This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

OBJECTIVE To compare the efficacy and safety of tildrakizumab versus secukinumab in the treatment of moderate-to-severe plaque psoriasis. METHODS A retrospective analysis was conducted on 141 patients with moderate-to-severe plaque psoriasis treated at the First Affiliated Hospital of Nanyang Medical College from January 2024 to April 2025. According to the treatment regimen，the patients were divided into tildrakizumab g roup （ n ＝61） and secukinumab group （ n ＝80）. The PASI 75，PASI 90，and PASI 100 response rates， the Psoriasis Area and Severity Index （PASI） and Dermatology Life Quality Index （DLQI） scores， skin barrier function （sebum content and stratum corneum water content）， inflammatory factor levels [interleukin-17 （IL-17）， tumor necrosis factor-α （TNF-α）， and IL-23 ] before and after treatment， and the incidence of adverse drug reactions during treatment were compared between the two groups. RESULTS After 12 weeks of treatment， the PASI 75， PASI 90， and PASI 100 response rates in the tildrakizumab group were significantly higher than those in the secukinumab group （ P ＜0.05）. After treatment， PASI and DLQI scores as well as serum levels of IL-17， TNF-α， and IL-23 in both groups were significantly reduced compared to before treatment in the same group； sebum content and stratum corneum water content were significantly increased compared to before treatment in the same group （ P ＜0.05）； the tildrakizumab group showed better results than the secukinumab group （ P ＜0.05）. The overall incidence of adverse drug reactions was also significantly lower in the tildrakizumab group compared with the secukinumab group （ P ＜0.05）. CONCLUSIONS Compared with secukinumab， tildrakizumab demonstrates superior efficacy in the treatment of moderate-to-severe plaque psoriasis， providing improved symptom relief， enhanced skin barrier function， reduced levels of inflammatory factors， and higher safety.

BACKGROUND:Gradient artificial bone repair scaffolds can mimic unique anatomical features in musculoskeletal tissues,showing great potential for repairing injured musculoskeletal tissues. OBJECTIVE:To review the latest research advances in gradient artificial bone repair scaffolds for tissue engineering in the musculoskeletal system and describe their advantages and fabrication strategies. METHODS:The first author of the article searched the Web of Science and PubMed databases for articles published from 2000 to 2023 with search terms"gradient,bone regeneration,scaffold".Finally,76 papers were analyzed and summarized after the screening. RESULTS AND CONCLUSION:(1)As an important means of efficient and high-quality repair of skeletal system tissues,gradient artificial bone repair scaffolds are currently designed bionically for the natural gradient characteristics of bone tissue,bone-cartilage,and tendon-bone tissue.These scaffolds can mimic the extracellular matrix of native tissues to a certain extent in terms of structure and composition,thus promoting cell adhesion,migration,proliferation,differentiation,and regenerative recovery of damaged tissues to their native state.(2)Advanced manufacturing technology provides more possibilities for gradient artificial bone repair scaffold preparation:Gradient electrospun fiber scaffolds constructed by spatially differentiated fiber arrangement and loading of biologically active substances have been developed;gradient 3D printed scaffolds fabricated by layered stacking,graded porosity,and bio-3D printing technology;gradient hydrogel scaffolds fabricated by in-situ layered injections,simple layer-by-layer stacking,and freeze-drying method;and in addition,there are also scaffolds made by other modalities or multi-method coupling.These scaffolds have demonstrated good biocompatibility in vitro experiments,were able to accelerate tissue regeneration in small animal tests,and were observed to have significantly improved histological structure.(3)The currently developed gradient artificial bone repair scaffolds have problems such as mismatch of gradient scales,unclear material-tissue interactions,and side effects caused by degradation products,which need to be further optimized by combining the strengths of related disciplines and clinical needs in the future.

