Correlation between corneal dynamic responses and keratoconus topographic parameters.
J Int Med Res
; 50(6): 3000605221108100, 2022 Jun.
Article
en En
| MEDLINE
| ID: mdl-35766023
ABSTRACT
OBJECTIVE:
To investigate the correlation between corneal biomechanical properties and topographic parameters using machine learning networks for automatic severity diagnosis and reference benchmark construction.METHODS:
This was a retrospective study involving 31 eyes from 31 patients with keratonus. Two clustering approaches were used (i.e., shape-based and feature-based). The shape-based method used a keratoconus benchmark validated for indicating the severity of keratoconus. The feature-based method extracted imperative features for clustering analysis.RESULTS:
There were strong correlations between the symmetric modes and the keratoconus severity and between the asymmetric modes and the location of the weak centroid. The Pearson product-moment correlation coefficient (PPMC) between the symmetric mode and normality was 0.92 and between the asymmetric mode and the weak centroid value was 0.75.CONCLUSION:
This study confirmed that there is a relationship between the keratoconus signs obtained from topography and the corneal dynamic behaviour captured by the Corvis ST device. Further studies are required to gather more patient data to establish a more extensive database for validation.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Queratocono
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
Límite:
Humans
Idioma:
En
Revista:
J Int Med Res
Año:
2022
Tipo del documento:
Article