At present, the C-arm structure accelerators commonly used in radiotherapy equipment are complex in operation and have potential safety hazards when realizing non-coplanar treatment. By combining with medical robotic arm technology, a spherical radiotherapy accelerator motion system is designed. The beam module is clamped by the medical robotic arm structure to achieve three-dimensional multi-angle irradiation treatment within the non-coplanar angle range. Firstly, the rotating mechanism, beam module, and MLC module of the spherical radiotherapy equipment are designed. Then, the double-plane counterweight method is used to calculate the dynamic balance of the equipment, ensuring that the beam center point does not rotate during the treatment process. Finally, the strength check and reliability analysis of the transmission component gear are conducted. The results show that the designed spherical radiotherapy accelerator motion system can meet the requirements of stable, accurate, and fast precision radiotherapy, which is conducive to improving the treatment efficiency.
Particle Accelerators/instrumentation* ; Equipment Design ; Reproducibility of Results ; Radiotherapy/instrumentation*

Objective:To assess the predictive value of a combined multiclassification model for computed tomography(CT)in the patholo-gical analysis of ground-glass nodules(GGN).Methods:Pulmonary GGN lesions that were pathologically confirmed as invasive adenocar-cinoma(IAC),minimally invasive adenocarcinoma(MIA),adenocarcinoma in situ(AIS),and preinvasive lesions(PILs),were collected from pa-tients who were treated at The First Affiliated Hospital of Xinxiang Medical University between February 2019 and March 2023.A total of 324 nodules were retrospectively collected from 285 patients,and divided into three groups:infiltrating IAC,MIA,and PILs.Radiomics and clinical-CT features were selected through recursive feature elimination and univariate Logistic regression.Seven models were constructed using Logistic regression(LR),support vector machine(SVM),random forest(RF),and integrative learning(stacking).Results:The hybrid model combining clinical-CT-radiomics features and an integrative strategy showed superior predictive performance,with an accuracy of 0.791,precision of 0.788,specificity of 0.857,recall of 0.790,and F1-Score of 0.789.Conclusions:The multiclassification joint model based on CT-radiomics is effective in predicting pathological classification of pulmonary GGNs.This model aids in accurate imaging diagnosis and can provide a basis for optimizing treatment plans.

Objective:To investigate the mortality-related factors affecting patients with gastrointestinal perforation who are transferred to the intensive care unit (ICU) and to establish a prediction model, and to evaluate the predictive performance of the model.Methods:A retrospective analysis was performed on the medical records of 306 patients who underwent gastrointestinal perforation surgery in Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2021 to January 2024 and were transferred to intensive care unit after surgery, including 176 males and 130 females, aged from 28 to 92 years with the average of (66.07±16.03) years. According to the prognosis, patients were divided into survival group ( n=264) and death group ( n=42). Clinical characteristics of the two groups were compared, univariate and multivariate Logistic regression was used to analyze the risk factors of perioperative death, and the related risk factors were selected to establish a nomogram prediction model, the subject work curve was drawn, and the area under the curve (AUC) was calculated. Evaluate its predictive effectiveness; The calibration chart and clinical decision curve were further used to evaluate the prediction accuracy and clinical application value of the model. Results:Clinical data analysis showed that age, white blood cell count, procalcitonin, lactic acid level, preoperative shock, preoperative underlying diseases (cerebral infarction, hormone history), intraoperative blood loss, postoperative lung infection in the death group were higher than those in the survival group ( P<0.05), and hemoglobin was lower than those in the survival group ( P<0.05). Multivariate Logistic regression analysis showed age ( OR=1.422, 95% CI: 1.205-1.680, P<0.001), hemoglobin ( OR=0.945, 95% CI: 0.904-0.987, P=0.012), white blood cell count ( OR=1.832, 95% CI: 1.341-2.501, P<0.001), procalcitonin ( OR=1.099, 95% CI: 1.012-1.192, P=0.024), lactic acid level ( OR=16.435, 95% CI: 3.729-72.425, P<0.001), reoperative shock ( OR=172.358, 95% CI: 13.059-2274.773, P<0.001), intraoperative blood loss ( OR=1.041, 95% CI: 1.017-1.065, P=0.001) and postoperative pulmonary infection ( OR=38.670, 95% CI: 3.449-433.553, P=0.003) was an independent risk factor for perioperative death in intensive care patients after DTP. Based on the screened independent risk factors ( P<0.05), a nomogram model was established and receiver operating characteristic (ROC) curve was drawn. The model area under the curve was 0.985. The accurate graph shows that the predicted results of the model are in good agreement with the actual clinical results, and the analysis of clinical decision curve indicates that the model has high clinical prediction value. Conclusion:Age>71.5 years, hemoglobin< 109 g/L, white blood cell count>17.9×10 9/L, procalcitonin>6.225 ng/mL, lactate level>2.25 mmol/L, preoperative shock, intraoperative blood loss>45 mL and postoperative pulmonary infection are independent risk factors for perioperative death in intensive care patients after DTP.

