OBJECTIVE: To investigate the influence of different scanning conditions on the image quality of medical electron accelerator cone-beam computed tomography (CBCT) and provide a reference for the selection of scanning conditions for different body parts. Methods Set different scanning conditions, the Catphan 503 phantom was scanned using CBCT parameters to analyze the influence of spatial resolution, noise, uniformity, spatial geometric accuracy, and low-contrast resolution on the image quality of CBCT. RESULTS: For the head, chest, and abdomen, with the increase in scanning parameter values, the noise value decreased by 47.4%, 26.1%, and 51.3% respectively, and the uniformity values decreased by 30.2%, 26.6%, and 47.9% respectively. The low-contrast resolution values decreased by 50.6%, 34.2%, and 12.0%. The influence of different scanning conditions on spatial geometric accuracy and spatial resolution is not significant. CONCLUSION Different scanning parameters have a certain influence on the image quality of medical electron accelerator CBCT. Lower scanning parameters can be selected based on individual patients to reduce the additional radiation dose, providing a reference for the safe application of CBCT image guidance in radiotherapy.
Cone-Beam Computed Tomography/instrumentation* ; Phantoms, Imaging ; Particle Accelerators

Vacuum compression molding (VCM) is a novel technology supporting the research and development of pharmaceutical solid dispersions. It is widely applied due to its precision and convenience in sample preparation. This technology integrates the principles of heating, melting, cooling, and vacuum compression to transform solid powders into shaped solids directly. By selecting different molds, temperatures, and pressures, researchers can prepare samples with diverse characteristics. This paper presents an overview of the equipment composition and working principles of VCM technology, demonstrating its distinct advantages in the formulation screening process of amorphous solid dispersions through comparative analysis with hot melt extrusion using case studies, and introduces its applications in the development of drug delivery systems and rheological characterization analysis, with a perspective on the future development of its functions.

Objective:To evaluate the clinical value of sacral canal posterior wall reconstruction in the treatment of symptomatic sacral canal cysts.Methods:A retrospective cohort study was conducted.The clinical data of 80 patients with symptomatic sacral cysts who underwent surgical treatment at Beijing Friendship Hospital, Capital Medical University, between June 2018 and September 2024 were collected. There were 19 males and 61 females, with an average age of (49.0±11.3) years (ranged from 23-76 years). The patients were divided into the traditional group ( n=30) and the reconstruction group ( n=50) based on the surgical approach. The traditional group underwent the conventional surgical method without reconstruction of the posterior wall of the sacral canal, while the reconstruction group underwent posterior wall reconstruction of the sacral canal. Postoperative observations included the integrity of the sacral canal posterior wall, wound healing, and symptom improvement in both groups. Measurement data with normal distribution were expressed as mean±standard deviation( ± s). Independent samples t-test was used for comparisons of measurement data between groups. Categorical data were compared using the chi-square test or Fisher′s exact test. Ordinal data were analyzed using the Mann-Whitney U test. Pearson correlation analysis was used to assess the relationship between variables. Results:Among the 80 patients, the sacral bone integrity score in the reconstruction group was (1.42±0.49) scores, compared to (3.00±0.00) scores in the traditional group, the reconstruction group showed significantly better results ( P<0.05). Symptom improvement was also significantly different between the two groups ( P=0.038): in the traditional group, 17 patients experienced complete symptom resolution, 6 partial improvement, 7 no improvement, and 0 worsening; in the reconstruction group, 37 had complete symptom resolution, 11 partial improvement, 2 no improvement, and 0 worsening. The effective improvement rate (complete+ partial improvement) in the reconstruction group was significantly better than that in the traditional group ( P=0.012). In terms of wound healing, 76 cases healed well, 4 had delayed healing, and 0 had infections. In the traditional group, 27 healed well, 3 had delayed healing, 0 infections; in the reconstruction group, 49 healed well, 1 had delayed healing, and 0 infections. There was no significant difference in wound healing rate between the two groups ( P=0.146). A significant positive correlation was found between sacral canal posterior wall integrity and symptom improvement ( r=0.288, P=0.010). Conclusion:Sacral canal posterior wall reconstruction significantly improves postoperative anatomical integrity and clinical outcomes without increasing complications, supporting its adoption as a preferred surgical approach for symptomatic sacral canal cysts.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To evaluate the detection performance of left ventricular ejection fraction (LVEF) in patients with chronic renal failure (CRF) by an artificial intelligence (AI) model based on yolox framework integrating left ventricular segmentation and critical point detection.Methods:From January 2019 to June 2023, a total of 4 284 echocardiographic images of 2 000 adults aged 18-80 years without segmental wall motion abnormalities, structural heart disease, cardiac surgery or cardiomyopathy were collected in Henan Provincial People′s Hospital to delineate the endocardial membrane, as a training set, an AI model based on yolox framework integrating left ventricular segmentation and critical point detection was established. The images were divided into the training set( n=1 675) and the test set( n=325) in a ratio of about 5∶1. All 228 echocardiographic images of 100 normal adult volunteers who were treated in Henan Provincial Chest Hospital from May 2020 to May 2021 were collected as external test set validation. All 792 echocardiographic images of 204 patients treated in Henan Provincial People′s Hospital from April 2019 to June 2023 were continuously enrolled to evaluate the measurement efficiency of AI model. Spearman correlation statistical method was used to analyze the consistency of AI model measurement with manual measurement and TomTec software measurement methods of 3 senior echocardiographic professionals. Subjects were divided into clear image group, unclear image group, normal LVEF group and reduced LVEF group, the differences of general data between the two groups were compared. The correlation coefficient(ICC) within the group was calculated to analyze the consistency, so as to evaluate the model performance. Results:LVEF measured by AI model was significantly correlated with both manual measurement and TomTec model measurement ( rs=0.834, 0.826; all P<0.01). ICC values of the clear image group and the unclear image group were 0.96 and 0.97, respectively. ICC values for all subjects, normal LVEF group and reduced LVEF group were 0.96, 0.90 and 0.96, respectively. Conclusions:The AI model based on yolox framework integrating left ventricular segmentation and critical point detection has good diagnostic performance in the automatic measurement of LVEF in patients with CRF.

Objective:To evaluate the development of fetal cerebral sulci and gyrus and the blood perfusion in pregnant women with gestational diabetes mellitus(GDM) by ultrasound.Methods:A total of 1 540 pregnant women with 28-34 weeks of pregnancy who underwent systematic screening in Henan Provincial People′s Hospital from January 2022 to October 2022 were prospectively selected, 100 pregnant women with GDM were selected as the GDM group. According to the effect of blood glucose control, the GDM group was divided into 2 groups: the satisfied control group (GDM group 1), and the dissatisfied control group (GDM group 2), with 50 cases in each group. At the same period, 50 healthy pregnant women at 28-34 weeks of gestation were enrolled as the control group. The differences of the sylvian fissure, parietooccipital sulci, calcarine sulci and cinguli sulci among the 3 groups were statistically analyzed. And the correlations between the deep of the brain cerebral sulci and gyrus and controlled blood glucose levels were evaluated. The umbilical artery pulsation index(UAPI), middle cerebral artery pulsation index(MCAPI) and ductus venosus pulsation index(DVPI) among the 3 groups were compared, and the differences in fetal blood perfusion among the 3 groups were evaluated.Results:There were no significant differences in the depths of the sylvian fissure, parietooccipital sulci, calcarine sulci and cinguli sulci between the control group and the GDM group 1 (all P>0.05), and they were larger than those of the GDM group 2 (all P<0.05). The depths of lateral fissure, parieto-occipital sulcus, cingulate sulcus and calcarine sulcus were negatively correlated with fasting blood glucose, 1 h and 2 h postprandial blood glucose (all P<0.05). There were no significant differences in MCAPI, UAPI and DVPI between the control group and GDM1 group (all P>0.05). The MCAPI in GDM 2 group was lower than that in the control group and GDM 1 group, and the UAPI and DVPI values were higher than those in the control group and GDM1 group(all P<0.05). Conclusions:The maturity of fetal cerebral sulci and gyrus in GDM pregnant women is related to the blood glucose control of pregnant women. The change of blood perfusion caused by persistent hyperglycemia in pregnant women and intrauterine hypoxia may cause the development retardation of cerebral sulci and gyrus.

Abstract: It is well-known that crystal form of a drug is a key factor impacting the physicochemical properties of the drug, which in turn affects its in vivo efficacy, safety and stability. The study on crystal forms of solid-state drugs is crucial for drug quality control, selection of production process and evaluation of clinical efficacy. The combination of chemometric and analytical techniques exhibited its great ability to analyze a large amount of multidimensional data, providing the possibility for quantification of trace amount of crystals (< 1%). Meanwhile, using the process analytical technology (PAT) to monitor the crystal content real-time during prescription preparation process can further realize the control on formulation quality and serve as a core technology to support the patent protection of crystalline forms. In this review, the combined application of crystal analytical techniques and chemometric methods for the quantitative analysis of trace crystals were summarized, aiming to provide guidance for the manufacturing of pharmaceutical preparations and their quality control.

BACKGROUND:After the internal fixation of cannulated screws in femoral neck fractures,because the affected limb is often unable to bear weight in the short term and the implants with high stiffness have a stress shielding effect on the fracture end,it is easy to cause osteoporosis of the affected limb and changes in the biomechanical distribution of the proximal femur,the incidence of osteonecrosis of the femoral head is high after surgery.At present,few studies have been conducted on the biomechanical effects of osteoporosis at the proximal end of the femur occurring after femoral neck fracture surgery on femoral neck fracture treated with cannulated screws. OBJECTIVE:Using finite element analysis,to investigate the biomechanical effects of osteoporosis occurring after femoral neck fracture surgery on femoral neck fracture treated with cannulated screws and explore the role of biomechanical factors in osteonecrosis of the femoral head. METHODS:Based on the obtained CT scan data of the femur in a patient with a femoral neck fracture,a proximal femoral model for internal fixation for femoral neck fracture was established by Mimics 19.0,3-Matic,UG 11.0,Hypermesh 14.0,and Abaqus software.One finite element model of the proximal femur without osteoporosis and three finite element models of the proximal femur with osteoporosis were analyzed using Abaqus software.The stress,contact pressure,displacement peak and cloud map under different components of the four models were measured and analyzed,and the internal stress changes and distribution of the femoral head were compared and analyzed. RESULTS AND CONCLUSION:The stresses and contact pressures of the femoral head and lower anterior cannulated screws varied more with the degree of osteoporosis.The peak displacement of the four models increased slowly with the degree of osteoporosis.By one-way analysis of variance,there was no significant effect of the degree of osteoporosis on the peak stress,contact pressure,and displacement of the different components.The internal stress distribution of the femoral head changed with the degree of osteoporosis.Changes in the biomechanical environment of the proximal femur have an important impact on osteonecrosis of the femoral head.