Comparison Of Automated Detection And Discrimination Of Keratoconus, Forme Fruste Keratoconus, And Normal Corneas Using Swept-Source Optical Coherence Tomography And Corneal Biomechanics Scoring Systems
Published 2023 - 41st Congress of the ESCRS
Reference: PP11.07 | Type: Free paper | DOI: 10.82333/entf-xx78
Authors: Maria Rizk* 1 , Sina Elahi 1 , Roxane Flamant 1 , Christophe Panthier 1 , Damien Gatinel 1 , Alain Saad 1
1Hopital Fondation Adolphe de Rothschild,Paris,France
Purpose
Compare two objective machine derived corneal parameters obtained with swept-source optical coherence tomography(SS-OCT) tomographer (Anterion, Heidelberg), and corneal biomechanics (Corvis ST, Oculus) to discriminate between healthy normal corneas (N), keratoconus (KC) and forme fruste keratoconus (FFKC).
Setting
Hopital Fondation Adolphe de Rothschild, Cornea Department.
Methods
This is a retrospective study including 89 eyes of 43 patients divided into three groups: Normal (N), Forme Fruste Keratoconus (FFKC) and Keratoconus (KC). Eyes were included in each group based on the objective evaluation of the Coneal Navigator OPD scan and validated by the subjective evaluation of the authors. The Anterion Score and the different Corvis scores (TBI, CBI, and BAD-D) were compared. The sensitivity and specificity of detection of each parameter were evaluated.
Results
The Anterion Score, TBI, CBI, and BAD-D detected KC and FFKC with a sensitivity of 89%, 87%, 91%, and 80% respectively and with a specificity of 94%, 92%, 93%, and 98% respectively.
Conclusions
Both the SS-OCT scoring system (Anterion) and the corneal biomechanics scores allow the automated detection of early KC and KC in an accurate and comparable way.