The dental operative microscope has been widely employed in the field of dentistry, particularly in endodontics and operative dentistry, resulting in significant advancements in the effectiveness of root canal therapy, endodontic surgery, and dental restoration. However, the improper use of this microscope continues to be common in clinical settings, primarily due to operators' insufficient understanding and proficiency in both the features and established operating procedures of this equipment. In October 2019, Professor Jingping Liang, Vice Chairman of the Society of Cariology and Endodontology, Chinese Stomatological Association, organized a consensus meeting with Chinese experts in endodontics and operative dentistry. The objective of this meeting was to establish a standard operation procedure for the dental operative microscope. Subsequently, a consensus was reached and officially issued. Over the span of about four years, the content of this consensus has been further developed and improved through practical experience.
Humans ; Dentistry, Operative ; Consensus ; Endodontics ; Root Canal Therapy ; Dental Care

Objective:To analyze the changes of serum lipidomics in patients with sepsis and healthy controls, search for the differences of lipid metabolites, and reveal the changes of lipidomics in the process of sepsis.Methods:A prospective observational study was conducted. From September 2019 to April 2020, morning blood samples of upper extremity superficial veins were collected from 30 patients with definite sepsis diagnosed in intensive care unit (ICU) of Shanxi Bethune Hospital and 30 age-matched healthy subjects during the same period. Serum lipid metabolites were analyzed by ultra-high performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS), and the quality control samples were analyzed by base peak spectroscopy (BPC) and verified experimental repetition. Student t-test and fold change (FC) were used for screening significant differences in lipid metabolites and determining their expression changes. Principal component analysis (PCA) and orthogonal projectionto latent structure discriminant analysis (OPLS-DA) were used to determine the entire allocation of experimental groups apiece, access the quality of being near to the true value of model, and screen the differential lipid metabolites with variable importance of projection (VIP). Finally, Metabo Analyst platform database was used to analyze lipid molecular metabolic pathways. Results:BPC results showed that the experimental repeatability was good and the experimental data was reliable. The main parameter model interpretation rate of PCA model R 2X = 0.511, indicating that the model was reliable. The main parameter model interpretation rate of OPLS-DA model R 2Y = 0.954, Q 2 = 0.913, indicating that the model was stable and reliable. With FC > 2.0 or FC < 0.5, P < 0.05, a total of 72 differential lipid metabolites were obtained based on VIP > 1. Based on Metabo Analyst 5.0, 24 distinguishable lipid metabolites were identified including 8 phosphatidylethanolamine (PE), 7 lysophosphatidylcholine (LPC), 6 phosphatidylcholine (PC), 2 lysophosphatidylethanolamine (LPE) and 1 phosphatidylserine (PS). Compared with healthy volunteers, the lipid molecules expression proved down-regulated in most sepsis patients, including PC, LPC, LPE, and some PE, while some PE and PS were up-regulated, which was mainly related to the PE (18∶0p/20∶4), PC (16∶0/16∶0) and LPC (18∶1) metabolic pathways in glycerophospholipids. Conclusions:There are significant differences in lipid metabolites between the sera of sepsis patients and healthy volunteers. PE (18∶0p/20∶4), PC (16∶0/16∶0) and LPC (18∶1) may be new targets for sepsis prediction and intervention.

