This function assesses pathology of specimens taken at surveillance per year. It outputs a plot which determines the the overall number of pathologies ( low/high grade dysplasia and cancer) for patients on surveillance
BarrettsPathDetectQual(dataframe, titlePlot)
dataframe | the dataframe |
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titlePlot | The plot title |
# Firstly relevant columns are extrapolated from the # Mypath demo dataset. These functions are all part of Histology data # cleaning as part of the package. v<-HistolDx(Mypath,'Diagnosis') v<-HistolExtrapolDx(v,'Diagnosis')#> Error in paste0("[Cc]arcin|[Cc]ance|[Ll]ymphoma|[Tt]umour|[Dd]yspla|G[Ii][Ss][Tt]|[Ss]tromal|[Ll]eio|[Cc]rohn", userString): argument "userString" is missing, with no defaultv<-HistolNumbOfBx(v,'Macroscopicdescription','specimen') v<-HistolBxSize(v,'Macroscopicdescription') # The histology is then merged with the Endoscopy dataset. The merge occurs # according to date and Hospital number v<-Endomerge2(Myendo,'Dateofprocedure','HospitalNumber',v,'Dateofprocedure', 'HospitalNumber') # The function relies on the other Barrett's functions being run as well: b1<-Barretts_PragueScore(v,'Findings') b2<-Barretts_PathStage(b1,'Histology') b3<-Barretts_EventType(b2,'Histology', 'ProcedurePerformed','Indications','Findings') # The follow-up group depends on the histology and the Prague score for a # patient so it takes the processed Barrett's data and then looks in the # Findings column for permutations of the Prague score. b4<-Barretts_FUType(b3,'Findings') colnames(b4)[colnames(b4) == 'pHospitalNum'] <- 'HospitalNumber' # The function simply the the histopathological grades overall for # your dataset and then creates a frequency plot of them ii<-BarrettsPathDetectQual(b4,'Myplot') rm(v)