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.

Objective:To investigate the clinicopathological characteristics and diagnostic criteria of cutaneous melanocytic tumor with CRTC1::TRIM11 fusion (CMTCT), and to improve understanding of this entity.Methods:The clinical features, histology, immunohistochemistry (IHC) and molecular characteristics of 3 CMTCT cases were analyzed, supplemented by a literature review.Results:All patients were female, aged 53, 46 and 46 years, respectively. Grossly, the lesions presented as dermal/subcutaneous nodules protruding from the skin surface. Histologically, tumor cells were arranged in nested and fascicular patterns separated by delicate fibrous septa. Tumor cell infiltration was observed in the epidermis of case 1, but not in that of cases 2 and 3. Tumor cells exhibited epithelioid, spindle-shaped, or oval morphology, with eosinophilic or pale cytoplasm and mild to moderate nuclear atypia. Tumor mitotic figure was <5/10 HPF. Scant melanin pigment was observed in case 2. IHC demonstrated diffuse and strong positivity for SOX-10, S-100 protein and MITF. HMB45 was negative in two cases (case 1 and case 3) and focally positive in case 2; Melan A was negative in two cases (case 1 and case 3) and partially positive in case 2. The Ki-67 proliferation index was approximately 5%-8%. Molecular analysis revealed CRTC1::TRIM11 fusion in three cases via RNA sequencing, and CRTC1 rearrangement in two cases (case 1 and case 3) via fluorescence in situ hybridization.Conclusions:CMTCT shares histological and immunophenotypic features with melanoma and clear cell sarcoma but is defined by the presence of CRTC1::TRIM11 fusion, necessitating molecular confirmation for definitive diagnosis. Complete excision with clear margins is recommended. While most of the CMTCTs exhibit indolent biological behaviors, rare cases may recur locally or metastasize, warranting close follow-up.

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 clinicopathological characteristics and diagnostic criteria of cutaneous melanocytic tumor with CRTC1::TRIM11 fusion (CMTCT), and to improve understanding of this entity.Methods:The clinical features, histology, immunohistochemistry (IHC) and molecular characteristics of 3 CMTCT cases were analyzed, supplemented by a literature review.Results:All patients were female, aged 53, 46 and 46 years, respectively. Grossly, the lesions presented as dermal/subcutaneous nodules protruding from the skin surface. Histologically, tumor cells were arranged in nested and fascicular patterns separated by delicate fibrous septa. Tumor cell infiltration was observed in the epidermis of case 1, but not in that of cases 2 and 3. Tumor cells exhibited epithelioid, spindle-shaped, or oval morphology, with eosinophilic or pale cytoplasm and mild to moderate nuclear atypia. Tumor mitotic figure was <5/10 HPF. Scant melanin pigment was observed in case 2. IHC demonstrated diffuse and strong positivity for SOX-10, S-100 protein and MITF. HMB45 was negative in two cases (case 1 and case 3) and focally positive in case 2; Melan A was negative in two cases (case 1 and case 3) and partially positive in case 2. The Ki-67 proliferation index was approximately 5%-8%. Molecular analysis revealed CRTC1::TRIM11 fusion in three cases via RNA sequencing, and CRTC1 rearrangement in two cases (case 1 and case 3) via fluorescence in situ hybridization.Conclusions:CMTCT shares histological and immunophenotypic features with melanoma and clear cell sarcoma but is defined by the presence of CRTC1::TRIM11 fusion, necessitating molecular confirmation for definitive diagnosis. Complete excision with clear margins is recommended. While most of the CMTCTs exhibit indolent biological behaviors, rare cases may recur locally or metastasize, warranting close follow-up.

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.

Objective:To explore the mechanism for the occurrence and phenotypic characteristics of Turner syndrome based on a prenatally diagnosed case of a mosaic karyotype containing double pseudo-isodicentric X chromosome and a review of relevant literature.Methods:A fetus who was diagnosed with increased risk of trisomy 21 at the Provincial Hospital Affiliated to Shandong First Medical University in August 2023 was selected as the study subject. Clinical data of the fetus was collected. Following amniocentesis, chromosomal G-banding karyotype analysis and chromosomal microarray analysis (CMA) were carried out. This study has been approved by the Ethics Committee of the Hospital (Ethics No.: SWYX No. 2022-287).Results:The early-trimester screening suggested a high risk of trisomy 21(1/19), with free β-hCG of 116 ng/mL (MoM value 2.35), PAPP-A of 0.394 ng/mL (MoM value 0.12), and NT value of 1.3 mm, though no abnormality was found in the fetus at 19 weeks gestation. The karyotype of amniocyte was determined as 46, X, psu idic(X)(p11.21)[55]/45, X[27]/47, X, psu idic(X)(p11.21)×2[5]/46, XX[13]. CMA has yielded a result of arr[GRCh37] Xp22.33p11.21(168552_55585678)×1[0.67], Xp11.21q28(55703291_155233098)×3[0.5].Conclusion:Karyotypes of Turner syndrome are complex and diverse, and a rare 46, X, psu idic(X)(p11.21)[55]/45, X[27]/47, X, psu idic(X)(p11.21)×2[5]/46, XX[13] mosaic karyotype with double pseudo-isodicentric X chromosome has been identified. Literature review suggested that this karyotype may lead to phenotypic diversification and a risk of reduced sensitivity to hormone therapy.

Objective:To explore the predictive value of inflammatory factors and renal function indicators for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) and their risk factors.Methods:A total of 106 T2DM patients admitted to the General Hospital of PLA Northern Theater Command from March 2022 to February 2024 were prospectively selected. They were divided into the DR group (31 cases) and non-DR group (75 cases) according to the presence or absence of DR. Binary logistic regression analysis was used to screen the influencing factors of DR in T2DM patients, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of inflammatory factors and renal function indicators for DR in T2DM patients.Results:Univariate analysis showed that T2DM duration, smoking, hypertension, blood urea, serum creatinine, serum uric acid, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) were associated with DR in T2DM patients (all P<0.05). Multivariate logistic regression analysis showed that TNF-α, serum creatinine, serum uric acid, and T2DM duration were independent risk factors for DR in T2DM patients (all P<0.05), which could increase the risk by 1.724 times, 1.038 times, 1.026 times, and 4.904 times, respectively. ROC curve analysis showed that the areas under the curve (AUC) of TNF-α, serum creatinine, and serum uric acid for predicting DR in T2DM patients were 0.906, 0.842, and 0.809, respectively. Conclusions:TNF-α, serum creatinine, serum uric acid, and T2DM duration are independent risk factors for DR in T2DM patients. TNF-α, serum creatinine, and serum uric acid have good predictive value for DR in T2DM patients, and can be used as clinical predictive indicators to provide references for early identification of high-risk patients and formulation of DR prevention and treatment strategies.

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.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.