Objective:To screen lipid biomarker in sepsis patients with different survival outcome based on ultra high performance liquid chromatography-mass spectrometry(UHPLC-MS/MS) technique.Methods:From September 2019 to April 2020, 30 septic patients admitted in Department of Intensive Care Unit and 30 cases of physical examination at the same time in Shanxi Bethune Hospital were studied. Lipid metabolite in serum were detected by UHPLC-MS/MS technique. According to the 28 day survival outcome of sepsis patients, they were divided into survival group (21 cases) and death group (9 cases). The baseline data of case group and control group, survival group and death group were compared respectively. Independent sample t-test and orthogonal partial least squares discriminant analysis (OPLS-DA) were further performed to identify lipid biomarkers related to sepsis survival outcome. Receiver operating characteristic (ROC) curve to evaluate the predictive efficacy of differential lipids on the survival outcome of biomarker sepsis patients. Results:There were 32 lipid subclasses and 1 437 differential lipid molecules in the sepsis group compared with the control group. 196 differential lipid molecules in the sepsis survival group and the death group were screened according to the OPLS-DA model (variable weight of projection (VIP)>1), which were glycerophosphingolipids (129), sphingolipids (52), glycerides (14), and sterols (1).All the original data were statistically analyzed by univariate independent sample t-test. There were statistically significant differences in 15 lipid molecules between the two groups. Combined with VIP > 1 and P < 0.01, three lipid molecules were finally screened, which were sphingomyelin (SM) lipid molecules, SM (d30∶1), SM (d32∶2), SM (d32∶1). ROC curve analysis showed that the areas under curves of the above three lipid molecular were 0.915, 0.892, 0.898, respectively. The sensitivity was 77.27%, 95.45%,72.73%. The specificity was 100.0%, 87.5%,100.0%. Further Z-test showed that there was no significant difference in the area under the ROC curve ( Z(SM (d30∶1) and SM (d32∶1)) =0.36, P=0.722; Z(SM (d30∶1) and SM (d32∶2))=0.34, P=0.732; Z(SM (d32∶1) and SM (d32∶1))=0.07, P=0.942). Conclusions:Sphingomyelin may be involved in the formation of different clinical outcomes of sepsis, and has a good predictive effect on the survival outcome of sepsis.

Objective:To investigate the expression of Macrophage migration-inhibitory factors (MIF) in hepatocellular carcinoma (HCC) tissues and its interaction with ERK1/2 signaling pathway, so as to establish a theoretical basis for further studying the molecular mechanism of MIF promoting HCC.Methods:From February 2020 to August 2021, 52 cases of hepatocellular carcinoma (HCC) tissues based on hepatitis B cirrhosis (HBV-LC) and 52 cases of adjacent tissues in Tianjin Medical University Cancer Hospital and 940th Hospital of Joint Logistic Support Force of PLA were collected as the experimental group, including 39 males and 13 females, aged 35-65 years. And 20 cases of normal liver tissue were selected as the control group. Immunohistochemistry was used to detect the expression of MIF, ERK1/2 and p-ERK1/2 proteins in liver tissues of the two groups, and in situ hybridization was used to detect the expression of ERK1/2 nucleic acid in liver tissues of the two groups.HepG2 HCC cells and L-02 normal hepatocytes were co-cultured with different concentrations of rMIF, the expression and phosphorylation levels of ERK1/2 and JNK1 proteins in the two kinds of liver cells were detected by Western-blot, and the expression levels of ERK1/2 nucleic acids in the two kinds of liver cells were detected by RT-PCR. One-way ANOVA was used for measurement data and χ 2 test was used for counting data. Results:The expressions of MIF, ERK1/2, p-ERK1/2 and ERK1/2 mRNA were significantly increased in HCC and para-cancer tissues (the expression of MIF in HCC group was 78.8%, and that in adjacent group was 75.0%; ERK1/2 80.8% in HCC group and ERK1/2 71.8% in paracancerous group. The expression of p-ERK1/2 75.0 % in HCC group and 46.2% in paracancerous group were respectively detected. ERK1/2 mRNA was expressed in HCC group 76.9%, ERK1/2 mRNA expression in paracancerous group 78.8%), and the differences were statistically significant compared with normal liver tissues ( P<0.05), but there was no significant difference between HCC and para-cancer tissues ( P>0.05). The expressions of ERK1/2, p-ERK1/2 and ERK1/2 mRNA in HepG2 HCC cells were significantly increased with the increase of rMIF concentration, and the increase was most obvious when rMIF concentration was 200 ng/ml, and the difference was statistically significant compared with L-02 normal hepatocytes ( P<0.05). Conclusion:MIF, ERK1/2 and p-ERK1/2 are highly expressed in HCC tissues and HepG2 HCC cells, suggesting that MIF promotes the occurrence and development of hepatocellular carcinoma through ERK1/2 signaling pathway.

