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Diagnostic value of fourier transfom analysis of videokeratographic data in diagnosis of keratoconus (KC) and forme fruste keratoconus (FFK)

Poster Details

First Author: H.Sideroudi GREECE

Co Author(s):    G. Labiris   K. Georgatzoglou   V. Kozobolis        

Abstract Details

Purpose:

To evaluate the contribution of Fourier Transfom analysis of Videokeratographic Data in diagnosis of Keratoconus (KC) and Forme Fruste Keratoconus (FFK).

Setting:

Eye Institute of Thrace, Democritus University, Alexandroupolis, Greece

Methods:

55 FFK eyes were identified by calculation of the KISA index and recruited FFK group. Results were compared with 95 normal eyes (CG group) randomly selected from 95 patients. The following parameters were evaluated for their diagnostic capacity by evaluation of their receiver operating curves (ROC): Sperical Component (SphRmin, SphEcc), Maximum Decentration (Max Dec), Regular Astigmatism (Ast. Center, Ast. Periph.), Mean Astigmatism (Mast), Irregularitiy, AstCenter+Irregularities (AstCir) and Total Astigmatism (Tast). Logistic regression was attempted for identification of a combined diagnostic model.

Results:

Significant differences were detected in SphEcc, MaxDec, Ast.Center, Ast.Periph, Mast and TAst parameters. Among parameters the highest predictive accuracy was for AstCir parameter (AUC: 97.6%, Sensitivity: 89.9%, Specificity: 99.9%) and MaxDec (AUC:91,4%, Sensitivity: 87.1% and Specificity: 81.8%). Sufficient predictive accuracy (AUC: 99.4%, Sensitivity: 100% and Specificity: 92%) was identified in a diagnostic model that combine the AstCir, and MaxDec parameters.

Conclusions:

Fourier Parameters seem to provide high accuracy in differentiating FFK from normal corneas and should be included in the prompt diagnosis of KC. FINANCIAL DISCLOUSRE: NONE

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