Computer-assisted scatter plot analysis of cell and nuclear areas distinguishes urothelial carcinoma in urine cytology specimens.

ABSTRACT:

Objective

Image analysis in urine cytology typically focuses on individual cells, particularly nuclear features. This study aimed to analyze non-tumor and urothelial carcinoma cases by examining scatter plots of cell or cell cluster areas and the maximum nuclear area within them.

Material and methods

The study included 192 cases: 52 negative and 140 positive. Whole slide images were generated using a virtual slide scanner, and image analysis was conducted with cytological analysis software. Scatter plots were created for cells/cell cluster areas and the largest connected nuclear areas (scatter plot for cells/cell cluster), as well as for nuclear area and perimeter (scatter plot for nucleus).

Results

In the scatter plot for the nucleus, significant differences were not

SUBMITTER: Hoshino C 

PROVIDER: S-EPMC11932948 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature