Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy.

ABSTRACT:

Purpose

To compare macular damage in glaucomatous optic neuropathy (GON) and compressive optic neuropathy (CON) and assess its diagnostic accuracy in distinguishing between diseases.

Methods

Observational, cross-sectional, single-center study. Patients with GON, CON, and healthy controls were included according to the eligibility criteria. An automated spectral-domain optical coherence tomography (SD-OCT) algorithm was used to segment the circumpapilary retinal nerve fiber layer (cpRNFL) and macula. The layer thickness was measured in each sector according to the Early Treatment Diabetic Retinopathy Study and the 6-sector Garway-Heath-based grids. Data was compared across all study groups, and the significance level was set at 0.05.

Results

Seventy-five eyes of 75 par

SUBMITTER: Soares RM 

PROVIDER: S-EPMC10198839 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature