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A model for screening, grading, and progression measurement in keratoconus

Poster Details

First Author: A.Daxer AUSTRIA

Co Author(s):                        

Abstract Details


To propose a model which allows screening, grading and evaluation of progression of keratoconus based on easily available corneal data from patient examination


GutSehen Eye Center and Medical University of Innsbruck, Austria


A number of 324 eyes diagnosed of suffering from keratoconus and 150 normal eyes without keratoconus were analysed. A mathematical model developed for analysing corneal data to detect keratoconus was applied. The input data were the simulated keratometry values (SIM K1, SIM K2), keratometry at the steepest point (Kmax) and corneal thickness at the thinnest point. The output is a value f6 which was analysed with respect to its potential for detecting and grading of keratoconus as well as for measuring progression of the disease.


The output value f6 ranged between 0.26 and 4.97 in normal eyes and between 0.57 and 197.83 in keratoconus. A threshold value of 2 for f6 yields a sensitivity of 90% to detect keratoconus and 10% false negative results. The sensitivity can be improved to almost 100% with almost no false negative results when considering also a best corrected visual acuity of 0.8 or less. Eyes with f6 of less than 1 are 97% normal and those with more than 5 are 100% keratoconic. The value f6 correlates with the severity of the disease.


The model combines three easily obtainable corneal examination data in a particular way to calculate an outout value f6 which shows a high sensitivity to detect eyes suffering from keratoconus. Since the output value f6 of the model is also correlated with the severity of the disease in eyes suffering from keratoconus it may be useful in detecting progression. In order to find out which amount of increase of f6 is significant for detecting progression, further studies are needed.

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