Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm.

ABSTRACT:

Purpose

To investigate the changes in meibomian gland (MG) structure in allergic conjunctivitis (AC) patients using an intelligent quantitative analysis algorithm and to explore the relationship between these changes and clinical parameters.

Methods

A total of 252 eyes from patients with AC and 200 eyes from normal controls were examined. Infrared meibography was performed using the non-contact mode of the Keratograph 5M. MG images were analyzed using a deep learning-based a quantitative analysis algorithm to evaluate gland length, area, dropout ratio, and deformation. Clinical parameters, including tear meniscus height, tear break up time (TBUT), conjunctival hyperemia, and Ocular Surface Disease Index (OSDI) scores, were assessed and correlated with changes in the structur

SUBMITTER: Wei J 

PROVIDER: S-EPMC11743466 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature