OBJECTIVE To discuss the relevant factors and preventive measures of nosocomial infection Cancer patients undergoing chemotherapy. METHODS The clinical data of 957 malignant tumor patient′s were retrospectively analyzed. RESULTS 62 patient′s occurred nosocomial infection after Chemotherapy and the rate of infection was 6.48%. The infection site in the respiratory tract accounted for 45.16%; the most commons lung cancer accounted for 33.87%. The patient′s age, length of stay, decreased total number of white blood; long-term use of broad-spectrum antibiotics was the risk factor of nosocomial infection. CONCLUSIONS The imunity of the patients reduced after chemotherapy and nosocomial infection rate increas. We must take some effective prevention measures for the risk factors to reduce nosocomial infection.

Objective To evaluate the clinical efficacy of recombinat human brain natriuretic peptide (rhBNP) in the treatment of acute myocardial infarction (AMI) with heart failure in aged patients. Methods Totally 63 elderly patients with AMI and heart failure were randomly divided into therapy (29 cases) and control (34 cases) groups.Besides routine treatment,the therapy group received rhBNP in continuous intravenous infusion, while control group was treated with nitroglycerin.Both drugs were administered for 3-5 days.The dyspnea remission rates after treatment were recorded.At the same time,heart rates and blood oxygen saturation,left ventricular ejection fraction (LVEF) and left ventricular end diastolic volume (LVDD),serum interleukin 6 (IL-6) and high sensitivity C reactive protein (hsCRP) were recorded before and after treatment. Results The total effective rate after the treatment was 79.3 ％ (23/29) in therapy group and 64.7％ (22/34) in control group(P =0.017).The dyspnea remission rate was better in therapy group than in control group (P＜0.05).The heart rate,blood oxygen saturation,LVEF,hsCPR and IL-6 in therapy group were [(120± 11) times/min,(78 ± 6) ％,(28 ± 32) ％,(25.78 ± 2.44) mg/L,(40.74 ± 5.43) μg/L]before treatment,and after treatment [ ( 89 ± 9) times/min,( 97 ± 6 ) ％,(43 ±± 20) ％,( 12.78 ± 2.54 )mg/L,(28.45±2.34) μg/L] (all P＜0.05).The above indexes in control group were [(117±8)times/min,(80±8) ％,(29±31)％,(21.44±1.33) mg/L,(41.87±5.46) μg/L] before treatment,and after treatment[(109± 10) times/min,(34±18) ％,(43±20) ％,(17.63± 1.62) mg/L,(36.56±3.02) μg/L].The heart rate and the levels of IL-6 and hsCPR were reduced,blood oxygen saturation and LVEF were increased in therapy group than those in control group. Conclusions rhBNP is efficient in the treatment of elderly AMI with heart failure.

Objective To investigate the clinical efficacy and side reaction of brucea javanica oil ( BJO) combined with 125I and chemotherapy on stageⅢ?Ⅳpatients with non?small cell lung cancer ( NSCLC) . Methods One hundred and twenty cases on stageⅢ?Ⅳpatients with NSCLC were randomly divided into two groups,60 cases received BJO combined with 125I and chemotherapy treatment(observation group),the other 60 cases received 125I combined with chemotherapy treatment(control group). Results The objective response rate(ORR) and disease control rate (DCR) were 71. 7%,86. 7% of observation group and 66. 7%,85. 0% of control group,there were no significant difference(χ2=0. 352,0. 069;P>0. 05) . The improvement rate of KPS score in observation group was significantly superior to that in control group, the difference was significant (76. 7% vs. 55. 0%;χ2=6. 261,P<0. 05) . The incidence of myelosuppression and gastrointestinal adverse e?vents in observation group was significantly lower that in control group ( 68. 3% vs. 83. 3%,41. 7% vs. 61. 7%;χ2=3. 883,4. 805;P<0. 05) . Conclusion BJO combined with 125I and chemotherapy for treating on stageⅢ?Ⅳ patients with NSCLC can reduce the toxicity and side effects caused by chemotherapy,and significantly im?prove the clinical symptoms and quality of life of patients.

Objective:To propose a machine learning-based markerless beam′s eye view (BEV) tumor tracking algorithm that can be applied to low-quality megavolt (MV) images with multileaf collimator (MLC)-induced occlusion and non-rigid deformation.Methods:This study processed the registration of MV images using the window template matching method and end-to-end unsupervised network Voxelmorph and verified the accuracy of the tumor tracking algorithm using dynamic chest models. Phantom QA plans were executed after the treatment offset was manually set on the accelerator, and 682 electronic portal imaging device (EPID) images obtained during the treatment were collected as fixed images. Moreover, the digitally reconstructed radiography (DRR) images corresponding to the portal angles in the planning system were collected as floating images for the study of target volume tracking. In addition, 533 pairs of EPID and DRR images of 21 lung tumor patients treated with radiotherapy were collected to conduct the study of tumor tracking and provide quantitative result of changes in tumor locations during the treatment. Image similarity was used for third-party validation of the algorithm.Results:The algorithm could process images with different degrees (10%-80%) of data missing and performed well in non-rigid registration of images with data missing. As shown by the phantom verification, 86.8% and 80% of the tracking errors were less than 3 mm and less than 2 mm, respectively, and the normalized mutual information (NMI) varied from 1.18 ± 0.02 to 1.20 ± 0.02 after registration ( t = -6.78, P = 0.001). The tumor motion of the clinical cases was dominated by translation, with an average displacement of 3.78 mm and a maximum displacement of 7.46 mm. The registration result of the cases showed the presence of non-rigid deformations, and the corresponding NMI varied from 1.21 ± 0.03 before registration to 1.22 ± 0.03 after registration ( t = -2.91, P = 0.001). Conclusions:The tumor tracking algorithm proposed in this study has reliable tracking accuracy and high robustness and can be used for non-invasive and real-time tumor tracking requiring no additional equipment and radiation dose.

