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Cornea. 2012 Mar;31(3):253-8. doi: 10.1097/ICO.0B013E31823D1EE0.

Correlation of corneal elevation with severity of keratoconus by means of anterior and posterior topographic analysis.

Author information

1
Department of Ophthalmology, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan. rishii-sin@umin.ac.jp

Abstract

PURPOSE:

To investigate the severity of keratoconus in terms of corneal elevation differences with 2 different reference surfaces using topographic analysis.

METHODS:

Eighty-six eyes of 50 patients with keratoconus of various clinical stages (61 male and 25 female eyes) with mean age of 37.3 ± 11.6 years were evaluated. Anterior and posterior corneal elevations were measured using topographic analysis (using a rotating Scheimpflug camera), and the imaging data were analyzed to estimate elevation differences as differential values from conventional best-fit-sphere and enhanced best-fit-sphere (exclusion of a 4-mm-diameter area from the most thinned cornea). The data correlated with the keratoconus severity index and Amsler-Krumeich classification of keratoconus.

RESULTS:

There was a significant positive correlation between elevation differences and keratoconus severity index in both anterior and posterior surfaces (Pearson correlation coefficient, r = 0.66; P < 0.001; r = 0.74; P < 0.001). Cases of larger elevation differences in the anterior and posterior corneal surfaces were staged higher in Amsler-Krumeich classification (1-way analysis of variance, P = 0.040; P < 0.001). Cases of lower staging in the Amsler-Krumeich classification had a larger area under the receiver operating characteristic curve in the posterior elevation differences than in the anterior elevation differences, suggesting a greater diagnostic value of the posterior elevation measurement.

CONCLUSIONS:

Anterior and posterior corneal surface height data obtained by elevation-based tomography provide useful information in improving keratoconus diagnostic accuracy and in grading the severity of keratoconus.

PMID:
22316650
DOI:
10.1097/ICO.0B013E31823D1EE0
[Indexed for MEDLINE]

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