1.Finite Element Analysis and Clinical Application of Three-Dimensional-Printed Personalized Cervical Correction Pillow
Ya LI ; Yuncheng WU ; Zhaozhao WU ; Xunjun MA ; Jiaqi LIU ; Yongjun JIANG ; Jinwu WANG
Journal of Medical Biomechanics 2025;40(1):118-125
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.
2.Prediction and Clinical Evaluation of Cobb Angle in Idiopathic Scoliosis Using Machine Learning and Three-Point Mechanical Data of 3D-Printed Orthotics
Xunjun MA ; Ya LI ; Jun YU ; Haitao LIU ; Yuncheng WU ; Jinwu WANG
Journal of Medical Biomechanics 2025;40(2):364-370
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.
3.Prediction and Clinical Evaluation of Cobb Angle in Idiopathic Scoliosis Using Machine Learning and Three-Point Mechanical Data of 3D-Printed Orthotics
Xunjun MA ; Ya LI ; Jun YU ; Haitao LIU ; Yuncheng WU ; Jinwu WANG
Journal of Medical Biomechanics 2025;40(2):364-370
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.
4.Finite Element Analysis and Clinical Application of Three-Dimensional-Printed Personalized Cervical Correction Pillow
Ya LI ; Yuncheng WU ; Zhaozhao WU ; Xunjun MA ; Jiaqi LIU ; Yongjun JIANG ; Jinwu WANG
Journal of Medical Biomechanics 2025;40(1):118-125
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.
5.Predictive value of peripheral blood inflammatory indicators in patients with new-diagnosed multiple myeloma
Xiaomei HUANG ; Boming HUANG ; Xunjun HUANG ; Jing WU ; Ruolin LI
China Modern Doctor 2024;62(2):15-20
Objective To explore the predictive value of peripheral blood inflammatory indicators such as neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR)and platelet-to-lymphocyte ratio(PLR)on the prognosis of patients with primary diagnosis of multiple myeloma(MM).Methods Using a retrospective method,77 patients with first diagnosis of MM admitted to the Department of Hematology of Baise People's Hospital and 77 healthy medical checkups with peripheral blood NLR,MLR and PLR were collected and compared the differences.Then the patients with primary diagnosis of MM were categorized into high NLR group,low NLR group,high MLR group,low MLR group,high PLR group,low PLR group using the mean value as the critical value,and the prognosis of the patients in each group as well as the relationship with overall survival time(OS)were compared.Results The NLR,MLR,and PLR of patients with initial diagnosis of MM were significantly higher than those of healthy controls,and the differences were statistically significant(all P<0.05).Serum β2-microglobulin(β2-MG)levels were higher in patients with high NLR and high MLR than in the low NLR and low MLR groups,and the difference was statistically significant(P<0.05).Patients in the high NLR,high MLR and high PLR groups had less OS and poorer prognosis than those in the low NLR,low MLR and low PLR groups,and the differences were statistically significant(all P<0.05).Univariate Cox regression analysis showed that international staging system(ISS)stage,creatinine(Cr),β2-MG,albumin(ALB),NLR,MLR and PLR were associated with overall survival(P<0.05);multivariate Cox proportional risk regression analysis showed that NLR,MLR,and PLR were not independent risk factors affecting the prognosis of patients with primary diagnosis of MM,and the difference was not statistically significant(P>0.05).According to the number of inflammatory indexes(high NLR,high MLR,high PLR)that affected the prognosis,the patients were divided into 0 or 1 risk factor group,2 risk factor groups and 3 risk factor groups,and the comparison of OS between the three groups was statistically significant(P=0.001).The greater the number of concomitant risk factors for prognosis,the shorter the OS.Conclusion Elevated inflammatory indicators(NLR,MLR,PLR)in patients with primary diagnosis of MM were associated with less OS and poorer prognosis of the patients,and they may be used as indicators to assess the condition and prognosis of patients with primary diagnosis of MM.
6.Overview of Key Technologies in Surgical Robots and Optimization Discussions
Xunjun MA ; Jun YU ; Haitao LIU ; Ya LI ; Hao WU ; Yanbo HUANG ; Bide XU ; Li LIN ; Jinwu WANG
Chinese Journal of Medical Instrumentation 2024;48(5):505-511
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.
7.Role of Toll-like receptor 4 in non-medullary and medullary cells in lung ischemia-reperfusion injury in mice
Mingjie SUN ; Nianguo HOU ; Hui LI ; Jianhua ZHANG ; Hongguang YANG ; Xi CAO ; Yihao WANG ; Xunjun SHUAI ; Dengbin AI
Chinese Journal of Anesthesiology 2017;37(7):862-864
Objective To evaluate the role of Toll-like receptor 4 (TLR4) in non-medullary andmedullary cells in lung ischemia-reperfusion (I/R) injury in mice.Methods Ten healthy male TLR4+/+ in non-medullary cells/TLR4+/+ in medullary cells (WT/WT) mice,10 TLR4-/-in non-medullary cells/ TLR4-/-in medullary cells (KO/KO) homozygote mice,10 TLR4+/+ in non-medullary cells/TLR4-/-in medullary cells (WT/KO) mice,and 10 TLR4-/-in non-medullary cells/TLR4+/+ in medullary cells (KO/WT) heterozygote mice,aged 6-8 weeks,weighing 20-25 g,were used in the study.Lung I/R was induced by occlusion of the left hilum for 60 min followed by 240 min of reperfusion in anesthetized mice.Blood samples were obtained from the femoral artery at 240 min of reperfusion for blood gas analysis,and the oxygenation index (PaO2/FiO2) was calculated.The animals were then sacrificed and lung tissues were immediately removed for determination of wet/dry weight ratio,myeloperoxidase activity and contents of tumor necrosis factor-alpha,interleukin-1beta (IL-1β) and IL-6 (by enzyme-linked immunosorbent assay) and for microscopic examination of the pathological changes of lungs which were scored.Results Compared with WT/WT mice,the oxygenation index was significantly increased in sequence,and lung injury scores,wet/dry weight ratio,myeloperoxidase activity and contents of tumor necrosis factor-alpha,IL-1β and IL-6 were decreased in sequence in WT/KO,KO/WT and KO/KO mice (P<0.05).Conclusion TLR4 in non-medullary cells plays a rnore important role in lung I/R injury than that in medullary cells of mice.