Objective To design a custom 3D printed monoblock acetabular implant for reconstructing PaproskyⅢA acetabular bone defects and to analyze the stress distribution,displacement,and clinical reliability of the implant and surrounding bone using finite element analysis(FEA).Methods Bilateral hip computed tomography(CT)data of a patient with PaproskyⅢA acetabular bone defects were collected.Models were developed and analyzed using Mimics Medical 21.0,Geomagic Wrap 2021,Solidworks 2023,and ANSYS Workbench 2022 R1 softwares.The biomechanical performance of the custom 3D printed monoblock acetabular implant was simulated under a single-leg stance condition.Results The peak von Mises stress of the hip components was observed at the femoral stem,measuring 67.318 MPa.For the custom 3D printeded monoblock acetabular implant,the peak stress was located at the anterosuperior contact area between the implant and acetabular bone,measuring 6.935 MPa.The femoral stem exhibited a peak stress of 67.318 MPa at its junction with the femoral head.The liner's peak stress was 1.333 MPa near the fixation of screw 9 at the superior part of the acetabular cup.The screws showed a peak stress of 2.215 MPa at the junction with the implant.For the cortical bone,the peak stress was 9.844 MPa at the distal femur,while the cancellous bone exhibited a peak stress of 0.701 MPa at its distal connection with the femoral stem.The pelvic bone's peak stress was 8.002 MPa at the anterior transition zone between the normal acetabulum and the defect.The peak micromotion of the custom 3D printed monoblock acetabular implant at its posterosuperior area,measuring 0.114 mm.The femoral stem and head exhibited a peak micromotion of 0.132 mm at the contact interface with the acetabular liner.The micromotion range at the implant-acetabular bone interface was 0.098 mm to 0.131 mm.Conclusion Under a simulated single-leg stance condition,the stress distribution in all components and the acetabular bone surface remains below their respective yield strengths.The micromotion threshold between the acetabular cup and acetabular bone is within acceptable limits.Biomechanical analysis indicates that the patient can perform early weight-bearing rehabilitation postoperatively.However,walking or jogging rehabilitation should be approached with caution.

Objective To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer.Methods A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023.All of them underwent dual-energy CT examination.According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard(2020 Edition),they were divided into T2 group(n=43)and T3 group(n=48).Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups,and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis.The area under receiver operating characteristic curve(AUC)of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages.Results Univariate analysis showed that carcinoembryonic antigen(CEA),N stage,tumor location,tumor longest diameter(LD),CT value of virtual noncontrast(CT-VNC),fat fraction,electron density(Rho)and dual energy index(DEI)were significantly different between the T2 and T3 groups(P＜0.05).Multivariate logistic regression analysis found that N stage,tumor location,LD,fat fraction and DEI were independent risk factors for the diagnosis of stage T3.The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671(95％CI:0.558～0.783),and the AUC value of the combined model of above CT parameters and clinical features was 0.886(95％CI:0.815～0.957),and statistical difference was observed in the AUC value between the combined model and the CT parametric model(P＜0.01).Conclusion The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery.

Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P＜0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.

Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To investigate the distribution of health needs and healthcare workforce demands among potential service users in community health service institurions (CHSIs) and establish a comprehensive health needs profile for targeted service development.Methods:This is a cross-sectional study. A questionnaire survey (55 items for adults and 39 items for minors) was conducted among 564 residents aged 3-65 in Dapuqiao Subdistrict, Shanghai from March to May 2024. A health sketch model was developed, encompassing five dimensions (intake, basal metabolism, consumption, influencing factors, and somatosensory perception). Health issues were mapped to standardized healthcare services, and annual standardized workloads (SW) were calculated to quantify human resource demands. Results:Among 534 valid responses (94.68% response rate), 355 from the adults and 179 from minors, the top health issues for adults were irregular diet, nutritional imbalance, obesity, somatic fatigue, and disordered eating; for minors, they were nutritional imbalance, medication overuse, insufficient physical activity, picky eating, and anorexia. The total annual SW required to address these needs was 3 906 807.93. Among them, the total SW for each age group was as follows: the total annual SW demand for children aged between 3 and 5 years old was 24 108.90, for children aged between 6 and 11 years old was 141 355.70, for adolescents aged between 12 and 17 years old was 29 813.74, 223 475.50 for 18-24 year olds, 476 426.53 for 25-34 year olds, 1 221 105.84 for 35-44 year olds, 812 200.22 for 45-54 year olds; and 978 321.50 for 55-65 year olds. Workforce allocation analysis revealed a total demand for 139.84 standardized personnel, with rehabilitation therapists (38.16), general practitioners (35.69), and nurses (27.34) being the top three required roles.Conclusions:Health needs and workforce demands vary significantly across age groups. This study provides a data-driven framework for optimizing community health services through stratified health needs profiling and precision resource allocation. Future strategies should prioritize tailored interventions and workforce planning to bridge service gaps and enhance health outcomes.