Objective To measure changes of definitive volume of rebuild CT image in three dimensional conformal radiotherapy (3DCRT) treatment planning system (TPS) under different scanning and observing conditions, which may provide a reference in selecting proper condition of scanning and observing, delineating target volume, and delivering treatment plan. Methods A self-made phantom was scanned under different CT scanning conditions, datas were imported to TPS, CT images were rebuilt in three dimensions under different observing conditions, and then the volumes of large, middle and small simulated tumors on CT images were compared with their real volumes. Results The volume defined by rebuilt CT imags in 3DCRT TPS varied according to different scanning and observing conditions. When scanning axial thickness was set at 10. 000 mm, errors of large, middle and small simulated tumor were - 13.60%, - 17. 68% and - 27. 53%, respectively. When 0. 625 mm was set, errors changed to -0. 50%, -0. 68% and -0. 81% ,respectively. When scanning pitch was set at 0. 562, 0. 938, 1. 375 and 1. 750, the errors were - 1.06%, - 1.09%, 5.52% and 4.75%, respectively. Extreme observing condition, window width and window level markedly increased errors of definitive volume of rebuilt CT images with a maximum of 80. 06%. Conclusions This study may provide clues in selecting scanning and observing condition, delineating target volume, and delivering treatment plan.

BACKGROUND:Preoperative walking ability and activities are good predictors of functional recovery of patients after hip replacement. But these objective assessment tools are invalid to predict postoperative function of patients with no preoperative walking ability.
OBJECTIVE:To assess the effect of preoperative subjective physical activity questionnaire to predict the 6-month postoperative physical functioning outcomes in elder patients receiving hip arthroplasty, and to determine which aspects of patient’s characteristics influence 6-month postoperative physical activity.
METHODS:A two-center prospective audit was carried out in elder patients who underwent hip arthroplasty between November 2010 and February 2013. These patients were divided into three groups, including the group of total hip arthroplasty for fractures of the femoral neck, the group of total hip arthroplasty for osteoarthritis and the group of hemiarthroplasty for fractures of the femoral neck. Al patients had fulfil ed Longitudinal Aging Study Amsterdam-Physical Activity Questionnaire (LAPAQ) and Short Form 36 (SF-36) recal ing their physical activity at 2 weeks before the fal accident (for fractures of the femoral neck) or admission (for hip osteoarthritis). Preoperative demographic data were also col ected. Postoperative assessment regarding subjective physical activity assessment including LAPAQ and SF-36, and objective physical activity assessment including timed up and go test and six-minute walk test were evaluated at the time of 6-month postoperation.
RESULTS AND CONCLUSION:Total y 115 patients finished the study. Both preoperative LAPAQ and SF-36 can play a predictor to probe 6-month postoperative function of objective and subjective activity in patients with femoral neck fractures or hip osteoarthritis undergoing hip arthroplasty. Preoperative LAPAQ seems better than preoperative SF-36 to predict postoperative physical activity. For hip fracture patients, because preoperative objective function cannot be assessed, preoperative LAPAQ can play an effective and subjective index to predict postoperative function of objective activity, and physical functions can recover 70%-80%at 6 months postoperatively. For hip osteoarthritis patients, postoperative physical function can be increased by approximately 27%compared with before hip arthroplasty. Patient’s characteristics also affect the postoperative physical activity, and the occurrence of preoperative complications is a most important factor.

OBJECTIVE: To improve the production and inspection efficiency of medical device manufacturers, improve the quality system management level of manufacturers, and ensure the safety and effectiveness of medical devices. METHODS: Sort out the business process of the medical device manufacturer, connect the database of production and ERP system to inspection system, and build the operation software for the quality control department. RESULTS: The system has covered all the products of the manufacturer, and has realized the informatization and visualization of the inspection process. CONCLUSIONS The research and application of the system can improve the quality management traceability system of medical device manufacturers, and improve the efficiency and accuracy of medical device quality inspection.
Commerce ; Information Systems ; Quality Control ; Software

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and one of the main causes of cancer-related deaths. In the past decade, with the widespread use of computed tomography (CT) in routine screening for lung cancer, the incidence of LUAD presenting as small pulmonary nodules radiologically, has increased remarkably. The mechanisms of the occurrence and progression of LUADs are complex, and the prognoses of patients with LUAD vary significantly. Although significant progress has been made in targeted therapy and immunotherapy for LUADs in recent years, the drug resistance of tumor cells has not been effectively overcome, which limits the benefits of patients. With the accomplishment of the Human Genome Project, sequencing-based genomic and transcriptomics have come into the field of clinical and scientific researches. Single-cell sequencing, as a new type of sequencing method that has captured increasing attention recently, can perform specific analysis of cell populations at single-cell level, which can reveal the unique changes of each cell type. Single-cell sequencing can also provide accurate assessment on heterogeneous stromal cells and cancer cells, which is helpful to reveal the complexity of molecular compositions and differences between non- and malignant tissues. To sum up, it is an urgent need for clinicians and basic scientists to deeply understand the pathogenesis and development of LUAD, the heterogeneity of tumor microenvironment (TME) and the mechanism of drug resistance formation through single-cell sequencing, so as to discover new therapeutic targets. In this paper, we reviewed and summarized the application and progress in single-cell sequencing of LUADs.
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Objective:To investigate the effects of personalized intermittent energy restriction (IER) diet on sleep related gut microbiome in obese patients.Methods:In this single-arm clinical trial, a total of 35 obese patients who visited Henan Provincial People′s Hospital from April to November 2018 were recruited as research subjects. They underwent a strict 32-day IER diet intervention, divided into 4 stages of 8 days each. Nutritional recipes were formulated and nutritious meals were provided to each obese patient with timed meals, including 55% carbohydrates, 15% protein, and 30% fat per meal. In stages 1, 2, 3, and 4, patients were provided with 2/3, 1/2, 1/3, and 1/4 of their previous calorie intake every other day, respectively, with meals at 8:00 and 16:00. During the remaining time, patients were allowed unrestricted eating at home. Physiological indicators (weight, body mass index, body fat percentage, waist circumference, hip circumference, fasting blood glucose, glycosylated hemoglobin, blood pressure, triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein and Pittsburgh Sleep Quality Index (PSQI) scores were observed before and after the intervention. Gut microbiota changes were analyzed using metagenomic sequencing technology, and Spearman′s correlation analysis was used to assess the correlation between significantly different bacterial species and PSQI scores.Results:After the intervention, the body weight, body mass index, and PSQI scores of obese patients were all significantly lower than before intervention [(89.92±14.98) vs (97.53±15.67) kg, (31.94±3.95) vs (34.64±4.05) kg/m 2, (3.43±1.16) vs (5.42±2.27)], the abundance of gut microbiota was significantly higher after the intervention (all P<0.05). There were 45 significantly different bacterial species before and after the intervention, of which 6 bacterial species ( Enterobacter cloacae, Escherichia coli, Odoribacter splanchnicus, Oribacterium sinus, Streptococcus gordonii, and Streptococcus parasanguinis) showed significantly positive correlations with PSQI scores ( r=0.476, 0.475, 0.369, 0.391, 0.401, 0.423) (all P<0.05), and they were mainly enriched in the glutamate and tryptophan synthesis pathways. Conclusions:The personalized IER diet intervention can improve the sleep of obese patients while reducing weight, possibly mediated by changes in gut microbiota through the glutamate and tryptophan pathways.