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

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

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.

MeSH terms

  • Adult
  • Area Under Curve
  • Corneal Topography / methods*
  • Female
  • Humans
  • Keratoconus / diagnosis*
  • Keratoconus / pathology
  • Male
  • Middle Aged
  • ROC Curve
  • Sensitivity and Specificity
  • Severity of Illness Index