Posters

A new model for detecting and grading keratoconus

Poster Details

First Author: A.Daxer AUSTRIA

Co Author(s):                        

Abstract Details

Purpose:

The right detection of keratoconus is of particular importance for refractive surgery in order to avoid treatment of weakened corneas and consequently serious complications such as post-LASIK keratectasia. It is the intention of this study to present an effective model for the detection and grading of keratoconus.

Setting:

Private practice and University Hospital

Methods:

A new corneal model based on the imput data central K-reading (SIMK1, SIMK2), maximum K-reading (Kmax), corneal thickness at the thinnest point (ct) and best spectacle corrected distance visual acuity (UDVA) was applied to 300 identified keratocic eyes and 300 normal controls. The normal controls were qualified as eligible for refractive laser surgery. The model provides a single non-integer figure Z ranging between 0 and 5 as output. The specifity and sensitivity of the model for detecting keratoconus was evaluated.

Results:

The specifity to distiguish between keratoconus and normal controls by the presented corneal model was 98%. The sensitivity was 97%. Z-values smaller than 0.5 are qualified as 100% normal while Z-values above 1.0 as 100% characteristic for keratoconus and allow grading of the disease. The higher the value the more advanced the disease. Eyes showing Z-values between 0.5 and 1.0 are qualified as keratoconus suspects. Z-values

Conclusions:

The present model is quick and easy to apply. It is based on input data which are easily available for both, normal and keratoconic eyes. The model shows a high specifity and high sensitivity for the detection of keratoconus and allows a grading of the diesease.

Financial Disclosure:

None