1.TiRobot-assisted minimally invasive treatment of coracoid process fractures of scapula.
Yonghong DAI ; Qingyu LI ; Yanhui ZENG ; Zhengjie WU ; Chunpeng ZHAO ; Junqiang WANG
Chinese Journal of Reparative and Reconstructive Surgery 2025;39(1):40-46
OBJECTIVE:
To explore effectiveness of TiRobot-assisted screw implantation in the treatment of coracoid process fractures of the scapula.
METHODS:
A retrospective analysis was conducted on the clinical data from 24 patients with coracoid process fractures of the scapula admitted between September 2019 and January 2024 and met selection criteria. Among them, 12 patients underwent TiRobot-assisted screw implantation (robot group) and 12 underwent manual screw implantation (control group) during internal fixation. There was no significant difference ( P>0.05) in baseline data such as gender, age, body mass index, disease duration, cause of injury, coracoid process fracture classification, and proportion of patients with associated injuries between the two groups. The incision length, operation time, intraoperative blood loss, hospital stay, accuracy of screw placement, coracoid process fracture healing time, and complications were recorded and compared, as well as pain visual analogue scale (VAS) score, and Constant-Murley score at last follow-up.
RESULTS:
The intraoperative blood loss and incision length in the robot group were significantly lower than those in the control group ( P<0.05); however, there was no significant difference in operation time and hospital stay between the two groups ( P>0.05). All patients were followed up 8-27 months (mean, 17.5 months), and the difference in follow-up time between the two groups was not significant ( P>0.05). At last follow-up, the VAS score for shoulder pain in the robot group was signifncatly lower compared to the control group, and the Constant-Murley score was significantly higher ( P<0.05). In the robot group, 16 screws were implanted intraoperatively, while 13 screws were implanted in the control group. Radiographic re-evaluation showed that the excellent and good rate of screw implantation was higher in the robot group (93.8%, 15/16) than in the control group (61.5%, 8/13), but the difference in the precision of screw implantation between the two groups was not significant ( P>0.05). Four patients in the robot group and 1 in the control group achieved double screws fixation; however, the difference in achieving double screws fixation between the two groups was not significant ( P>0.05). All fractures healed in both groups with 1 case of malunion in the control group. There was no significant difference in healing time between the two groups ( P>0.05). During follow-up, 1 patient in the control group experienced screw loosening and displacement. There was no significant difference in the incidence of screw loosening and fracture malunion between the two groups ( P>0.05).
CONCLUSION
Compared with manual screw implantation, TiRobot-assisted minimally invasive treatment of coracoid process fractures of the scapula can reduce intraoperative blood loss, shorten incision length, alleviate pain, and obtain better promote shoulder joint functional recovery.
Humans
;
Male
;
Female
;
Retrospective Studies
;
Fracture Fixation, Internal/instrumentation*
;
Minimally Invasive Surgical Procedures/instrumentation*
;
Adult
;
Middle Aged
;
Fractures, Bone/surgery*
;
Bone Screws
;
Coracoid Process/surgery*
;
Robotic Surgical Procedures/methods*
;
Scapula/surgery*
;
Treatment Outcome
;
Operative Time
;
Young Adult
;
Length of Stay
;
Blood Loss, Surgical
2.Analyzing the influencing factors of work-related musculoskeletal disorders in bus drivers
Chunshuo CHEN ; Xiongda HE ; Bin XIAO ; Xiaming CHEN ; Junle WU ; Jilong YANG ; Yongjian JIANG ; Yanhui LAN ; Maosheng YAN ; Haihua BIN
China Occupational Medicine 2025;52(6):624-630
Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) among bus drivers. Methods A total of 962 drivers from a bus company in Shenzhen City were selected as the research subjects using the judgment sampling method. The Musculoskeletal Disorders Questionnaire for Bus Drivers was used to investigate the prevalence of WMSDs among the research subjects. Results The prevalence of WMSDs was 37.8% in the bus drivers. The prevalence of WMSDs was higher in the low back/waist, neck, and shoulder compared with other body parts, with prevalence of 24.0%, 20.2%, and 14.8%, respectively. The prevalence of single-site and multi-site WMSDs was 18.5% and 19.3%, respectively. The results of the multivariable logistic regression analysis showed that longer job tenure and higher alcohol consumption frequency were associated with higher WMSDs risks (all P<0.01). Weekly work time >48 hours, insufficient rest, work-related fatigue, uncomfortable auxiliary lenses, non-upright trunk posture, prolonged static trunk posture, prolonged wrist flexion, and habitual staying up late were risk factors of WMSDs in the bus drivers (all P<0.05). Conclusion The prevention and treatment of WMSDs among the bus drivers cannot be ignored. Personal characteristics, work organization, work environment, working posture and sleeping habits are the factors that influence the development of WMSDs.
5.Relationship between 24 hour activity behavior and body composition among primary and secondary school students
WANG Rongjia, LI Hongjuan, WU Baoai, GAO Yanhui
Chinese Journal of School Health 2025;46(10):1489-1492
Objective:
To investigate the association between 24 hour activity behavior and body composition among primary and secondary school students using compositional data analysis method, so as to provide scientific guidance for optimizing daily activity allocation and improving physical health.
Methods:
In June 2021, following the principle of random cluster sampling, 349 primary and middle school students were selected by lottery method from Taiyuan City, Shanxi Province. Compositional multiple regression analysis was conducted to examine the relationship between different 24 hour activity behaviors and body composition indicators. The isotemporal substitution model was adopted to examine the quantitative effects of substituting 10 or 20 minutes among activity behaviors on body composition.
Results:
In girls, sedentary behavior (SB) time was negatively correlated with fat free mass (FFM) ( β =-4.81); in boys, moderate to vigorous physical activity (MVPA) time was positively correlated with FFM ( β =7.01), while light physical activity (LPA) time was negatively correlated with FFM ( β =-9.26) and positively correlated with body fat percentage (FAT%) ( β =0.09) (all P <0.01). Isocaloric substitution analysis revealed that replacing the same duration of MVPA with SB, sleep (SL), or LPA for 10 or 20 minutes produced significantly greater adverse effects compared to the beneficial effects of MVPA substitution. Replacing MVPA with LPA for 10 minutes resulted in 1.01% increase in FAT% and 0.91% decrease in reverse substitution for boys; replacing MVPA with SB or SL for 10 minutes resulted in a decrease of 1.10 kg and 1.16 kg in FFM for boys, 0.81 kg and 0.74 kg for girls, and reverse substitution increased by 0.92 and 0.97 kg, 0.65 and 0.58 kg, respectively (all P < 0.05 ). When LPA, SB or SL were replaced with MVPA for 20 minutes, the trend of change were basically consistent (all P <0.05).
Conclusions
Activity behaviors of 24 hour are associated with body composition among primary and secondary school students. MVPA is the primary influential component.
7.Intelligent recognition and automatic measurement of uterine fibroids based on ultrasonic images
Yanhui ZHANG ; Yi XIONG ; Bo SHI ; Xiaobing LIANG ; Meilan CHEN ; Kai WU
Chinese Journal of Ultrasonography 2025;34(7):602-607
Objective:To develop an intelligent recognition and precise segmentation technique using ultrasonic images,and to enhance diagnostic efficiency and accuracy.Methods:A total of 1,430 patients diagnosed with uterine fibroids through transvaginal ultrasonography at the Maternal and Child Health Hospital of Guangming from November 2020 to October 2024 were retrospectively included. Ultrasonic images were manually annotated by two experienced physicians and reviewed by a senior expert. The Mask DINO deep learning model was used for lesion segmentation,and the segmentation results were optimized using ellipse fitting technology. Model performance was evaluated using the Dice coefficient,intraclass correlation coefficient(ICC),mean absolute error(MAE),and measurement accuracy.Results:In the test set of 286 cases,the average Dice coefficient of model prediction was 0.992,indicating extremely high segmentation accuracy. The average accuracy of lesion identification by the model was 0.909,with 241 correctly identified samples,19 basically correct samples,and 26 incorrect samples. In terms of long and short axis measurements,the ICC of the model's direct predictions were 0.871(short axis)and 0.784(long axis),with MAE of 0.436 cm(short axis)and 0.508 cm(long axis). After optimization with ellipse fitting,the ICC increased to 0.893(short axis)and 0.866(long axis),and the MAE decreased to 0.191 cm(short axis)and 0.274 cm(long axis),the measurement accuracy improved significantly.Conclusions:The intelligent recognition and precise segmentation technique for uterine fibroids based on ultrasonic images constructed in this study performed excellently in lesion segmentation and measurement,it can significantly improve the efficiency and accuracy of diagnosis.