Objective:To evaluate the feasibility of predicting lung cancer target position by online optical surface motion monitoring.Methods:CT images obtained in different ways of stereotactic body radiotherapy (SBRT) plans from 16 lung cancer cases were selected for experimental simulation. The planned CT and the original target position were taken as the reference, and the 10 phases of CT in four dimension CT and each cone beam (CBCT) were taken as the floating objects, on which the floating target location was delineated. The binocular visual surface imaging method was used to obtain point cloud data of reference and floating image body surface, while the point cloud feature information was extracted for comparison. Based on the random forest algorithm, the feature information difference and the corresponding target area position difference were fitted, and an online prediction model of the target area position was constructed.Results:The model had a high prediction success rate for the target position. The variance explainded and root mean squared error ( RMSE) of left-right, superior-inferior, anterior-posterior directions were 99.76%, 99.25%, 99.58%, and 0.0447 mm, 0.0837 mm, 0.0616 mm, respectively. Conclusion:The online monitoring of lung SBRT target position proposed in this study is feasible, which can provide reference for online monitoring and verification of target position and dose evaluation in clinical radiotherapy.

Objective:To propose a markerless beam's eye view (BEV) tumor tracking algorithm, which can be applied to megavolt (MV) images with poor image quality, multi-leaf collimator (MLC) occlusion and non-rigid deformation.Methods:Window template matching, image structure transformation and demons non-rigid registration method were used to solve the registration problem in MV images. The quality assurance (QA) plan was generated in the phantom and executed after manually setting the treatment offset on the accelerator, and 682 electronic portal imaging device (EPID) images in the treatment process were collected as fixed images. Meanwhile, the digitally reconstructured radiograph (DRR) images corresponding to the field angle in the planning system were collected as floating images to verify the accuracy of the algorithm. In addition, a total of 533 images were collected from 21 cases of lung tumor treatment data for tumor tracking study, providing quantitative results of tumor location changes during treatment. Image similarity was used for third-party verification of tracking results.Results:The algorithm could cope with different degrees (10%-80%) of image missing. In the phantom verification, 86.8% of the tracking errors were less than 3 mm, and 80% were less than 2 mm. Normalized mutual information (NMI) varied from 1.182±0.026 to 1.202±0.027 ( P<0.005) before and after registration and the change of Hausdorff distance (HD) was from 57.767±6.474 to 56.664±6.733 ( P<0.005). The case results were predominantly translational (-6.0 mm to 6.2 mm), but non-rigid deformation still existed. NMI varied from 1.216±0.031 to 1.225±0.031 ( P<0.005) before and after registration and the change of HD was from 46.384±7.698 to 45.691±8.089 ( P<0.005). Conclusions:The proposed algorithm can cope with different degrees of image missing and performs well in non-rigid registration with data missing images which can be applied in different radiotherapy technologies. It provides a reference idea for processing MV images with multi-modality, partial data and poor image quality.

Objective To explore the gene expression profile in paraspinal muscle degeneration(PMD)and identify key ferroptosis genes.Methods RNA sequencing was performed on paraspinal muscle tissue of 3 normal and 3 PMD patients respectively to obtain differentially expressed genes.Through protein-protein interaction(PPI)and gene functional enrichment analysis,the intersection of ferroptosis genes was identified to identify key hub genes associated with ferroptosis.The diagnostic value for PMD disease was analyzed by receiver operating characteristic(ROC)curves.Results A total of 292 differentially expressed genes were identified in PMD.Among them,125 genes were significantly downregulated and 167 genes were significantly upregulated.Bioinformatics analysis revealed that 14 differentially expressed genes were associated with ferroptosis.Among them,ferroptosis genes MUC1,ATF3 and CDKN1A were key hub genes with good specificity and sensitivity for diagnosing PMD.Functional enrichment analysis revealed that they may mediate the occurrence and progression of PMD by regulating cell apoptosis,ferroptosis and skeletal muscle tissue development and differentiation.Conclusion Ferroptosis genes MUC1,ATF3 and CDKN1A can serve as biomarkers for diagnosing PMD,providing theoretical basis for decoding the pathological mechanism of PMD and developing new drugs.

Preventing and mitigating major risk exposure is an important task for modern countries to maintain sustained and healthy economic development and overall social stability. In this manuscript, the authors introduced Israel′s current medical and health care risk prevention system, including the regional health emergency response coordination mechanism, hospital′s external emergency rescue capacity building and hospital′s internal security system. Israel′s risk prevention system has been tested by wars and terrorist attacks, as well as many infectious diseases outbreaks. Thus the authors expected that its successful experiences can be introduced as a reference for improving China′s medical and health care risk prevention system.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.