title: [Grading of urinary bladder tumors by automated microscopic image analysis].
abstract: Studies were undertaken on biopsies from urinary bladder papillomas and urothelial carcinomas of different grades (G1-G3) along with normal urinary bladder mucosa from a total of 145 patients. They were performed by use of automated microscopic image analysis (system Robotron A 6471; software AMBA/R) and resulted in making objective the tumor grading and lead to the detection of both papillomas and G1-carcinomas with high proliferating activity. In addition, we were able to separate the G2-carcinomas into two groups which probably show different biological behaviour. They cannot be discriminated by conventional morphological methods but their existence is consistent with clinical observations.
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002291:Carcinoma, Papillary / Q000473:pathology*; D002295:Carcinoma, Transitional Cell / Q000473:pathology*; D002467:Cell Nucleus / Q000473:pathology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D009092:Mucous Membrane / Q000033:anatomy & histology; D001743:Urinary Bladder / Q000033:anatomy & histology; D001749:Urinary Bladder Neoplasms / Q000473:pathology*
vernacular_title: Grading von Harnblasentumoren mittels automatischer Mikroskopbildanalyse.