Objective To investigate the the effects of fracture fragment size and fixation method on biomechanical stability of distal tibial epiphyseal injuries in children.Methods A three-dimensional(3D)finite element model of a Salter-Harris Ⅱ(SH-Ⅱ)epiphyseal injury with fracture fragments of varying sizes(Small,Middle,Big)was constructed using computed tomography(CT)data from the lower limb of a 10-year-old volunteer.and bone-internal fixation assemblies were created with 1-3 screws(1 S group,2 S group,3 S group)and Kirschner wire(K group).The model was subjected to gravitational forces,posterior drawer forces,and external rotation.Displacement and stress distributions on fracture fragments and fixation devices were analyzed.Results The maximum displacement for the four groups of models was concentrated at the distal end of the fracture fragment.Under gravity conditions,the maximum displacement of the distal end of the fracture fragment in the 1 S,2 S,3 S and K models in Small group was 5.69,5.57,5.56,0.11 mm,respectively,and the bone stress was 16.95,12.26,8.57 and 5.00 MPa,respectively.A high stress area at the epiphyseal plate and the fracture line was easily formed under screw fixation,while a high stress area at the edge of the epiphyseal plate was formed under Kirschner wire fixation.Conclusions When distal tibial epiphyseal injuries in children are treated by using screws,increasing the number of screws can improve the fixation stability and share local bone stress,but the connection area between the fracture fragment and the epiphyseal plate cannot be too small.Kirschner wire fixation can provide better biomechanical effects than screw fixation.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective To investigate the the effects of fracture fragment size and fixation method on biomechanical stability of distal tibial epiphyseal injuries in children.Methods A three-dimensional(3D)finite element model of a Salter-Harris Ⅱ(SH-Ⅱ)epiphyseal injury with fracture fragments of varying sizes(Small,Middle,Big)was constructed using computed tomography(CT)data from the lower limb of a 10-year-old volunteer.and bone-internal fixation assemblies were created with 1-3 screws(1 S group,2 S group,3 S group)and Kirschner wire(K group).The model was subjected to gravitational forces,posterior drawer forces,and external rotation.Displacement and stress distributions on fracture fragments and fixation devices were analyzed.Results The maximum displacement for the four groups of models was concentrated at the distal end of the fracture fragment.Under gravity conditions,the maximum displacement of the distal end of the fracture fragment in the 1 S,2 S,3 S and K models in Small group was 5.69,5.57,5.56,0.11 mm,respectively,and the bone stress was 16.95,12.26,8.57 and 5.00 MPa,respectively.A high stress area at the epiphyseal plate and the fracture line was easily formed under screw fixation,while a high stress area at the edge of the epiphyseal plate was formed under Kirschner wire fixation.Conclusions When distal tibial epiphyseal injuries in children are treated by using screws,increasing the number of screws can improve the fixation stability and share local bone stress,but the connection area between the fracture fragment and the epiphyseal plate cannot be too small.Kirschner wire fixation can provide better biomechanical effects than screw fixation.

Patent foramen ovale(PFO)demonstrates significant comorbidity with migraine,but its causal relationship and the efficacy of transcatheter closure remain controversial.This systematic review examines potential biomarkers and relevant imaging assessments for PFO-associated migraine,aiming to provide a theoretical foundation for clinical diagnosis and treatment.Key biomarkers include platelet activation markers,calcitonin gene-related peptide,homocysteine,and platelet-to-lymphocyte ratio.Imaging evaluations encompass right-to-left shunt grading(transthoracic echocardiography,transcranial Doppler ultrasound),cerebrovascular breath-holding index,characteristics of white matter hyperintensities,alterations in resting-state functional magnetic resonance imaging(rs-f-MRI)brain networks,in-situ thrombi detected by optical coherence tomography,and electroencephalogram(EEG)power spectral features.Research indicates that integrating biomarkers with imaging technologies enhances diagnostic discrimination and treatment outcome prediction.Current challenges include unclear causal relationships and insufficient standardization of detection methods.Future efforts require multidisciplinary collaboration to establish personalized diagnostic and therapeutic frameworks through multimodal indicators,thereby advancing precise prevention and treatment strategies for PFO-related migraine.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective To propose a lightweight deep learning network-based segmentation method for automatic segmenta-tion of the skeletal muscle at the third cervical spine(C3)level.Methods Firstly,121 patients with head and neck tumors admitted to the Department of Oncology of Zigong First People's Hospital from January 2019 to December 2022 were selected and randomly divided into a training set,a validation set and a test set in the ratio of 7∶1∶2.Secondly,a lightweight Mamba architecture was introduced into the UNet network and an attention gate(AG)mechanism was added to the skip connection path to construct a MB-UNet network model.Finally,the trained network models were evaluated for segmentation performance on the test set,the MB-UNet network model was compared with manual segmentation over the results of determination of skeletal muscle area(SMA),and with classical network models in terms of parameter scale and computation effort including UNet,Deeplab V3+,U2Net,VMUNet and UltraLight-VMUNet models.The time required by the MB-UNet network model for predicting SMA and that by the physician with the assistance of the model was summarized.Results When used for segmenting the skeletal muscle at C3 level the constructued MB-UNet network model gained advantages over the classical models,with a Dice similarity coefficient of 88.23%,an intersection over union(IoU)ratio of 78.94%,a sensitivity of 91.27%and a 95%Hausdorff distance of 7.13 mm;the SMA determined by manual segementation was basically close to that by the MB-UNet network model;the MB-UNet network model behaved generally better than the classical network models,with the computation effort being 1.88 GFLOPS and the parameter scale being 0.77M;it took the MB-UNet network model 1.93 s for the prediction on the test set,and only 2 min for the physician to obtain satisfactory results with the assistance of the MB-UNet network model,which was significantly shorter than that by munual segmentation(20 min).Conclusion The proposed method contributes to segmenting the skeletal muscle at C3 level precisely and rapidly and calculating SMA accurately,which helps clinicians to quickly diagnose sarcopenia in patients with head and neck tumors and improves the diagnostic efficiency.[Chinese Medical Equipment Journal,2025,46(8):11-17]

Chronic kidney disease(CKD)is a chronic disease characterized by renal structural damage and dysfunction.At present,there is still a lack of effective therapeutic drugs and prevention and treatment methods for CKD in clinical practice.More and more studies have shown that necroptosis,as a new type of programmed cell death,plays a vital role in the onset and progression of CKD.Targeting key molecules in the necroptosis pathway,such as RIPK1,RIPK3 and MLKL,the development of small molecule inhibitors has become an emerging strategy for the treatment of CKD,and has shown significant potential to pro-tect the kidneys and alleviate renal fibrosis in a variety of in vitro and in vivo models.Therefore,this article summarizes the re-search progress of the mechanism of necroptosis in recent years,and focuses on the potential role of necroptosis in the pathogene-sis of CKD and the therapeutic potential of targeting this path-way,providing a new perspective and research direction for the prevention and treatment of CKD in the future.

Patent foramen ovale(PFO)demonstrates significant comorbidity with migraine,but its causal relationship and the efficacy of transcatheter closure remain controversial.This systematic review examines potential biomarkers and relevant imaging assessments for PFO-associated migraine,aiming to provide a theoretical foundation for clinical diagnosis and treatment.Key biomarkers include platelet activation markers,calcitonin gene-related peptide,homocysteine,and platelet-to-lymphocyte ratio.Imaging evaluations encompass right-to-left shunt grading(transthoracic echocardiography,transcranial Doppler ultrasound),cerebrovascular breath-holding index,characteristics of white matter hyperintensities,alterations in resting-state functional magnetic resonance imaging(rs-f-MRI)brain networks,in-situ thrombi detected by optical coherence tomography,and electroencephalogram(EEG)power spectral features.Research indicates that integrating biomarkers with imaging technologies enhances diagnostic discrimination and treatment outcome prediction.Current challenges include unclear causal relationships and insufficient standardization of detection methods.Future efforts require multidisciplinary collaboration to establish personalized diagnostic and therapeutic frameworks through multimodal indicators,thereby advancing precise prevention and treatment strategies for PFO-related migraine.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective To propose a lightweight deep learning network-based segmentation method for automatic segmenta-tion of the skeletal muscle at the third cervical spine(C3)level.Methods Firstly,121 patients with head and neck tumors admitted to the Department of Oncology of Zigong First People's Hospital from January 2019 to December 2022 were selected and randomly divided into a training set,a validation set and a test set in the ratio of 7∶1∶2.Secondly,a lightweight Mamba architecture was introduced into the UNet network and an attention gate(AG)mechanism was added to the skip connection path to construct a MB-UNet network model.Finally,the trained network models were evaluated for segmentation performance on the test set,the MB-UNet network model was compared with manual segmentation over the results of determination of skeletal muscle area(SMA),and with classical network models in terms of parameter scale and computation effort including UNet,Deeplab V3+,U2Net,VMUNet and UltraLight-VMUNet models.The time required by the MB-UNet network model for predicting SMA and that by the physician with the assistance of the model was summarized.Results When used for segmenting the skeletal muscle at C3 level the constructued MB-UNet network model gained advantages over the classical models,with a Dice similarity coefficient of 88.23%,an intersection over union(IoU)ratio of 78.94%,a sensitivity of 91.27%and a 95%Hausdorff distance of 7.13 mm;the SMA determined by manual segementation was basically close to that by the MB-UNet network model;the MB-UNet network model behaved generally better than the classical network models,with the computation effort being 1.88 GFLOPS and the parameter scale being 0.77M;it took the MB-UNet network model 1.93 s for the prediction on the test set,and only 2 min for the physician to obtain satisfactory results with the assistance of the MB-UNet network model,which was significantly shorter than that by munual segmentation(20 min).Conclusion The proposed method contributes to segmenting the skeletal muscle at C3 level precisely and rapidly and calculating SMA accurately,which helps clinicians to quickly diagnose sarcopenia in patients with head and neck tumors and improves the diagnostic efficiency.[Chinese Medical Equipment Journal,2025,46(8):11-17]