Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

• DOI: 10.1007/s00417-022-05962-6
• Publication Date: 2023-01-10T10:03:17Z
• Authors: Ricardo Machado S...; Joana Figueiredo ...; Joana da Silva Fe...; Catarina Cunha Fe...; Lígia Ribeiro; Hélio Alves; Dália Meira
• Keywords: Optic nerve diseases

Abstract Purpose To compare macular damage in glaucomatous optic neuropathy (GON) and compressive (CON) assess its diagnostic accuracy distinguishing between diseases. Methods Observational, cross-sectional, single-center study. Patients with GON, CON, healthy controls were included according to the eligibility criteria. An automated spectral-domain optical coherence tomography (SD-OCT) algorithm was used segment circumpapilary retinal nerve fiber layer (cpRNFL) macula. The thickness measured each sector Early Treatment Diabetic Retinopathy Study 6-sector Garway-Heath-based grids. Data compared across all study groups, significance level set at 0.05. Results Seventy-five eyes of 75 participants, 25 (CG), included. Macular diminished ganglion cell complex GON CON patients CG ( p <0.05). best grid parameters for nasal-inferior (NI) nasal-superior sectors NI/temporal inferior (TI) ratios (mGCL) inner plexiform (IPL) layers. Moreover, combination NI NI/TI both layers had higher discriminative power (AUC 0.909; 95% CI 0.830–0.988; <0.001) than combining separately. Conclusion Our findings suggest that evaluation segmented by SD-OCT may be a helpful add-on tool differential diagnosis CON.