Purpose:To investigate the detection ability of CT and MRI in skull base invasion in nasopharyngeal carcinoma. Methods:Sixty patients with nasopharyngeal carcinoma were examined by plain CT scan at axial sections and MRI of T_(1)WI at axial , coronal and sagittal sections and T_(2)WI at axial sections fast spin echo (FSE). Results:The overall positive rates of skull base invasion detected by CT and MRI were 16.7% and 53.3%(?~2 Test,P

Y type of fracture was produced in distal end of fresh adult human cadaver femur, and five internal fixation methods were tested for anti shear and anti torsion strength with the WD 10E machine.The results indicated that the fixation intensity of cancellous screw and bone stud was the weakest, and that of the dynamic condylar screw was the strongest.The intensity of L type plate and T type plate with the addition of cancellous or cortical compression screw were stronger than that of cancellous screw.

OBJECTIVE To establish a simple,sensitive method for detecting the double mutation of the basal core promoter(BCP) of HBV.METHODS FAM fluorescence-labeled TaqMan MGB and primers driving from the region containing the double mutation of BCP were designed for the real time PCR,then the standard positive control,standard negative control and HBV DNA were amplified and detected by the real time PCR.The results of detecting the double mutation of BCP were validated by the direct-sequencing analysis of PCR products.RESULTS The double mutation of BCP of HBV could be detected by the real time PCR.The sensitivity of the method was 3?100 copy templates and as few as 1% of mutant among wild-type virus sequence were detected.CONCLUSIONS The method can be used to detect the double mutation of BCP of serum HBV DNA.

OBJECTIVE To approach the pathogenic distribution of nosocomial infection and drug-resistance in tumor department to formulate the intervention strategy.METHODS Prospective monitoring and retrospective investigation were performed to analyze the 198 cases of nosocomial infection in tumor department.RESULTS The lower respiratory tract infection was the main infection in tumor department,accounted for 68.2%.The urinary tract infection rated the second,accounted for 16.7%.Pathogenic bacteria mainly included Pseudomonas aeruginosa(20.2%),Klebsiella pneumoniae(19.2%),Escherichia coli(16.2%),Staphylococcus aureus(10.6%),etc.Above pathogenic bacteria were all multidrug-resistant.Detection rate of extended spectrum ?-lactamases(ESBLs) producing Enterobacteriaceae strains was 45.7%.Detection rate of meticillin-resistant staphylococci(MRS) was 40.6%.CONCLUSIONS The drug-resistance status of nosocomial infection is very serious in tumor department.Comprehensive intervention strategy should be adopted to decrease the infection rate.

We conducted the detection the Francisella spp.nucle acid from Hyalomma asiaticum asiaticum that main distribution is on railway line area from China-Kazakhstan border.The free-living ticks were collected and then identified by morphological and molecular methods.After species identification,they were detected by PCR targeting 16S rRNA and sdhA of Francisella spp.The amplified products were sequenced and the sequences was analyzed by using the Blast.A phylogenetic tree was constructed using MEGA 6 software.A total of 243 fleas were identified as H.asiaticum asiaticum.Only 35 samples were detected for Francisella spp.positive and the positive rate was 14.4％.Sequence analysis showed that two different sequences (seql and seq2) and all belong to Francisella-like endosymbionts (FLEs).Phylogenetic analyses showed that two FLEs were belong to the same cladd.This is first detection of FLEs nucleic acid from H.asiaticum Railway line area of China-Kazakhstan border.

OBJECTIVE To investigate drug resistance status of the pathogens of nosocomial pulmonary infection in stroke patients and to provide the scientific reference for clinical prevention of nosocomial infections and reasonable use of antibiotics.METHODS By the methods combining prospective monitoring and retrospective review,patients′ clinical data were analyzed statistically.Referring to National Rules of Procedures in Clincal Laboratory,the strains were identified.The antibiotic susceptibility test was performed by K-B method and the results were read according to CLSI 2006.RESULTS The main pathogens of nosocomial pulmonary infection in stroke patients were Klebsiella Pneumoniae(22.0%),Pseudomonas aeruginosa(18.4%),Acinetobacter baumannii(12.7%),Staphylococcus aureus(12.3%) and Escherichia coli(11.4%).The detection rate of extensive-spectrum beta-lactamase(ESBLs) producing E.coli and K.pneumoniae was 43.2%.Meticillin-resistant S.aureus(MRSA) accounted for 39.0%.Pan-drug resistant strains were found in A.baumannii.CONCLUSIONS Drug resistance status of pathogens of nosocomial pulmonary infection in stroke patients is very serious.We should take intervention measures to prevent and control the onest and prevalence of resistant strains.

In deep learning-based image registration, the deformable region with complex anatomical structures is an important factor affecting the accuracy of network registration. However, it is difficult for existing methods to pay attention to complex anatomical regions of images. At the same time, the receptive field of the convolutional neural network is limited by the size of its convolution kernel, and it is difficult to learn the relationship between the voxels with far spatial location, making it difficult to deal with the large region deformation problem. Aiming at the above two problems, this paper proposes a cascaded multi-level registration network model based on transformer, and equipped it with a difficult deformable region perceptron based on mean square error. The difficult deformation perceptron uses sliding window and floating window techniques to retrieve the registered images, obtain the difficult deformation coefficient of each voxel, and identify the regions with the worst registration effect. In this study, the cascaded multi-level registration network model adopts the difficult deformation perceptron for hierarchical connection, and the self-attention mechanism is used to extract global features in the basic registration network to optimize the registration results of different scales. The experimental results show that the method proposed in this paper can perform progressive registration of complex deformation regions, thereby optimizing the registration results of brain medical images, which has a good auxiliary effect on the clinical diagnosis of doctors.
Algorithms ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods*

Objective : To explore the effect of 2-aminoethoxy-diphenyl borate(2-APB) on H2 O2 -induced chondro- cyte apoptosis and its mechanism． Methods : The experiment was divided into control group，H2 O2 group，2-APB group and H2 O2 + 2-APB group．CCK-8 method was used to detect the cell viability of each group ; The effect of 2- APB on the morphological changes of chondrocytes induced by H2 O2 was observed under microscopy ; TUNEL meth- od and flow cytometry were used to detect chondrocyte apoptosis ; Flow cytometry was used to detect Lipid reactive oxygen species ( ROS) ; Western blot was used to detect the protein expressions of Cleaved-PARP，p-PKCα and HIF-1α in H2 O2 -induced cells by 2-APB ; Immunofluorescence was used to detect the fluorescent expression of HIF- 1 α in cells induced by H2 O2 by PKCα inhibitor BIM-1 . Results : 2-APB inhibited H2 O2 -induced apoptosis in chon- drocytes，and the inhibitory effect was the most significant when the concentration of 2-APB was 100 μmol / L (F = 235. 80，P ＜ 0. 01 ) ; 22-APB could inhibit the positive rate of H2 O2 -induced apoptosis of chondrocytes ( F = 114. 80，P＜0. 01) and the level of ROS (F = 52. 99，P＜0. 01) ．and inhibited the expression of Cleaved-PARP (F = 10. 10，P＜0. 05) ，p-PKCα (F = 24. 56，P＜0. 05) and HIF-1α proteins (F = 6. 85，P＜0. 05) ．The PKCα in- hibitor BIM-Ⅰ could inhibit the increase in HIF-1α fluorescence intensity caused by H2 O2． Conclusion 2-APB can inhibit chondrocytes apoptosis induced by H2 O2 through the PKCα/ HIF-1α pathway and thus protect chondro- cytes.