Validation of automated positive cell and region detection of immunohistochemically stained laryngeal tumor tissue using digital image analysis.

ABSTRACT:

Objectives

This study aimed to validate a digital image analysis (DIA) workflow for automatic positive cell detection and positive region delineation for immunohistochemical hypoxia markers with a nuclear (hypoxia-inducible factor 1α [HIF-1α]) and a cytoplasmic (pimonidazole [PIMO]) staining pattern.

Materials and methods

101 tissue fragments from 44 laryngeal tumor biopsies were immunohistochemically stained for HIF-1α and PIMO. QuPath was used to determine the percentage of positive cells and to delineate positive regions automatically. For HIF-1α, only cells with strong staining were considered positive. Three dedicated head and neck pathologists scored the percentage of positive cells using three categories (0: <1%; 1: 1%-33%; 2: >33%;). The pathologists also delineated

SUBMITTER: Smits HJG 

PROVIDER: S-EPMC9930147 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature