Objective To evaluate the safety and therapeutic efficacy of three-dimensional(3D)-printed personalized cervical correction pillows for treating cervical spondylotic radiculopathy.Methods A finite element model was established to simulate and analyze the biomechanical changes in cervical spine before and after using the pillow.Additionally,20 patients with chronic neck pain were included to analyze changes in visual analogue scale(VAS)scores,neck disability index(NDI),pressure pain threshold(PPT),Borden value,cervical lordosis,T1 slope,cervical slope,and thoracic inlet angle before and after using the pillow.Results Finite element analysis indicated that the maximum stress on vertebral bodies increased by 64.35％and the maximum stress on cartilage tissues by 5.09％after using the pillow.The Borden value improved by 45.75％.Clinical studies showed a significant reduction in VAS scores,NDI,and PPT after treatment(P＜0.05),while PPT,Borden value,cervical lordosis,T1 slope,and thoracic inlet angle significantly increased(P＜0.05).Conclusions The 3D-printed personalized cervical correction pillow is safe and effective in alleviating neck pain and improving cervical curvature,and it provides a new and effective non-surgical treatment option for cervical spondylotic radiculopathy,with significant clinical implications.

Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.

Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.

Objective To evaluate the safety and therapeutic efficacy of three-dimensional(3D)-printed personalized cervical correction pillows for treating cervical spondylotic radiculopathy.Methods A finite element model was established to simulate and analyze the biomechanical changes in cervical spine before and after using the pillow.Additionally,20 patients with chronic neck pain were included to analyze changes in visual analogue scale(VAS)scores,neck disability index(NDI),pressure pain threshold(PPT),Borden value,cervical lordosis,T1 slope,cervical slope,and thoracic inlet angle before and after using the pillow.Results Finite element analysis indicated that the maximum stress on vertebral bodies increased by 64.35％and the maximum stress on cartilage tissues by 5.09％after using the pillow.The Borden value improved by 45.75％.Clinical studies showed a significant reduction in VAS scores,NDI,and PPT after treatment(P＜0.05),while PPT,Borden value,cervical lordosis,T1 slope,and thoracic inlet angle significantly increased(P＜0.05).Conclusions The 3D-printed personalized cervical correction pillow is safe and effective in alleviating neck pain and improving cervical curvature,and it provides a new and effective non-surgical treatment option for cervical spondylotic radiculopathy,with significant clinical implications.

Objective·To verify the accuracy and clinical feasibility of fluoroscopic stereophotogrammetric analysis(FSA)technology based on two dimension(2D)-three dimension(3D)registration for early migration detection of aseptic loosening of joint prostheses.Methods·2D-3D registration algorithms centering on the light source and projected object respectively in FSA technology were verified under various working conditions through image synthesis experiments,and the feasibility of clinical application was verified through real model experiments.The image synthesis experiment established a perspective projection environment with the same parameters as the real environment in a virtual environment,the 2D perspective images of the 3D model(bone or prosthesis)during the six degrees of freedom transformation were recorded,and the six degrees of freedom transformation of the 3D model was restored by using different 2D-3D registration algorithms.The error of each registration algorithm was calculated.For real model validation,the migration between bone and prosthesis after joint replacement surgery was simulated with a high precision bone prosthesis migration simulator.The 3D model of the bone or prosthesis was reconstructed by using computed tomograph(CT)images and optical scanning,and the 2D perspective images before and after prosthesis migration were captured by using a fluoroscopy device.The migration of the prosthesis was restored by using FSA technology based on 2D-3D registration,and the error of FSA technology was calculated.Results·The accuracy of the 2D-3D registration algorithm centering on the light source was higher than that of the algorithm centering on the projected object under different working conditions.When the initial registration conditions were favorable,the algorithm centering on the light source reduced the rotation error compared to the algorithm centering on the projected object,with a statistical difference(P=0.021),and the displacement error decreases,with a significant statistical difference(P=0.000).Moreover,algorithms centering on the light sources required lower similarity and fewer registration times to meet clinical application requirements.Conclusion·The accuracy of FSA technology based on 2D-3D registration in early migration detection of artificial joint prostheses meets clinical application requirements.This technology can warn of late aseptic loosening of prostheses by detecting early migration of prostheses after joint replacement surgery,and is expected to be applied to clinical practice through further research.

