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Evaluation of the Diagnostic Capability of Spectralis SD-OCT 8 × 8 Posterior Pole Software with the Grid Tilted at 7 Degrees and Horizontalized in Glaucoma.
Alvarez-Sarrion, Aurora; Garcia-Medina, Jose Javier; Palazon-Cabanes, Ana; Pinazo-Duran, Maria Dolores; Del-Rio-Vellosillo, Monica.
Afiliación
  • Alvarez-Sarrion A; Department of Ophthalmology and Optometry, University of Murcia, 30120 Murcia, Spain.
  • Garcia-Medina JJ; Department of Ophthalmology and Optometry, University of Murcia, 30120 Murcia, Spain.
  • Palazon-Cabanes A; Department of Ophthalmology, General University Hospital Morales Meseguer, 30008 Murcia, Spain.
  • Pinazo-Duran MD; Ophthalmic Research Unit "Santiago Grisolia", 28029 Valencia, Spain.
  • Del-Rio-Vellosillo M; Spanish Net of Inflammatory Diseases RICORS, Institute of Health Carlos III, 28029 Madrid, Spain.
J Clin Med ; 13(4)2024 Feb 09.
Article en En | MEDLINE | ID: mdl-38398328
ABSTRACT

Background:

The goal was to evaluate the diagnostic capability of different parameters obtained with the posterior pole (PP) software in Spectralis SD-OCT with the 8 × 8 grid tilted at 7° and horizontalized in glaucomatous eyes.

Methods:

A total of 299 eyes were included, comprising 136 healthy eyes and 163 with primary open-angle glaucoma (POAG). The following segmentations were evaluated complete retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), GCL and inner plexiform layer (GCLIPL), ganglion cell complex (GCC), outer plexiform layer and outer nuclear layer (OPLONL), inner retinal layer (IRL), and outer retinal layer (ORL). Different patterns of macular damage were represented using heatmaps for each studied layer, where the areas under the curve (AUROC) values and a retinal thickness cutoff point were defined to discriminate POAG patients.

Results:

There was not any difference in the diagnostic capability for detecting glaucoma between the grid tilted at 7° and horizontalized. The macular segmentations that offer the highest diagnostic ability in glaucoma discrimination were, in the following order, RNFL (AUROC = 0.796), GCC (AUROC = 0.785), GCL (AUROC = 0.784), GCLIPL (AUROC = 0.770), IRL (AUROC = 0.755), and the complete retina (AUROC = 0.752). In contrast, ORL and OPLONL do not appear to be helpful for discriminating POAG.

Conclusions:

Some results of PP software may be useful for discriminating POAG.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza