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Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters
This study sought to develop a diagnostic model with aberrometry and biomechanical variables for subclinical keratoconus. The design was a cross-sectional study. The topographic data were obtained with a rotating Scheimpflug camera (Pentacam HR), and biomechanical data were obtained with Corvis ST....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269366/ https://www.ncbi.nlm.nih.gov/pubmed/34206580 http://dx.doi.org/10.3390/jcm10132746 |
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author | Pérez-Rueda, Antonio Jiménez-Rodríguez, Diana Castro-Luna, Gracia |
author_facet | Pérez-Rueda, Antonio Jiménez-Rodríguez, Diana Castro-Luna, Gracia |
author_sort | Pérez-Rueda, Antonio |
collection | PubMed |
description | This study sought to develop a diagnostic model with aberrometry and biomechanical variables for subclinical keratoconus. The design was a cross-sectional study. The topographic data were obtained with a rotating Scheimpflug camera (Pentacam HR), and biomechanical data were obtained with Corvis ST. The study included 81 eyes distributed in 61 healthy corneas and 20 subclinical keratoconus (SCKC), defined as eyes with suspicious topographic findings, normal slit-lamp examination, and a manifestation of keratoconus. Analyses of the topographic and biomechanical data were performed, and a classifying model of SCKC was elaborated. The model for the diagnosis of SCKC includes posterior coma to 90°, Ambrósio’s Relational Thickness in the horizontal profile (ARTh), and velocity when the air pulse is off (A2 velocity). The sensitivity was 89.5%, specificity 96.7%, accuracy 94.9%, and precision 89.5%. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve for the model was 0.951. Diagnosis of subclinical keratoconus depends on the aberrometry variable posterior coma to 90° and the biomechanical variables A2 velocity and ARTh. |
format | Online Article Text |
id | pubmed-8269366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82693662021-07-10 Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters Pérez-Rueda, Antonio Jiménez-Rodríguez, Diana Castro-Luna, Gracia J Clin Med Article This study sought to develop a diagnostic model with aberrometry and biomechanical variables for subclinical keratoconus. The design was a cross-sectional study. The topographic data were obtained with a rotating Scheimpflug camera (Pentacam HR), and biomechanical data were obtained with Corvis ST. The study included 81 eyes distributed in 61 healthy corneas and 20 subclinical keratoconus (SCKC), defined as eyes with suspicious topographic findings, normal slit-lamp examination, and a manifestation of keratoconus. Analyses of the topographic and biomechanical data were performed, and a classifying model of SCKC was elaborated. The model for the diagnosis of SCKC includes posterior coma to 90°, Ambrósio’s Relational Thickness in the horizontal profile (ARTh), and velocity when the air pulse is off (A2 velocity). The sensitivity was 89.5%, specificity 96.7%, accuracy 94.9%, and precision 89.5%. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve for the model was 0.951. Diagnosis of subclinical keratoconus depends on the aberrometry variable posterior coma to 90° and the biomechanical variables A2 velocity and ARTh. MDPI 2021-06-22 /pmc/articles/PMC8269366/ /pubmed/34206580 http://dx.doi.org/10.3390/jcm10132746 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pérez-Rueda, Antonio Jiménez-Rodríguez, Diana Castro-Luna, Gracia Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters |
title | Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters |
title_full | Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters |
title_fullStr | Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters |
title_full_unstemmed | Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters |
title_short | Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters |
title_sort | diagnosis of subclinical keratoconus with a combined model of biomechanical and topographic parameters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269366/ https://www.ncbi.nlm.nih.gov/pubmed/34206580 http://dx.doi.org/10.3390/jcm10132746 |
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