Back to Search Start Over

Corneal biomechanics in normal and subclinical keratoconus eyes

Authors :
Alireza Peyman
Fatemeh Sepahvand
Mohsen Pourazizi
Pegah Noorshargh
Ali Forouhari
Source :
BMC Ophthalmology, Vol 23, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background The diagnosis of keratoconus, as the most prevalent corneal ectatic disorder, at the subclinical stage gained great attention due to the increased acceptance of refractive surgeries. This study aimed to assess the pattern of the corneal biomechanical properties derived from Corneal Visualization Scheimpflug Technology (Corvis ST) and evaluate the diagnostic value of these parameters in distinguishing subclinical keratoconus (SKC) from normal eyes. Methods This prospective study was conducted on 73 SKC and 69 normal eyes. Subclinical keratoconus eyes were defined as corneas with no clinical evidence of keratoconus and suspicious topographic and tomographic features. Following a complete ophthalmic examination, topographic and tomographic corneal assessment via Pentacam HR, and corneal biomechanical evaluation utilizing Corvis ST were done. Results Subclinical keratoconus eyes presented significantly higher Deformation Amplitude (DA) ratio, Tomographic Biomechanical Index (TBI), and Corvis Biomechanical Index (CBI) rates than the control group. Conversely, Ambrósio Relational Thickness to the Horizontal profile (ARTh), and Stiffness Parameter at the first Applanation (SPA1) showed significantly lower rates in SKC eyes. In diagnosing SKC from normal eyes, TBI (AUC: 0.858, Cut-off value: > 0.33, Youden index: 0.55), ARTh (AUC: 0.813, Cut-off value: ≤ 488.1, Youden index: 0.58), and CBI (AUC: 0.804, Cut-off value: > 0.47, Youden index: 0.49) appeared as good indicators. Conclusions TBI, CBI, and ARTh parameters could be valuable in distinguishing SKC eyes from normal ones.

Details

Language :
English
ISSN :
14712415
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Ophthalmology
Publication Type :
Academic Journal
Accession number :
edsdoj.1171b13399b4033b5e43b8b15dae4c5
Document Type :
article
Full Text :
https://doi.org/10.1186/s12886-023-03215-6