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Dataset Information

Detection of Corneal Ectasia Using OCT Maps of Pachymetry and Posterior Surface Mean Curvature.


ABSTRACT:

Purpose

To quantify the abnormal corneal thinning and posterior surface steepening that is observed in keratoconus with an Ectasia Index.

Methods

Optical coherence tomography (OCT) was used to image the corneas of normal individuals and patients with varying stages of keratoconus (manifest, subclinical, and forme fruste). Maps of corneal pachymetry and posterior surface mean curvature were generated, and an Ectasia Index was calculated by multiplying Gaussian fits obtained from the two types of maps. Repeated five-fold cross-validation was used to evaluate the ability of the Ectasia Index to differentiate between normal and keratoconic eyes. The classification performance of the Ectasia Index was compared to minimum pachymetry and maximum posterior mean curvature.

Results

SUBMITTER: Pavlatos E 

PROVIDER: S-EPMC10311947 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature