Construction And Application Of Cerebrovascular Diseases' Imaging Databank

Part1 Construction of cerebrovascular diseases' imaging databankAim:Construction and application of cerebrovascular diseases' imaging databank, in order to offer a preferable platform for registry study.Methods:Establish searching fields of cerebrovascular diseases' imaging databank by finding out Situation of Study, Clinical features, imaging features of cerebrovascular disease; initiate WindowsXP operating floor, enter into Access2003 then construct databank which includes table, query,forms,report forms etc.Result: Construct a cerebrovascular diseases' imaging databank which possesses functions of memory, data's input and output, retrieval, statistical analysis etc.Conclusion:Cerebrovascular diseases' imaging databank may play an irreplaceable role of clinical study, managing data, education, clinical experience.Part2 Analysis of regression of Spontaneous cerebral hemorrhage in basal ganglia.Aim:Study prognostic factors of Spontaneous cerebral hemorrhage in basal ganglia in imaging point of view.Methods:Collect cases of Spontaneous cerebral hemorrhage in basal ganglia from Cerebrovascular diseases' imaging databank,date from Jan,1st,2007 to,Jan,1st,2010,Record imaging features and medical treatment of these cases in detail, then track them 30 days and outcome. Screen variables and clear up these datum,choose subtype of prognosis after×days' cerebral hemorrhage as dependentvariable(Y), choose prognostic factors as independent variable (X1--Xm), use statistical software SPSS13.0, divide statistic datum into two types by qualitative variable and quantitative variable. It use frequency of population to represent categorical variable (chi-square test), and use Mean Rank to represent numerical variable (Rank sum test), analysis possible prognostic factors by the method of One-way analysis of variance, then find index which related to after×days' prognosis to multi-factor unconditioned Logistic analyse regressively, obtain regressive equation and screen out independent prognostic factors by likelihood ratio test methods.Result:the study collects and Logistic regressively analyses possible prognostic factors affect after 30 days' Spontaneous cerebral hemorrhage in basal ganglia, screen out independent prognostic factors to abtain regressive equation then construct predicted model.so as to offer an favourable methods to judge early prognostic factors and treatment of Spontaneous cerebral hemorrhage in basal ganglia.Conclusion:It is significant to construct a preferable predicted model, which can make clinician intuitively and effectively judge early prognosis.choose appropriate treatment to lower death rate, improve quality of life.