Validation of a Deep Learning-Assisted Evaluation of Total Corneal Endothelial Cells Viability.

ABSTRACT:

Purpose

To describe the validation of a novel automated analysis of preoperative pan-corneal endothelial cell viability.

Methods

Preclinical experimental study. Dead endothelial cells and denuded areas of Descemet membrane of corneoscleral rims were stained with trypan blue (TB) 0.05%. Endothelial mortality was estimated by an experienced eye bank technician ("gold standard") and by deep learning-aided automated segmentation of TB-positive areas (TBPAs) on images of the stained corneas ("V-CHECK method"). V-CHECK mortality was calculated for the whole cornea and for concentric 2-mm rings. The agreement in the estimation of endothelial mortality between the two methods was assessed with Bland-Altman analysis and correlation tests.

Results

Nineteen corneas deemed unsuit

SUBMITTER: Airaldi M 

PROVIDER: S-EPMC12442935 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature