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.

Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning

Thumbnail
Ver/abrir
FernandezVigo_JoseIgnacio_2024_Comparative_study_glistening_4_intraocular_lens_models.pdf - Accepted Manuscript (322.9Kb)
Use este enlace para citar
http://hdl.handle.net/2183/36499
Coleccións
  • Investigación (FIC) [1678]
Metadatos
Mostrar o rexistro completo do ítem
Título
Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning
Autor(es)
Fernández-Vigo, José Ignacio
Macarro-Merino, Ana
Moura, Joaquim de
Álvarez-Rodríguez, Lorena
Burgos-Blasco, Barbara
Novo Buján, Jorge
Ortega Hortas, Marcos
Fernández-Vigo, José A.
Data
2024-01
Cita bibliográfica
Fernández-Vigo, José Ignacio; Macarro-Merino, Ana; De Moura-Ramos, Jose Joaquim; Alvarez-Rodriguez, Lorena; Burgos-Blasco, Barbara; Novo-Bujan, Jorge; Ortega-Hortas, Marcos; Fernández-Vigo, José Ángel. Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning. Journal of Cataract & Refractive Surgery 50(1):p 37-42, January 2024. | DOI: 10.1097/j.jcrs.0000000000001316
Resumo
Purpose: To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL). Setting: Centro Internacional de Oftalmología Avanzada (Madrid, Spain). Design: Cross-sectional study. Methods: 325 eyes were assessed for the presence and severity of glistening in 4 IOL models: ReSTOR+3 SN6AD1 (n = 41), SN60WF (n = 110), PanOptix TFNT (n = 128) and Vivity DFT015 (n = 46). The presence of glistening was analyzed using OCT, identifying the presence of hyperreflective foci (HRF) in the central area of the IOL. A manual and an original DL-based quantification algorithm designed for this purpose was applied. Results: Glistening was detected in 22 (53.7%) ReSTOR SN6AD1, 44 (40%) SN60WF, 49 (38.3%) PanOptix TFNT, and 4 (8.7%) Vivity DFT015 IOLs, when any grade was considered. In the comparison of the different types of IOLs, global glistening measured as total HRF was 17.3 ± 25.9 for the ReSTOR+3; 9.3 ± 15.7 for the SN60WF; 6.9 ± 10.5 for the PanOptix; and 1.2 ± 2.6 for the Vivity (P < .05). There was excellent agreement between manual and DL-based quantification (≥0.829). Conclusions: It is possible to quantify, classify and compare the glistening severity in different IOL models using OCT images in a simple and objective manner with a DL algorithm. In the comparative study, the Vivity presented the lowest severity of glistening.
Palabras chave
Glistening
Intraocular lens
Opacification
Optical coherence tomography
Deep learning
Acrysof
 
Versión do editor
https://doi.org/10.1097/j.jcrs.0000000000001316
Dereitos
Copyright © 2024, Copyright © 2023 Published by Wolters Kluwer on behalf of ASCRS and ESCRS
ISSN
0886-3350
1873-4502
 

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