Surgical robot is the national strategic diagnostic and therapeutic equipment research focus,get a number of scientific research institutes,colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots,and registration declaration.This article explores the critical technologies of surgical robots and key areas for optimizing their performance,including kinematic positioning errors,pose errors,feedback model errors,image recognition positioning errors,path planning,and safety aspects.The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research,manufacturing,and registration processes in the medical robotics industry.

OBJECTIVETo explore the role of mitochondrial DNA 5178 C/A (Mt5178) polymorphism of NADH-dehydrogenase subunit 2 (ND2) gene in type-2 diabetes mellitus (T2DM) among ethnic Han Chinese through a case-control study.

METHODSThe Mt5178C/A polymorphism was determined by sequencing 1103 T2DM patients and 791 healthy controls. Logistic regression analysis was conducted to estimate odds ratios (OR) and 95% confidence intervals (CI). To confirm the results, a meta-analysis was conducted based on published literature on the association of Mt5178 variant with T2DM.

RESULTSNo significant association was found between the Mt5178C/A variant and T2DM either by our study or the meta-analysis which included eight published studies. Nevertheless, it was found that the T2DM patients with 5178C genotype were at a higher risk for nephropathy complication (OR=1.49, 95%CI: 1.005-2.197, P<0.05) and at significantly lower risk for hypertension complication (OR=0.744, 95%CI: 0.556-0.996, P<0.05) compared with those carrying a 5178A genotype.

CONCLUSIONNo association was found between the Mt5178C/A polymorphism of mitochondrial ND2 gene with the increased risk of T2DM. However, the polymorphism may affect the development of nephropathy and hypertension complications among T2DM patients.

Adult ; Aged ; Blood Glucose ; metabolism ; Cholesterol ; blood ; Cholesterol, HDL ; blood ; DNA, Mitochondrial ; chemistry ; genetics ; Diabetes Complications ; blood ; genetics ; Diabetes Mellitus, Type 2 ; blood ; complications ; genetics ; Diabetic Nephropathies ; blood ; genetics ; Fasting ; blood ; Female ; Humans ; Hypertension ; blood ; complications ; genetics ; Male ; Meta-Analysis as Topic ; Middle Aged ; Odds Ratio ; Polymorphism, Single Nucleotide ; Sequence Analysis, DNA ; Triglycerides ; blood

Objective To research the effects of progressive time phase selective light (PTPSL)therapy on shift work disorder patients.Methods 24 shift work disorder patients were randomlv divided into PTPSL group and control group.Both groups received treatment for 12 days including 6 days during the night shift time and 6 days during the day shift time continuously.The clinical effects were evaluated by Karolinska Sleepiness Scale (KSS),Leeds sleep evaluation questionnaire (LSEQ) and core body temperature rhythm.Results (1) During the night shift time,PTPSL group patients were better in score LSEQ and KSS(discerned for 39.80 ± 2.89,6.59 ±0.48) than control group' s(discerned for 36.86 ± 3.88,6.98 ± 2.03) ; temperature curve peak phase in PTPSL group moved backward greater than that of control group((8.35 ± 0.82) h vs (7.45 ± 1.05) h) ; and the difference was statistical significance(P ＜ 0.05).During the day shift time,PTPSL group patients were better in score LSEQ and KSS(discerned for 45.57 ± 2.77,6.33 ± 0.48) than control group' s (discerned for 40.35 ± 4.19,6.82 ± 1.03),temperature curve peak phase in PTPSL group moved forward greater than that of control group((7.37 ± 0.94)h vs (6.31 ±1.37)h),and the difference was statistical significance(P＜0.05).Conclusion PTPSL can adjust shift sleep disorder patients' mussily sleep rhythm system in order,and make the inner rhythm svstem and external schedules tend to be consistent,and provides a new treatment choice for shift sleep disorders.