8.Effect of remote-interactive cognitive behavioral therapy in patients with chronic insomnia
Ling LIN ; Xiaojiang JIANG ; Juan LIU ; Xunjun LI ; Yazhen LIU ; Ying LANG ; Yuanyuan YE ; Xinju YANG
Chinese Journal of Behavioral Medicine and Brain Science 2016;(2):134-138
Objective To assess the effect of remote-interactive cognitive behavioral therapy in pa-tients with chronic insomnia.Methods A total of 62 patients with chronic insomnia were randomly divided into combined treatment group,cognitive behavioral therapy for insomnia ( CBTI) group and drug treatment group.The study lasted for 6-8 weeks.The curative effects were assessed using sleep diary and scales.Results The sleep onset latency (SOL) ((39.9±23.7)min) and wake time after sleep onset(WASO) ((79.1± 39.4) min) in the drug treatment group were higher than that in the combined treatment group ( ( 25.5 ± 11.2)min and (54.4±38.5)min,respectively) and CBTI group ((27.8±11.6)min and (51.8±29.0)min,re-spectively) at the end of treatment,the difference was statistical significance( P=0.018 and P=0.046 respec-tively).The sleep efficiency(SE) in drug treatment ((76.5±11.9)%) was lower than that in the other two groups((83.8±8.7)%and (82.8±7.0)%respectively),(P=0.042).And no similar difference were seen in TST after treatment(P>0.05).The Brief Version of Dysfunctional Beliefs and Attitudes about Sleep(DBAS-16) score in the drug treatment group (97.6±16.4) was higher than the other two groups((67.5±20.1) and ( 75.0±26.9) respectively) after treatment(P=0.000) .No significant difference was seen in scores of the oth-er scales among the three groups(P>0.05) .After treatment,a greater proportion of patients in the combined treatment group had withdrawn from hypnotics use completely (29%(6/20) vs 5%(1/18);odds ratio( OR ) was 7.286);and the combined treatment group produced significant reduction in frequency of hypnotics use ((3.35±3.05) nights/week) when compared with drug treatment group((5.56±2.33) nights/week, P=0.016) .Conclusions Remote-interactive cognitive behavioral therapy was effective and acceptable for treating pa-tients with chronic insomnia,combining drug treatment in the early period could quickly relieve the symptoms of in-somnia,and can avoid the adverse effect from the hypnotics.And the treatment method can reduce the dropout rate.
9.Correlation between oxygen reduction index with blood lipid and renal function in OSAHS patients
Yuanyuan YE ; Xiaojiang JIANG ; Dong GAO ; Xunjun LI ; Yazhen LIU ; Ying LANG ; Ling LIN ; Xinju YANG
Chongqing Medicine 2015;(28):3938-3940
Objective To explore the correlation between oxygen reduction index(ODI) with blood lipid and renal function in patients with obstructive sleep apnea hypopnea syndrome(OSAHS) .Methods Selected 208 patients by polysomnography (PSG) and diagnosed as OSAHS ,divided into four groups according to ODI(ODI ≤ 7 ,7 < ODI ≤ 18 ,18 < ODI ≤ 38 and ODI > 38) .Four groups were compared in total cholesterol (TC) ,triglyceride (TG) ,high‐density lipoprotein cholesterol (HDL‐C) ,low density lipo‐protein cholesterol (LDL‐C) ,apolipoprotein A1 (ApoA1) ,apolipoprotein B (ApoB) ,urea ,creatinine ,uric acid and other differ‐ences ,analysis the correlation between ODI with blood lipid and renal function .Results There were significant different in TC ,TG , HDL‐C ,LDL‐C ,ApoB ,urea ,creatinine ,uric acid in four groups with different degree of ODI (P< 0 .05) ;ODI were positively relat‐ed to TC ,TG ,LDL‐C ,ApoB ,urea ,creatinine ,uric acid levels ,and negatively related to the level of HDL‐C .Conclusion Abnormity of blood lipid metabolic and changes in renal function are associated with the increase of ODI in patients with OSAHS .
10.Clinical effects of progressive time phase selective light therapy on shift work disorder patients
Guozhong MA ; Xiaojiang JIANG ; Yuanfeng ZHANG ; Ying LANG ; Daiqu ZHONG ; Yazhen LIU ; Xunjun LI
Chinese Journal of Behavioral Medicine and Brain Science 2013;(4):317-320
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.

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