8.Study on the Suitability Regionalation of Codonopsis pilosula in Shanxi Province Based on MaxEnt and ArcGIS
Lei HOU ; Zihao XU ; Ziying LEI ; Yanhui WU ; Jun ZHANG ; Chenhui DU ; Runli HE
Chinese Journal of Information on Traditional Chinese Medicine 2025;32(4):7-13
Objective To analyze the ecological suitability of Codonopsis pilosula;To provide theoretical reference for expanding the planting scale of Codonopsis pilosula in Shanxi Province.Methods Information on the distribution of Codonopsis pilosula samples through the fourth survey of TCM resources in Shanxi Province and literature review;the MaxEnt model and ArcGIS 10.8 geographic information system software were used to analyze the ecological factors affecting the distribution of Codonopsis Radix in Shanxi Province,and the suitable distribution areas of Codonopsis pilosula in Shanxi Province were predicted.Results The predicted distribution areas of Codonopsis pilosula in Shanxi Province by the model were highly consistent with the actual distribution area;the AUC of the training set was 0.945,indicating good prediction results.The predominant ecological factors(contributing)impacting the distribution of Codonopsis pilosula included vegetation type(31.1%),the standard deviation of seasonal temperature fluctuations(25.0%),slope(8.3%),mean January precipitation(5.3%),mean May precipitation(5.0%),and elevation(4.9%)etc.The optimal vegetation types conducive to the proliferation of Codonopsis pilosula were identified as temperate deciduous shrubs,temperate grasslands,temperate coniferous forests,and temperate deciduous broad-leaved forests.The standard deviation of seasonal temperature change was within the range of 92 to 108,the slope gradient was from 14° to 30°,mean January precipitation was of 4 to 6.8 mm,mean May precipitation was of 33.5 to 58 mm,and elevation ranged from 1 100 to 2 800 meters.Codonopsis pilosula was mainly distributed in Lucheng,Qinxian and Qinyuan counties in the eastern part of Taiyue Mountain in Changzhi City;Pu County,Fenxi County,Fenyang City of Lyuliang City in the Lyuliang Mountain Range and Yushe County of Jinzhong City in the northern part of Taiyue Mountain.The most suitable area in Shanxi Province was 14 109.67 km2,the suitable area encompassed 22 837.62 km2,the relatively suitable area covered 41 982.96 km2,while the unsuitable area extended over 77 769.75 km2.Conclusion The geographical distribution data of Codonopsis pilosula resources in Shanxi Province may serve as a basis for further examination of regional zoning,with the establishment of wild cultivation bases for Codonopsis pilosula in proximity to various mountain ranges,such as the Taihang Mountains.Moreover,the artificial cultivation conditions can be modified in accordance with the optimal growth environment of Codonopsis pilosula,thereby optimizing the management of Codonopsis resources.
9.Analysis of Strategies to Enhance Traditional Chinese Medicine Services for Preventive Healthcare Based on Stakeholder Theory
Wei LIU ; Liujie FU ; Jinyu WU ; Yanhui LI ; Ran GUO ; Ruifeng LI
Chinese Health Economics 2025;44(7):30-35
Objective:In order to advance the upgrade of the Traditional Chinese Medicine(TCM)"preventive healthcare"project and develop high-quality TCM preventive healthcare services.Methods:Utilizing stakeholder theory to identify the stakeholders of current TCM health preservation services,and analyze the core stakeholders'interest relationships,influence,connection strength,policy impact,and the recognition degree for TCM"preventive healthcare".Results:It describes the economic connotations and current development status of TCM"preventive healthcare"services,where the core stakeholders include government and functional departments,medical insurance departments,medical institutions,medical and health technicians,and patient groups.By comparing the interest descriptions of core stakeholders,the existing problems are analyzed.Conclusion:The government should improve policy management and promote departmental collaboration.Medical insurance departments need to strengthen policy coordination and product development.Medical institutions should establish a multi-level service system,optimize the service model,improve the incentive mechanism for medical and health technicians,and enhance service capabilities.The patient group should enhance health awareness and optimize the service experience.Through the management strategy driven by interests,it can promote the high-quality development of TCM preventive treatment services and meet the health needs of the residents.
10.The effects of combining magnetic stimulation of the brain with acupuncture on vascular cognitive impairment and neuroinflammatory factors
Wenjie JIN ; Dianhuai MENG ; Kaitao LUO ; Xinxin ZHU ; Lifeng QIAN ; Fan YANG ; Zhaoyin KANG ; Yanhui WU ; Guangxu XU
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(4):319-324
Objective:To explore the effect of combining transcranial magnetic stimulation (rTMS) with acupuncture in the treatment of patients with vascular cognitive impairment (VCI).Methods:A total of 40 VCI patients were randomly assigned to either the control group or the experimental group ( n=20 per group) using a random number table. Both groups received routine treatment and rTMS, while the experimental group was additionally provided with acupuncture for four weeks. The rTMS was at 10Hz at 90% of the motor threshold. Before and after the treatment, both groups′ cognition was evaluated using the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE). Ability in the activities of daily living (ADL) was quantified using the modified Barthel Index (MBI). Serum levels of interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) were measured using enzyme-linked immunosorbent assays. Results:Significant improvement was observed in both groups′ average MoCA, MMSE, and MBI scores, along with reductions in peripheral serum IL-6 and TNF-α levels. The experimental group exhibited significantly higher MoCA subdomain scores in the visuospatial and executive function, attention, and delayed recall subdomains, as well as a higher total MoCA score compared to the control group. The average MMSE and MBI scores were significantly higher in the experimental group than the control group, and that group′s serum IL-6 and TNF-α levels were significantly lower, on average. Pearson correlation analysis demonstrated a positive correlation between the improvements in MoCA and MMSE scores and the reductions in IL-6 and TNF-α levels in both groups.Conclusions:rTMS combined with acupuncture effectively improves cognition and ADL ability among VCI patients. The underlying mechanism may be associated with the reduction of neuroinflammatory factors IL-6 and TNF-α.


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