Sum variance—a most valuable parameter in computer‐assisted image analysis of voided urines

Abstract

The chromatin pattern of retrospectively Feulgen-Schiff-stained exfoliative urothelial cells was determined by computer-assisted analysis for 12 detailed texture image parameters. These were compared with density parameters and geometric parameters for their ability to discriminate between benign and malignant samples. The discriminatory power of the mean variable of the texture parameter sum variance was found to equal that of densitometric parameters which reflect the nuclear DNA content of the cell. The results suggest that determination of the texture parameter sum variance is valuable in distinguishing nuclei of specimens negative from those positive for malignancy.

Quick‐staining urinary cytology and bladder wash image analysis with an integrated risk classification

“…Any kind of therapy reduces sensitivity in routine cytology. 15 The same has to be said for quickstaining cytology comparing the present findings with previously published data on the cytologic detection of mainly primary bladder cancer. 17 In contrast, the specificity was not influenced by any preceding therapy.…”

Quick-staining urinary cytology and bladder wash image analysis with an integrated risk classification

“…Any kind of therapy reduces sensitivity in routine cytology. 15 The same has to be said for quickstaining cytology comparing the present findings with previously published data on the cytologic detection of mainly primary bladder cancer. 17 In contrast, the specificity was not influenced by any preceding therapy.…”

“…Two of the cytospin preparations were wet fixed, and one of these entered a Feulgen staining protocol. 15,16 The second glass slide entered routine cytology procedure. Cytologic description was available for all specimens but was not used in this study.…”

“…Depending on the material under investigation, previous studies gave some of these geometric and texture parameters a diagnostic value comparable to that of integrated optical density. 14,15 Taking part of these findings into consideration, the linked use of one parameter describing the DNA histogram and one parameter describing a nuclear geometric feature led to a system with an automated classification of the bladder washings under investigation. 16 Consequently, the second objective of the study was to elucidate the diagnostic and clinical value of this special image analysis alone and in combination with quick-staining urinary cytology.…”