Association between visual field damage and corneal structural parameters

Abstract The main goal of this study is to identify the association between corneal shape, elevation, and thickness parameters and visual field damage using machine learning. A total of 676 eyes from 568 patients from the Jichi Medical University in Japan were included in this study. Corneal topogra...

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Autores principales:	Alexandru Lavric, Valentin Popa, Hidenori Takahashi, Rossen M. Hazarbassanov, Siamak Yousefi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/29933f33b9be4c068a6159f11e31830b
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spelling	oai:doaj.org-article:29933f33b9be4c068a6159f11e31830b2021-12-02T15:49:43ZAssociation between visual field damage and corneal structural parameters10.1038/s41598-021-90298-02045-2322https://doaj.org/article/29933f33b9be4c068a6159f11e31830b2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90298-0https://doaj.org/toc/2045-2322Abstract The main goal of this study is to identify the association between corneal shape, elevation, and thickness parameters and visual field damage using machine learning. A total of 676 eyes from 568 patients from the Jichi Medical University in Japan were included in this study. Corneal topography, pachymetry, and elevation images were obtained using anterior segment optical coherence tomography (OCT) and visual field tests were collected using standard automated perimetry with 24-2 Swedish Interactive Threshold Algorithm. The association between corneal structural parameters and visual field damage was investigated using machine learning and evaluated through tenfold cross-validation of the area under the receiver operating characteristic curves (AUC). The average mean deviation was − 8.0 dB and the average central corneal thickness (CCT) was 513.1 µm. Using ensemble machine learning bagged trees classifiers, we detected visual field abnormality from corneal parameters with an AUC of 0.83. Using a tree-based machine learning classifier, we detected four visual field severity levels from corneal parameters with an AUC of 0.74. Although CCT and corneal hysteresis have long been accepted as predictors of glaucoma development and future visual field loss, corneal shape and elevation parameters may also predict glaucoma-induced visual functional loss.Alexandru LavricValentin PopaHidenori TakahashiRossen M. HazarbassanovSiamak YousefiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alexandru Lavric Valentin Popa Hidenori Takahashi Rossen M. Hazarbassanov Siamak Yousefi Association between visual field damage and corneal structural parameters
description	Abstract The main goal of this study is to identify the association between corneal shape, elevation, and thickness parameters and visual field damage using machine learning. A total of 676 eyes from 568 patients from the Jichi Medical University in Japan were included in this study. Corneal topography, pachymetry, and elevation images were obtained using anterior segment optical coherence tomography (OCT) and visual field tests were collected using standard automated perimetry with 24-2 Swedish Interactive Threshold Algorithm. The association between corneal structural parameters and visual field damage was investigated using machine learning and evaluated through tenfold cross-validation of the area under the receiver operating characteristic curves (AUC). The average mean deviation was − 8.0 dB and the average central corneal thickness (CCT) was 513.1 µm. Using ensemble machine learning bagged trees classifiers, we detected visual field abnormality from corneal parameters with an AUC of 0.83. Using a tree-based machine learning classifier, we detected four visual field severity levels from corneal parameters with an AUC of 0.74. Although CCT and corneal hysteresis have long been accepted as predictors of glaucoma development and future visual field loss, corneal shape and elevation parameters may also predict glaucoma-induced visual functional loss.
format	article
author	Alexandru Lavric Valentin Popa Hidenori Takahashi Rossen M. Hazarbassanov Siamak Yousefi
author_facet	Alexandru Lavric Valentin Popa Hidenori Takahashi Rossen M. Hazarbassanov Siamak Yousefi
author_sort	Alexandru Lavric
title	Association between visual field damage and corneal structural parameters
title_short	Association between visual field damage and corneal structural parameters
title_full	Association between visual field damage and corneal structural parameters
title_fullStr	Association between visual field damage and corneal structural parameters
title_full_unstemmed	Association between visual field damage and corneal structural parameters
title_sort	association between visual field damage and corneal structural parameters
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/29933f33b9be4c068a6159f11e31830b
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Association between visual field damage and corneal structural parameters

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