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....
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/10/13/2746 |
| _version_ | 1797529145052233728 |
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| author | Antonio Pérez-Rueda Diana Jiménez-Rodríguez Gracia Castro-Luna |
| author_facet | Antonio Pérez-Rueda Diana Jiménez-Rodríguez Gracia Castro-Luna |
| author_sort | Antonio Pérez-Rueda |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T10:09:34Z |
| format | Article |
| id | doaj.art-419717bfcfa94edb9d21678cbd5dbfb0 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T10:09:34Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-419717bfcfa94edb9d21678cbd5dbfb02023-11-22T01:14:53ZengMDPI AGJournal of Clinical Medicine2077-03832021-06-011013274610.3390/jcm10132746Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic ParametersAntonio Pérez-Rueda0Diana Jiménez-Rodríguez1Gracia Castro-Luna2Department of Ophthalmology, Torrecárdenas University Hospital, 04009 Almería, SpainDepartment of Nursing, Physiotherapy and Medicine, University of Almería, 04120 Almería, SpainDepartment of Nursing, Physiotherapy and Medicine, University of Almería, 04120 Almería, SpainThis 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.https://www.mdpi.com/2077-0383/10/13/2746subclinical keratoconustopographybiomechanicsCorvis ST |
| spellingShingle | Antonio Pérez-Rueda Diana Jiménez-Rodríguez Gracia Castro-Luna Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters Journal of Clinical Medicine subclinical keratoconus topography biomechanics Corvis ST |
| 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 | subclinical keratoconus topography biomechanics Corvis ST |
| url | https://www.mdpi.com/2077-0383/10/13/2746 |
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