly CRC patients who consulted at Huadong Hospital, affiliated to Fudan University, between January 2022 and July 2023.Following deoxyribonucleic acid(DNA)extraction, the amplification refractory mutation system polymerase chain reaction(ARMS-PCR)was employed to detect the mutation profiles of KRAS, NRAS, BRAF, and PIK3 CA.Concurrently, serum samples collected prior to radical resection were analyzed for carcinoembryonic antigen(CEA), carbohydrate antigen 19-9(CA19-9), and carbohydrate antigen 72-4(CA72-4)using electrochemical luminescence.A comparative analysis of the clinical characteristics and preoperative serological tumor marker concentrations among patients with different gene mutations was conducted to elucidate their correlation. Results:A total of 191 elderly CRC patients were enrolled in the study, with ages ranging from 60 to 94 years(mean age 72.1±7.8 years), including 112 males.The mutation rate of KRAS, NRAS, BRAF, and PIK3 CA, as determined by combined detection, was found to be 49.21%(94/191)among elderly CRC patients. KRAS exhibited the highest mutation rate at 35.08%, with statistically significant differences observed in gender, primary site, degree of differentiation, and neurovascular invasion between patients with and without KRAS mutations( P<0.05 for all comparisons).The BRAF mutation rate was 8.90%, and significant differences in gender, age, primary site, and degree of differentiation were also noted between patients with and without BRAF mutations( P<0.05 for all).The mutation rates for NRAS and PIK3 CA were 2.62% and 5.24%, respectively, with no statistically significant differences in the clinical characteristics of patients across different groups( P>0.05 for all).Additionally, the proportion of patients over the age of 90 in the double mutation group was significantly higher( P<0.01).Significant differences in serum CA19-9 concentrations were observed among the various mutation types( P<0.05). Conclusions:There are notable differences in age, gender, primary site, degree of differentiation, and neurovascular invasion among elderly CRC patients with varying mutation statuses of KRAS, NRAS, BRAF, and PIK3 CA.Patients with double mutations exhibited higher concentrations of CA19-9 in preoperative serum.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Low-intensity pulsed ultrasound（LIPUS），with its remarkable advantages of higher safety and better penetrability，has gradually become a novel method of physical adjuvant therapy. Previous studies have verified that LIPUS can modulate the immune response of different immune cells such as macrophage，T lymphocyte，and neutrophil by reducing the level of pro-inflammatory cytokines. Therefore，it plays a crucial role on acceleration of fracture healing，expedition of wound repair，and repairation of myocardial injury. The review summarizes the regulatory effects and potential mechanisms of LIPUS on abnormal immune cell responses triggered by various diseases.

In the general state,Th17 cells can promote inflammatory responses,while Treg cells have anti-inflammatory and immunomodulatory functions.In obesity individuals,the body is often in a chronic low-grade inflammatory state,and the Th17/Treg cell balance is disrupted,leading to an increase in the number and hyperfunction of Th17 cells and a decrease in the number and hypofunction of Treg cells,which exacerbates the development of obesity and related metabolic diseases.In this paper,the relationship between Th17/Treg cell balance and obesity,and the mechanism of Th17/Treg cell imbalance leading to the occur-rence and development of obesity are reviewed according to relevant research progress in recent years,with a view to exploring new targets for the treatment of obesity.

Objective:To investigate the value of a computed tomography(CT)radiomics-based model for predicting the efficacy of neoad-juvant immunotherapy combined with chemotherapy for locally advanced gastric cancer(LAGC).Methods:Data on 114 patients with LAGC who underwent radical surgery after neoadjuvant immunotherapy combined with chemotherapy at The Second Affiliated Hospital of Xingtai Medical College between June 2019 and June 2021 were retrospectively collected.These patients'data were divided into a training set(n=67)and a validation set(n=47)based on the time of admission.High-throughput features were extracted from baseline portal phase CT images of all patients,and the selected features were used to construct the radiomics prediction model.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)and calibration curves.The prognostic ability of the model was assessed using Kaplan-Meier curves.Results:Based on the maximum relevancy min-redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO)regression model,5 out of 584 assessed features were incorporated into the radiomics(Rad)score.The respect-ive areas under the curve for predicting pathological complete response(pCR)in the training and validation sets were 0.865 and 0.830,re-spectively,and good fits were obtained(Hosmer-Lemeshow test:P>0.05).The optimal cut-off value for the Rad score was determined based on the Youden index.Patients with high Rad scores had significantly higher 3-year recurrence-free survival rates(82.7%vs.60.4%in the training set and 78.9%vs.53.8%in the validation set)and 3-year overall survival rates(78.9%vs.60.2%in the training set and 79.3%vs.50.0%in the validation set)than those with low Rad scores(P<0.05).Conclusions:The CT radiomics prediction model effectively predicted the pathological response and prognosis of patients with LAGC after neoadjuvant immunotherapy combined with chemotherapy and is ex-pected to serve as a practical clinical tool.