Objective Through the exploration of the reality technology to find the treatment of type Ⅱ odontoid fractures in anterior fixation of odontoid fractures with hollow screw .Methods Based on 64 row spiral CT continuous 2-dimensional images of akull ,atlas and axis were reconstructed by the Mimics software ,Mimics software reconstruction atlas ,the atlantoaxial 3D visualization structure in Mimics, simulated surgery was carried out in the MedCAD .Results The structure of three-dimensional reconstruction image was clear ,structure of hollow screw into pin-point was accurate in virtual simulation surgery ,the screw path is correct .Conclusion Mimics Software has great val-ues in the diagnosis of odontoid fractures ,preoperative risk evaluation ,place the hollow screw and clinical teaching ,which provides an objec-tive basis for choice of treatment program .

Objective To investigate the expression of the cytosolic phospholipase A2(c-PLA2),interleukin-1 beta(IL-1?),tissue inhibitor of matrix metalloproteinase-1(TMP-1) in rat brain after injury.Methods The model of traumatic brain injury originally described by Feeney was employed.The mRNA was analyzed by RT-PCR.Results The mRNA of cytosolic phospholipase A2 was increased at 2 hour and its peak was at 7 day.At 14 day,the level of cytosolic phosphalipase A2 mRNA was still in high level as compared to the control group.Likely,the enhancement expression of interleukin-1? was seen at the 1 hour and the peak time was from 5 to 8 hour.At 72 hour,it decreased to normal level.The expression of inhibitor of matrix metalloproteinase-1 was increased at the 2 hour,and the highest expression level was seen during 48 to72 hour.It came down to normal level at 14 day after injury.Conclusion The augment of the expression of the cytosolic phospholipase A2,interleukin-1? and tissue inhibitor of matrix metalloproteinase-1 following traumatic brain injury suggested that they participated in the pathogenesis of the traumatic brain injury,and may played roles in this pathophysiological process.

Objective Through the exploration of virtual simulation surgery to find a way to treat lumbar spinal metastases. Methods Based on 64 row spiral CT continuous 2-dimensional images of lumbar segments, normal lumbar vertebral, destruction of disease, abdominal aorta and kidneys were reconstructed by the Mimics software. 3D visualization structure was contemplated by anterior lesions clear, titanium mesh of bone cement support, and posterior pedicle screw fixation. Results The three-dimensional reconstruction distinctly displayed the structures of lumbar and its adjacent organs, and the entire virtual simulation surgery was intuitive. Conclusion The application of virtual simulation surgery ensures more accurate 3D model of lumbar establishment and its adjacent organs, and it provides an objective basis for in-dividualized treatment programs.

Objective To understand the achievements of clonorchiasis sinensis control in Shandong Province during the past forty years. Methods The data of the previous annual clonorchiasis sinensis investigation in Shandong Province were collected and analyzed. Results From 1960s to 1970s, there were 107 counties existing the prevalence of clonorchiasis sinensis in Shandong Province. The infection rate of population was 1.51%, and 85.70% of the infected people were children below fifteen years old. Through the forty years' control, the decreasing of intermediate hosts such as various kinds of fishes and water-snails due to 85. 00% of ditches and ponds dried up by the lasting drying weather after 1980s, and 90. 00% of rivers polluted by increasing liquid waste, as well as the decreasing of infective chances due to 97. 90% of people breaking off the habit of eating not-well-cooked fishes by popularizing health knowledge, to 2003, the population infection rate dropped to 0.04%, 95.60% of the village where residents had the infection dropped to below 1. 00% , and 60. 00% of counties where no Clonorchis sinensis infection was found. Conclusion The clonorchiasis sinensis transmission areas reduce gradually, the infection rate of population decreases to the lowest in the history and the transmission has been controlled in Shandong Province.

In order to evaluate the consistency of the release behavior between the self-made saxagliptin and metformin hydrochloride sustained-release tablets and the reference preparations in vitro, the similarity of the dissolution curves between the self-made preparations and the reference preparations in four dissolution mediums: HCl (pH 1.0), acetate buffer saline (pH 4.5), phosphate buffer saline (pH 6.8) and pure water, and the gel morphology and strength of the self-made preparations and the reference preparations in the HCl (pH 1.0) solution medium were compared.Results showed that in four dissolution mediums, the dissolution rates of saxagliptin in the self-made preparations and the reference preparations at 15 min were greater than 85%, and the ?2 similarity factors of metformin hydrochloride were 89, 83, 80, 86, all greater than 50, so the dissolution of the self-made preparations was consistent with those of the reference preparations.The volume expansion rate, water absorption rate and erosion rate were consistent with those of the reference preparations, and the gel strength of the self-made preparations was the same as that of the reference preparations.The in vitro release behaviors of the self-made preparations and the reference preparations are consistent, which provide a good guarantee for bioequivalence.

Objective:To study the early-onset epilepsy of intracerebral hemorrhage and build a prediction model to evaluate its prediction efficiency.Methods:A cross-sectional investigation was conducted to construct a specialized optimized prediction model. The prediction model was converted into a visual optimized scoring scale, so as to quantify the probability of secondary epilepsy after intracerebral hemorrhage. Based on the current prediction model of acute cerebral infraction and post-stroke seizure (AIS-PSS), the evaluation efficacy of optimized score for secondary epilepsy after hemorrhagic stroke was explored.Results:① After sample size calculation and sufficient inclusion and exclusion, 159 patients with cerebral hemorrhage were continuously selected as the model group of this cross-sectional study. A total of 29 patients with early-onset epilepsy and 130 patients without secondary epilepsy were enrolled. The time span was from January 2021 to August 2021. In addition, 77 patients with acute cerebral hemorrhage from August 2021 to February 2022 were selected as the verification group, among which 12 patients had early-onset epilepsy and 65 patients had not any secondary epilepsy. ② There were significant differences in demographic characteristics such as diabetes history, cerebral infarction history, smoking history, National Institutes of Health Stroke Scale (NIHSS) score, intracerebral hemorrhage hematoma volume, serum creatinine (SCr), neuron-specific enolase (NSE), S-100 protein and intracerebral hemorrhage site between the two model groups with different prognosis (all P < 0.05). ③ The above indexes were included in univariate and multivariate Poisson regression analysis, and the results showed that the duration of diabetes [relative risk ( RR) = 1.229, 95% confidence interval (95% CI) was 1.065-1.896, P = 0.036], smoking history ( RR = 1.419, 95% CI was 1.133-2.160, P = 0.030), history of cerebral infarction ( RR = 1.634, 95% CI was 1.128-2.548, P = 0.041), hematoma volume of cerebral hemorrhage ( RR = 1.222, 95% CI was 1.024-2.052, P = 0.041), NES content ( RR = 1.146, 95% CI was 1.041-1.704, P = 0.032), were independent influencing factors to constitute the prediction model. The prediction model was converted into a visual optimized scoring scale in the form of a line diagram to obtain the prediction probability corresponding to the corresponding score. ④ Receiver operator characteristic curve (ROC curve) was used to test the evaluation efficiency of optimized score and AIS-PSS score for early-onset cerebral hemorrhage epilepsy. Relevant data of patients in the verification group were extracted according to the information of two scores, and the final score of each patient in the verification group was obtained. The score and prognosis were put into the ROC curve to evaluate the predictive ability of different prediction models. The results showed that the cut-off value of the optimized score and the AIS-PSS score were 144 points and 7 points, respectively, and the area under the ROC curve (AUC) and the Yoden index of the optimized score were slightly lower than the AIS-PSS score. However, compared with AIS-PSS score, there was no significant difference in the evaluation efficiency of optimized score for early-onset epilepsy ( Z = 1.874, P > 0.05). Conclusion:This study constructed a specific early-onset epilepsy prediction model for patients with hemorrhagic stroke, and transformed it into an optimized score that is easy for clinical use, and its evaluation efficiency is reliable.