Sáenz Francés, FedericoJañez Escalada, LuisBerrozpe Villabona, ClaraBorrego Sanz, LaraMorales Fernández, LauraAcebal Montero, AlejandraMéndez Hernández, Carmen D.Martínez De La Casa Fernández-Borrella, José MaríaSantos Bueso, Enrique MiguelGarcía Sánchez, JuliánGarcía Feijoo, Julián2023-06-192023-06-192015Sáenz Francés, F., Jañez Escalada, L., Berrozpe Villabona, C. et al. «Corneal Segmentation Analysis Increases Glaucoma Diagnostic Ability of Optic Nerve Head Examination, Heidelberg Retina Tomograph’s Moorfield’s Regression Analysis, and Glaucoma Probability Score». Journal of Ophthalmology, vol. 2015, 2015, pp. 1-8. DOI.org (Crossref), https://doi.org/10.1155/2015/215951.2090-004X10.1155/2015/215951https://hdl.handle.net/20.500.14352/35393Received 1 March 2015; Accepted 5 May 2015Purpose. To study whether a corneal thickness segmentation model, consisting in a central circular zone of 1 mm radius centered at the corneal apex (zone I) and five concentric rings of 1 mm width (moving outwards: zones II to VI), could boost the diagnostic accuracy of Heidelberg Retina Tomograph's (HRT's) MRA and GPS. Material and Methods. Cross-sectional study. 121 healthy volunteers and 125 patients with primary open-angle glaucoma. Six binary multivariate logistic regression models were constructed (MOD-A1, MOD-A2, MOD-B1, MOD-B2, MOD-C1, and MOD-C2). The dependent variable was the presence of glaucoma. In MOD-A1, the predictor was the result (presence of glaucoma) of the analysis of the stereophotography of the optic nerve head (ONH). In MOD-B1 and MOD-C1, the predictor was the result of the MRA and GPS, respectively. In MOD-B2 and MOD-C2, the predictors were the same along with corneal variables: central, overall, and zones I to VI thicknesses. This scheme was reproduced for model MOD-A2 (stereophotography along with corneal variables). Models were compared using the area under the receiver operator characteristic curve (AUC). Results. MOD-A1-AUC: 0.771; MOD-A2-AUC: 0.88; MOD-B1-AUC: 0.736; MOD-B2-AUC: 0.845; MOD-C1-AUC: 0.712; MOD-C2-AUC: 0.838. Conclusion. Corneal thickness variables enhance ONH assessment and HRT's MRA and GPS diagnostic capacity.engAtribución 3.0 EspañaCorneal Segmentation Analysis Increases Glaucoma Diagnostic Ability of Optic Nerve Head Examination, Heidelberg Retina Tomograph's Moorfield's Regression Analysis, and Glaucoma Probability Scorejournal articlehttp://dx.doi.org/10.1155/2015/215951https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477440/open access617.7-007.681617.749-07617.73-073GlaucomaOptic nerveOCTRetinal tomographyCorneal segmentationDiagnosisOftalmologíaTécnicas de la imagen3201.09 Oftalmología