1.Comparative analysis of indirect method and dual-antigen sandwich method in screening of reagents for HIV detection
Ling YUAN ; Fangxiang CHEN ; Jianzhong LIU ; Guishan MA ;
Journal of Third Military Medical University 2002;0(12):-
Objective To estimate the quality of HIV 1/2 antibody labeled ELISA Kit made in China by indirect method and dual antigen sandwich method. Methods Eight kits were divided into 4 groups according to the manufacturers (indirect method and dual antigen sandwich method for the same manufacturer in one group) and were used for the determination of 100 serum samples. The positive and suspected positive results were affirmed by Western blot analysis. Results The sensibility, efficacy ratio and NPV range of indirect method were 97.97%~100%, 93.49%~98.04% and 97.05%~100%, respectively, but 2 kits failed to detect the HIV positive sample. The sensibility, efficacy ratio and NPV range of dual antigen sandwich method were 100%, 96.15%~100% and 100% without mis diagnosis. Conclusion Dual antigen sandwich method is better than indirect method in some indexes of quality.
2.Aapplied analysis of radiotherapy apparatus schedule optimization for tumor patients
Guishan FU ; Peng HUANG ; Pan MA ; Ke ZHANG ; Zhong ZHANG ; Jianrong DAI
Chinese Journal of Radiation Oncology 2015;24(2):176-179
Objective To design and develop a treatment unit selecting system in aim of enhancing work efficiency and safety,adjusting treatment unit workload,improving quality of medical care.Methods Various treatment techniques,immobilization devices and setup verification devices were modeled in software.Workload of treatment units were extract from the Record and Verify System.These two types of information were then combined with the unit's workload capability to calculate the optimal radiotherapy apparatus for tumor patient.Results The system had finished selecting radiotherapy apparatusv for more than 5 000 patients since its taking place of the old patient selecting methods.Maximum variation of daily treatment duration between treatment units had decreased from 4-5 hours (mean 4.22 hours) to 1-2 hours (mean 1.84 hours) since the system have been put into operation.Workload and device configuration of various units could be controlled by easily editing of the system configuration file.Conclusions The system developed not only accomplish patient selecting in an optimal and safe way,but also provide a way of easily control the treatment unit workload.