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Sáenz Francés, Federico Jañez Escalada, Luis Berrozpe Villabona, Clara Borrego Sanz, Lara Morales Fernández, Laura Acebal Montero, Alejandra Méndez Hernández, Carmen Dora Martínez De La Casa Fernández-Borrella, José María Santos Bueso, Enrique Miguel García Sánchez, Julián García Feijoo, Julián 2023-06-19T15:07:44Z 2023-06-19T15:07:44Z 2015 Sáenz 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. 2090-004X 10.1155/2015/215951 https://hdl.handle.net/20.500.14352/35393 http://dx.doi.org/10.1155/2015/215951 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477440/ Purpose. 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. eng https://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España 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 article