Skip navigation
  •  Inicio
  • UDC 
    • Cómo depositar
    • Políticas do RUC
    • FAQ
    • Dereitos de Autor
    • Máis información en INFOguías UDC
  • Percorrer 
    • Comunidades
    • Buscar por:
    • Data de publicación
    • Autor
    • Título
    • Materia
  • Axuda
    • español
    • Gallegan
    • English
  • Acceder
  •  Galego 
    • Español
    • Galego
    • English
  
Ver ítem 
  •   RUC
  • Facultade de Informática
  • Investigación (FIC)
  • Ver ítem
  •   RUC
  • Facultade de Informática
  • Investigación (FIC)
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia

Thumbnail
Ver/abrir
Gende_Mateo_2024_Circumpapillary_OCT_based_retinal_glaucoma_myopia.pdf (2.872Mb)
Use este enlace para citar
http://hdl.handle.net/2183/40422
Atribución-NoComercial 3.0 España
A non ser que se indique outra cousa, a licenza do ítem descríbese como Atribución-NoComercial 3.0 España
Coleccións
  • Investigación (FIC) [1685]
Metadatos
Mostrar o rexistro completo do ítem
Título
Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia
Autor(es)
Gende, M.
Moura, Joaquim de
Robles, Patricia
Fernández-Vigo, José Ignacio
Martínez-de-la-Casa, José María
García-Feijóo, Julián
Novo Buján, Jorge
Ortega Hortas, Marcos
Data
2024-11-19
Cita bibliográfica
M. Gende et al., «Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia», Computerized Medical Imaging and Graphics, vol. 118, p. 102464, dic. 2024, doi: 10.1016/j.compmedimag.2024.102464.
Resumo
[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 µm, p < 0.05, nasal inferior (13.1 µm, p < 0.01) and temporal inferior (13.3 µm, 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.
Palabras chave
Glaucoma
Myopia
Deep learning
Segmentation
Computer-aided diagnosis
Ophthalmology
 
Versión do editor
https://doi.org/10.1016/j.compmedimag.2024.102464
Dereitos
Atribución-NoComercial 3.0 España
ISSN
1879-0771
0895-6111
 

Listar

Todo RUCComunidades e colecciónsPor data de publicaciónAutoresTítulosMateriasGrupo de InvestigaciónTitulaciónEsta colecciónPor data de publicaciónAutoresTítulosMateriasGrupo de InvestigaciónTitulación

A miña conta

AccederRexistro

Estatísticas

Ver Estatísticas de uso
Sherpa
OpenArchives
OAIster
Scholar Google
UNIVERSIDADE DA CORUÑA. Servizo de Biblioteca.    DSpace Software Copyright © 2002-2013 Duraspace - Suxestións