3D printing technology, with a layer-by-layer construction method, enables the fabrication of intricately shaped and customizable bolus. In contrast to traditional preparation methods, 3D printing technology addresses challenges such as poor bolus fit and cumbersome production processes, offering a novel approach to efficient and personalized bolus fabrication. This article discusses the research progress of 3D printing technology in radiotherapy bolus from aspects such as the preparation process, clinical application, and research advancements, combined with the actual printing experience of Department of Radiation Oncology in Chongqing University Cancer Hospital.
Printing, Three-Dimensional ; Humans ; Radiotherapy/methods*

ObjectiveTo investigate the effect of Dendrobium officinale polysaccharides （DOP） in reversing carbon tetrachloride （CCl₄）-induced hepatic fibrosis （HF） in rats via the Notch signaling pathway and evaluate the therapeutic effect of DOP by ultrasound elastography. MethodFifty-six male SD rats were randomized into normal， model， colchicine （1×10^-4 g·kg^-1）， Fuzheng Huayu powder （0.45 g·kg^-1）， and low-， medium-， and high-dose （0.05， 0.1， 0.2 g·kg^-1） DOP groups （n=8）. The rats in the model group and each treatment group were injected subcutaneously with a mixture of CCl₄-olive oil （2∶3） once every 3 days for 10 weeks. After 6 weeks of modelling， the rats were administrated with corresponding drugs once a day for 4 weeks. Hematoxylin-eosin （HE） staining and Masson staining were employed to observe the pathomorphological changes of the liver tissue. An automatic biochemical analyzer was used to measure the serum levels of alanine aminotransferase （ALT）， aspartate transaminase （AST）， alkaline phosphatase （ALP）， and total bile acids （TBA）. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the serum levels of hyaluronic acid （HA）， laminin （LN）， type Ⅲ precollagen （PC-Ⅲ）， and type Ⅳ collagen （Col-Ⅳ）. The mRNA and protein levels of α-smooth muscle actin （α-SMA）， Notch1， Jagged1， and Hes1 in the liver tissue were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. The Young's modulus （YM） of the rat liver was measured by acoustic radiation force impulse （ARFI） elastography before and after treatment. Then， the correlations of YM with the serum levels of HA， LN， PC-Ⅲ， and Col-Ⅳ and the protein levels of α-SMA and Notch1 signaling pathway-related factors in the liver tissue were analyzed. ResultCompared with the normal group， the model group showed disordered arrangement of liver cell cords， obvious infiltration of inflammatory cells， appearance of a large number of fat vacuoles， and fibrous proliferation， elevated levels of ALT， AST， TBA， ALP， HA， LN， PC-Ⅲ， and Col-Ⅳ in the serum， and up-regulated mRNA and protein levels of α-SMA， Notch1， Jagged1， and Hes1 in the liver tissue （P<0.01）. Compared with the model group， drug interventions alleviated the pseudolobule formation and the collagen deposition in confluent areas. Except that the serum level of ALT in the low-dose DOP group had no significant changes， drug interventions， especially high-dose DOP， lowered the levels of ALT， AST， TBA， ALP， HA， LN， PC-Ⅲ， and Col-Ⅳ in the serum and down-regulated the mRNA and protein levels of α-SMA， Notch1， Jagged1， and Hes1 in the liver tissue （P<0.05， P<0.01）. The results of ARFI and correlation analysis showed that the YM of the liver tissue was increased in the model group （P<0.01） compared with that in the normal group， Compared with the model group， drug interventions decreased YM （P<0.01）. YM was positively correlated with the expression levels of HA， LN， PC-Ⅲ， α-SMA， Notch1， Jagged1， and Hes1s （r=0.754， 0.734， 0.801， 0.885， 0.896， 0.757， and 0.800， respectively， P<0.01）， and it had a moderate correlation with Col-Ⅳ （r=0.688， P<0.01）. ConclusionDOP can reverse HF by down-regulating the Notch1/Jagged1/Hes1 signaling pathway. YM can be used as an indicator in the assessment of the efficacy of DOP against HF.

Objective: To investigate the prevalence of depressive symptoms among college freshmen and analyze their influencing factors, so as to provide insights into the prevention and intervention of depressive symptoms among college students. Methods: The freshmen enrolled in a college of Hunan Province from 2020 to 2022 were recruited, and demographic data, diet and sleep status were collected using questionnaire surveys. Depressive symptoms were evaluated using Patient Health Questionnaire-9. Factors affecting depressive symptoms were analyzed using a multivariable logistic regression model. Results: Totally 17 862 questionnaires were allocated, and 16 480 valid questionnaires were recovered, with an effective rate of 92.26%. There were 3 374 students of 2020 cohort, 7 038 students of 2021 cohort and 6 068 students of 2022 cohort, 6 029 boys (36.58%) and 10 451 girls (63.42%). The prevalence of depressive symptoms among freshmen was 41.37%. Multivariable logistic regression analysis showed that female (OR=1.482, 95%CI: 1.377-1.594), enrolling through the college entrance examination (OR=1.561, 95%CI: 1.384-1.809), depression history (OR=1.990, 95%CI: 1.513-2.618), abnormal marital status of parents (divorced, OR=1.197, 95%CI: 1.064-1.348; other problem, OR=1.401, 95%CI: 1.174-1.672), abnormal diet (mild, OR=2.883, 95%CI: 2.585-3.105; moderate, OR=6.755, 95%CI: 4.653-9.808; severe, OR=38.897, 95%CI: 12.200-124.012) and abnormal sleep (mild, OR=2.785, 95%CI: 2.593-2.992; moderate, OR=9.009, 95%CI: 7.011-11.578; severe, OR=29.281, 95%CI: 14.163-60.536) were associated with increased risk of depressive symptoms among college freshmen. Conclusion The prevalence of depressive symptoms among college freshmen is relatively high, and is influenced by gender, mode of admission, history of depression, parental marital status, diet and sleep.

OBJECTIVE To explore the specific application and evaluation effect of objective structured clinical examination(OSCE)-guided scenario-based practical teaching mode in training clinical pharmacists. METHODS Fifty-six trainees who participated in the clinical pharmacist training program in the Second Xiangya Hospital of Central South University from October 2020 to September 2022 were selected as the research objects. OSCE-guided teaching was conducted, and the application effect of OSCE-guided teaching mode in clinical pharmacist training was explored and analyzed by using theoretical examination results and OSCE assessment results as evaluation indicators. RESULTS Through comparative analysis, it was found that the OSCE-guided teaching mode not only enabled students to better grasp the theoretical knowledge points required by the training outline, but also improved their clinical thinking ability, problem-solving ability, and communication and coordination skills to varying degrees. CONCLUSION For clinical pharmacist trainees, the OSCE teaching mode is conducive to the comprehensive improvement of clinical pharmacist skills and is suitable for cultivating clinical pharmacists who are capable of independently carrying out clinical pharmacy services in the new situation.

Objective To explore the effects of image registration using various regions of interest(ROI)on the setup error for nasopharyngeal carcinoma(NPC)patients who were immobilized individually.Methods Forty-three NPC patients who required radiotherapy were enrolled.The patients were immobilized with customized plastic foam and thermoplastic mask,and CBCT verification was performed once a week.In CBCT images,ROI was divided into the whole ROI(ROIPTV)and 7 local ROI containing different cervical structures(ROIsphenoid sinus,ROIatlantoaxial,ROIneck3,ROIneck4,ROIneck5,ROIneck6,and ROIneck7),which were then used for registrations with localized CT image.The setup errors in superior-inferior(SI),left-right(LR),anterior-posterior(AP),Pitch,Roll,and Yaw directions were recorded.Results In SI direction,the setup errors within 0.3 cm accounted for 89.74%for ROIneck7,and more than 90%for the other ROI.The proportion of setup errors within 0.3 cm gradually increased with the neck upward in LR direction,and they were 76.78%,81.70%,85.26%,and above 90%for ROIneck7,ROIneck6,ROIneck5,and the other ROI,respectively.In AP direction,the proportions of setup errors within 0.3 cm were less than 90%,except for ROIatlantoaxial and ROIneck3.The setup errors of ROIsphenoid sinus,ROIatlantoaxial,ROIneck3,and ROIneck4 were significantly positively correlated with ROIPTV in SI direction,and the correlation coefficients(R)were 0.94,0.95,0.90,and 0.83,respectively.In LR direction,there were positive correlations between the setup errors of ROIatlantoaxial and ROIsphenoid sinus(R=0.95),ROIneck3 and ROIsphenoid sinus(R=0.91),ROIPTV and ROIneck3(R=0.91).The setup errors of ROIPTV in AP direction were positively correlated with ROIatlantoaxial vertebrae and ROIneck3(R=0.88,0.90).The margins of all ROIs ranged from 0.38 cm to 1.01 cm.The extension of ROIneck6 and ROIneck7 in AP direction exceeded 0.9 cm,and the extension of ROIneck7 reached 0.95 cm in SI direction.Conclusion ROIPTV and ROIsphenoid sinus,ROIatlantoaxial,ROIneck3 are significantly correlated in SI,LR,and AP directions.The setup error of nasopharyngeal carcinoma patients gradually increases with the neck down.The nasopharyngeal and cervical regions need to be expanded in segments when patients are immobilized individually.

Objective:Based on the questionnaire, to analyze the current status of children′s bone age assessment in China, especially the application of artificial intelligence (AI)-assisted bone age assessment system in the clinic.Methods:This was a cross-sectional study. The questionnaire was adapted by ourselves through the literature method and expert interview method, and the whole volume included 22 questions, which were released in the form of WeChat applet questionnaire star to the physician groups of several associations and entrusted to the radiology and paediatricians with senior titles. The results of the different types of questions were summarised and analyzed, and the chi-square test was used to compare the count data.Results:A total of 450 valid questionnaires were collected from 162 medical institutions in 26 provinces and cities and autonomous regions, of which 232 (51.6%) were from 87 (53.7%) tertiary hospitals and 218 (48.4%) from 75 (46.3%) secondary hospitals. Of the respondents, 115 (25.6%) were senior, 137 (30.4%) middle and 198 (44.0%) junior. Child bone age measurement was performed at 75.9% (66/87) of tertiary care organizations and 26.7% (20/75) of secondary care organizations, and the difference was statistically significant ( χ2=39.10, P<0.001). Left wrist radiographs were predominantly used for bone age assessment (76.0%, 123/162), with 72.8% (118/162) of sites using the ATLAS method of assessment and 17.9% (29/162) using the scoring method. A total of 98.4% (443/450) of respondents agreed that AI technology should be used to assist in bone age assessment, but only 9.3% (15/162) of healthcare organizations used AI-assisted technology. Conclusion:At present, bone age assessment is widely used in medical institutions, but there are problems with non-standardized examination methods, inconsistent assessment standards, and imprecise assessment results. Expectations for AI technology-assisted diagnosis exist among a wide range of physicians, but there are fewer users.

The objective of this study was to examine the effects of electroacupuncture on the expression of ATP-binding cassette transporter A1(ABCA1),ATP-binding cassette transporter G1(ABCG1),and class B type Ⅰ scavenger receptor(SR-B Ⅰ)genes and proteins in peritoneal macrophages of atherosclerotic rabbits.The study aimed to explore the mechanism underlying the treatment of atherosclerosis(AS)with electroacupuncture.Methods Twenty-six male New Zealand rabbits were randomly divided into the negative control group(n=7)and the modeling group(n=19)using a random number table method.The negative control group rabbits were fed a regular diet,while the modeling group was induced with a combination of high-fat feed and common carotid artery balloon injury surgery to create an AS model.After successful modeling,the rabbits in the modeling group were further divided into the model group,the electroacupuncture group,and the atorvastatin group,with 6 rabbits in each group.The rabbits in the electroacupuncture group received electroacupuncture at"'Neiguan'(PC6)","'Zusanli'(ST36)",and"'Guanyuan'(ST25)"acupoints,using a density wave,a current of 1 mA,and a frequency of 4 Hz/20 Hz,once a day.The needle was retained for 20 minutes each time,and a total of 4 courses of treatment were conducted,with 6 days per course.The rabbits in the atorvastatin group were administered atorvastatin calcium tablet suspension(1 mg/kg)orally once a day,for 6 days per course,with a total of 4 courses.After the interventions,HE staining was performed to observe the morphological changes in the common carotid artery tissue of the rabbits.Peritoneal macrophages were collected from the rabbits,and the mRNA expression levels of ABCA1,ABCG1,and SR-B Ⅰ were measured using real-time fluorescence PCR.The protein expression levels of ABCA1,ABCG1,and SR-B Ⅰ were detected using Western blotting.Results The negative control group exhibited smooth intima of common carotid artery in rabbits,while the model group displayed damaged intima of common carotid artery,thickened artery walls,and the formation of atherosclerotic plaques.The electroacupuncture group and atorvastatin group showed significant improvements in wall thickening and a reduction in plaque area.Compared with the negative control group,the mRNA and protein expressions of ABCA1,ABCG1,and SR-B Ⅰ in peritoneal macrophages of rabbits in the model group were reduced(P＜0.01).Compared with the model group,the electroacupuncture group and atorvastatin group exhibited increased mRNA and protein expressions of ABCA1,ABCG1,and SR-B Ⅰ in abdominal macrophages of rabbits(P＜0.01).Furthermore,the atorvastatin group demonstrated increased mRNA levels of ABCG1 and SR-B Ⅰ,as well as increased protein expressions of ABCA1,ABCG1,and SR-B Ⅰ in peritoneal macrophages of rabbits,in comparison to the electroacupuncture group(P＜0.01).Conclusion Electroacupuncture can enhance the expressions of ABCA1,ABCG1,and SR-B Ⅰ mRNA and protein in abdominal macrophages of AS rabbits,thereby promoting the process of cholesterol reverse transport.This may be one of the mechanisms underlying the effectiveness of acupuncture in the treatment of AS.

Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Objective To explore the influencing factors of rational perioperative drug use,and to establish a rationality prediction model based on machine learning to assist pharmacists in prescription review.Methods A retrospective analysis was conducted on the perioperative prescription data of neurosurgery patients from a tertiary hospital and a central hospital in Shanxi Province between March 2021 and March 2023.Univariate analysis and multivariate Logistic regression were initially used to identify factors influencing rational drug use,followed by Lasso regression and multicollinearity analysis to select important variables.The data was split into a training set and test set at a ratio of 7∶3,and decision tree(DT),multi-layer perceptron(MLP),extreme gradient boosting(XGBoost),support vector machine(SVM),and random forest(RF)learning models were constructed.Results A total of 1 500 prescriptions were included,of which 668 were classified as rational and 832 as irrational.In both the training and test sets,the AUC values of the DT,XGBoost,and RF models exceeded 0.9.The DT model showed the highest sensitivity(0.81),while the RF model demonstrated the highest specificity(0.90).In the RF model,the number of comorbidities,preoperative waiting time,total hospitalization cost,prescribing physician's title,and adverse reaction occurrence negatively impacted prescription rationality,whereas the number of drugs,age,and administration route positively influenced rationality.Conclusion The machine learning-based rational drug use prediction model demonstrates strong predictive performance,effectively assisting pharmacists in prescription review and helping to reduce the incidence of irrational drug use.