| Other Abstract | Part1Constructionofcerebrovasculardiseases’imagingdatabank
Aim:Constructionandapplicationofcerebrovasculardiseases’imagingdatabank,inordertoofferapreferableplatformforregistrystudy.
Methods:Establishsearchingfieldsofcerebrovasculardiseases’imagingdatabankbyfindingoutSituationofStudy,Clinicalfeatures,imagingfeaturesofcerebrovasculardisease;initiateWindowsXPoperatingfloor,enterintoAccess2003thenconstructdatabankwhichincludestable,query,forms,reportformsetc.
Result:Constructacerebrovasculardiseases’imagingdatabankwhichpossessesfunctionsofmemory,data’sinputandoutput,retrieval,statisticalanalysisetc.
Conclusion:Cerebrovasculardiseases’imagingdatabankmayplayanirreplaceableroleofclinicalstudy,managingdata,education,clinicalexperience.
Keywords:Cerebrovasculardisease;image;databank;Access；
Part2AnalysisofregressionofSpontaneouscerebralhemorrhageinbasalganglia.
Aim:StudyprognosticfactorsofSpontaneouscerebralhemorrhageinbasalgangliainimagingpointofview.
Methods:CollectcasesofSpontaneouscerebralhemorrhageinbasalgangliafromCerebrovasculardiseases’imagingdatabank,datefromJan,1st,2007to,Jan,1st,2010,Recordimagingfeaturesandmedicaltreatmentofthesecasesindetail,thentrackthem30daysandoutcome.Screenvariablesandclearupthesedatum,choosesubtypeofprognosisafterxdays’cerebralhemorrhageasdependentvariable(Y),chooseprognosticfactorsasindependentvariable（X1--Xm），usestatisticalsoftwareSPSS13.0,dividestatisticdatumintotwotypesbyqualitativevariableandquantitativevariable.Itusefrequencyofpopulationtorepresentcategoricalvariable(chi-squaretest),anduseMeanRanktorepresentnumericalvariable(Ranksumtest),analysispossibleprognosticfactorsbythemethodofOne-wayanalysisofvariance,thenfindindexwhichrelatedtoafterxdays’prognosistomulti-factorunconditionedLogisticanalyseregressively,obtainregressiveequationandscreenoutindependentprognosticfactorsbylikelihoodratiotestmethods.
Result:thestudycollectsandLogisticregressivelyanalysespossibleprognosticfactorsaffectafter30days’Spontaneouscerebralhemorrhageinbasalganglia,screenoutindependentprognosticfactorstoabtainregressiveequationthenconstructpredictedmodel,soastoofferanfavourablemethodstojudgeearlyprognosticfactorsandtreatmentofSpontaneouscerebralhemorrhageinbasalganglia.
Conclusion:Itissignificanttoconstructapreferablepredictedmodel,whichcanmakeclinicianintuitivelyandeffectivelyjudgeearlyprognosis,chooseappropriatetreatmenttolowerdeathrate,improvequalityoflife. |
