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Keratoconus Detection Based on a New Corneal Volumetric Analysis
There are numerous tomographic indices for the detection of keratoconus risk. When the indexes based on corneal volume are analyzed, two problems are presented: on the one hand, they are not very sensitive to the detection of incipient cases of keratoconus because they are not locally defined in the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696512/ https://www.ncbi.nlm.nih.gov/pubmed/29158547 http://dx.doi.org/10.1038/s41598-017-16145-3 |
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author | Cavas-Martínez, Francisco Bataille, Laurent Fernández-Pacheco, Daniel G. Cañavate, Francisco J. F. Alio, Jorge L. |
author_facet | Cavas-Martínez, Francisco Bataille, Laurent Fernández-Pacheco, Daniel G. Cañavate, Francisco J. F. Alio, Jorge L. |
author_sort | Cavas-Martínez, Francisco |
collection | PubMed |
description | There are numerous tomographic indices for the detection of keratoconus risk. When the indexes based on corneal volume are analyzed, two problems are presented: on the one hand, they are not very sensitive to the detection of incipient cases of keratoconus because they are not locally defined in the primary developmental region of the structural abnormalities; and on the other hand, they do not register the geometric decompensation driven by the asymmetry present during the disease progression. This work performed a morphogeometric modeling of the cornea by the aid of CAD tools and using raw topographic data (Sirius system, CSO, Firenze). For this method, four singular points present on the corneal surfaces were located and the following parameters based on corneal volume were calculated: VOL(mct), defined by the points of minimal thickness; VOL(aap), defined by the anterior corneal apex, and VOL(pap), defined by the posterior corneal apex. The results demonstrate that a further reduction of corneal volume in keratoconus happens and significantly progresses along the disease severity level. The combination of optical and volumetric data, that collect the sensitivity of the asymmetry generated by the disease, allows an accurate detection of incipient cases and follow up of the disease progression. |
format | Online Article Text |
id | pubmed-5696512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56965122017-11-29 Keratoconus Detection Based on a New Corneal Volumetric Analysis Cavas-Martínez, Francisco Bataille, Laurent Fernández-Pacheco, Daniel G. Cañavate, Francisco J. F. Alio, Jorge L. Sci Rep Article There are numerous tomographic indices for the detection of keratoconus risk. When the indexes based on corneal volume are analyzed, two problems are presented: on the one hand, they are not very sensitive to the detection of incipient cases of keratoconus because they are not locally defined in the primary developmental region of the structural abnormalities; and on the other hand, they do not register the geometric decompensation driven by the asymmetry present during the disease progression. This work performed a morphogeometric modeling of the cornea by the aid of CAD tools and using raw topographic data (Sirius system, CSO, Firenze). For this method, four singular points present on the corneal surfaces were located and the following parameters based on corneal volume were calculated: VOL(mct), defined by the points of minimal thickness; VOL(aap), defined by the anterior corneal apex, and VOL(pap), defined by the posterior corneal apex. The results demonstrate that a further reduction of corneal volume in keratoconus happens and significantly progresses along the disease severity level. The combination of optical and volumetric data, that collect the sensitivity of the asymmetry generated by the disease, allows an accurate detection of incipient cases and follow up of the disease progression. Nature Publishing Group UK 2017-11-20 /pmc/articles/PMC5696512/ /pubmed/29158547 http://dx.doi.org/10.1038/s41598-017-16145-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cavas-Martínez, Francisco Bataille, Laurent Fernández-Pacheco, Daniel G. Cañavate, Francisco J. F. Alio, Jorge L. Keratoconus Detection Based on a New Corneal Volumetric Analysis |
title | Keratoconus Detection Based on a New Corneal Volumetric Analysis |
title_full | Keratoconus Detection Based on a New Corneal Volumetric Analysis |
title_fullStr | Keratoconus Detection Based on a New Corneal Volumetric Analysis |
title_full_unstemmed | Keratoconus Detection Based on a New Corneal Volumetric Analysis |
title_short | Keratoconus Detection Based on a New Corneal Volumetric Analysis |
title_sort | keratoconus detection based on a new corneal volumetric analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696512/ https://www.ncbi.nlm.nih.gov/pubmed/29158547 http://dx.doi.org/10.1038/s41598-017-16145-3 |
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