Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia
Year: 2024
Type: article
Study design: Observational Study
Abstract: Glaucoma is the leading cause of irreversible blindness worldwide. The diagnosis process for glaucoma involves the measurement of the thickness of retinal layers in order to track its degeneration. The elongated shape of highly myopic eyes can hinder this diagnosis process, since it affects the OCT scanning process, producing deformations that can mimic or mask the degeneration caused by glaucoma. In this work, we present the first comprehensive cross-disease analysis that is focused on the anatomical structures most impacted in glaucoma and high myopia patients, facilitating precise differential diagnosis from those solely afflicted by myopia. To achieve this, a fully automatic approach for the retinal layer segmentation was specifically tailored for the accurate measurement of retinal thickness in both highly myopic and emmetropic eyes. To the best of our knowledge, this is the first approach proposed for the analysis of retinal layers in circumpapillary optical coherence tomography images that takes into account the elongation of the eyes in myopia, thus addressing critical diagnostic needs. The results from this study indicate that the temporal superior (mean difference 11 . 1 μ m , p < 0 . 05 ), nasal inferior ( 13 . 1 μ m , p < 0 . 01 ) and temporal inferior ( 13 . 3 μ m , p < 0 . 01 ) sectors of the retinal nerve fibre layer show the most significant reduction in retinal thickness in patients of glaucoma and myopia with regards to patients of myopia. • Comprehensive cross-disease study of retinal layers in glaucoma and myopia. • Retinal layer thickness was assessed in four patient groups across six sectors. • Significant differences between patients of glaucoma and myopia were identified. • We present a novel layer assessment methodology tailored for myopic and regular eyes. • First proposal to address axial elongation in circumpapillary OCT images for glaucoma.
Authors: Mateo Gende, Joaquim de Moura, Patricia Robles, Jose Fernández-Vigo, José M. Martínez-de-la-Casa, Julián García-Feijóo, Jorge Novo, Marcos Ortega
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $2,760
Awards: G1044294895, G1496055848, G2085528529, G22197165, G2702798117, G3543877848, G6216520340, G6392942385, Desarrollo y evaluación de un algoritmo de detección de glaucoma a partir de un abordaje multimodal en pacientes con miopía magna, Solicitud del Instituto de Investigación Biomédica de A Coruña (INIBIC) para el Programa FORTALECE
OpenAlex ID: W4404516675