Objective:To investigate whether the squirrels in Yunnan Province carried Yersinia pestis phages and their epidemiological significance. Methods:From 2015 to 2018, plague host animals were investigated in five of Yunnan plague foci and non-plague foci. The spleen, liver and intestinal specimens of the squirrels captured in the investigation were taken and stored at low temperature for later use. Intestinal specimens with PBS solution, were filtered by 0.22 μm and added to LB liquid medium containing 100 μl suspension of plague vaccine strain (EV76) and then oscillated in a constant temperature gas bath at 28 ℃ and 220 r/min for 18 to 24 h. The double-layer plate method was used to isolate and observe the growth of plaque. The morphology and structure of Yersinia pestis phages were observed under electron microscope. Meanwhile, spleen, liver and intestinal specimens were taken for detection of Yersinia pestis specific marker gene caf1. Results:A total of 10 squirrels were captured (8 Callosciurus erythraeus and 2 Dremomys pernyi), and four Yersinia pestis phages were isolated (2 in Callosciurus erythraeus and 2 in Dremomys pernyi). Two were isolated from non-plague foci (Yongshan County), two from house rats plague foci (Mile County and Xinping County), and none was isolated from wild radents plague foci (Jianchuan County and Eryuan County). By naked eye observation, two bacteriophages from the plague foci produced transparent plaques and grew well, while two bacteriophages from non-plague foci produced translucent plaques and with poor growth. By electron microscopy, these Yersinia pestis phages were of typical Myoviridae family, their head diameter was about 40 nm, muscle tail was about 120 nm, and tail filament cluster was slightly visible at the end of muscle tail. And all the 10 samples of squirrels were negative of plague-specific caf1 gene. Conclusions:The proportion of plague phages carried by Yunnan squirrels is relatively high. Although the detection of caf1 is negative. Squirrels may be a carrier of plague transmission due to the existence of Yersinia pestis phages.

Objective To explore the correlation between platelet function and immunity index in patients with sepsis. Methods The platelet function and immune indexes of one hundred and one patients with sepsis treated in Shanxi Dayi Hospital from July 1st, 2016 to October 31st, 2017 were analyzed retrospectively. According to their shock,they were divided into shock group (34 cases) and non shock group (67 cases). Another 50 healthy people in the same period in our hospital were selected as control group. The relationship between platelet function and immune indexes was compared. Results ( 1) the incidence of maximum blood block intensity decreased in the thrombus map of the septic shock group was higher than that in the non shock group, and the difference was statistically significant ( 65. 67%( 44/67 ) vs. 23. 53%(8/34),χ2＝41. 28,P＜0. 05); (2) the CD4+T lymphocyte and C3 in the septic shock group were all lower than those in the non shock group ((47. 28%±7. 78) vs. (54. 93%±11. 26),t＝3. 554,P＜0. 05; (0. 42 ±0. 23) g/L vs. (0. 75±0. 19) g/L,t＝－3. 057,P＜0. 05),the ratio of CD4+/CD8+T lymphocyte was higher than that in non shock group ((2. 68±0. 18) vs. (2. 45±0. 07),t＝7. 18,P＜0. 001)). (3) the maximum intensity of blood clots was correlated with the percentage of CD4+T lymphocyte,CD4+/CD8+T lymphocyte ratio,complement C3,acute physiology and chronic health status score system II score,and sequential organ failure score ( r ＝ 0. 617, 0. 411, 0. 563,－ 0. 631,－ 0. 547, P＜ 0. 01, or P＜ 0. 05 ) . Conclusion Thrombocytopenia is present in septic patients,which is correlated with changes in immune indices.

Electronic data capture(EDC) plays an important role in improving the quality of clinical research.The authors introduced the main functions of EDC and the use flow, then from its core function, analyzed the role of EDC in improving the quality of clinical research and scientific research management. Then they proposed the thinking of finding and solving problems from EDC " big data".Their efforts aim at enabling research administrators in extending clinical research management scope and management quality.