Documentation scienceplus.abes.fr version Bêta

À propos de : Air-pulse corneal applanation signal curve parameters for the characterisation of keratoconus        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Air-pulse corneal applanation signal curve parameters for the characterisation of keratoconus
has manifestation of work
related by
Abstract
  • Aims. To test the use of parameters obtained from the ocular response analyser (ORA) to distinguish between normal and keratoconic eyes, to determine the severity of keratoconus (KC), and to evaluate changes after treatment with cross-linking (CXL) and intrastromal corneal ring (ICR) implantation. Methods. In total, 42 parameters were derived from the ORA's applanation response curve. Data on 119 subjects were included in the study. We determined the power of discrimination between control subjects (n=48) and KC patients (stages I and II, n=54) using receiver operating characteristic (ROC) curves. We then tested the correlation between all KC stages (n=71) and the ORA parameters. Finally, we evaluated the changes at 4 months after CXL (n=22) and ICR (n=39). Results. The ROC curves for 12 parameters showed excellent results; 24 parameters generated moderate results and six parameters generated poor results. The correlations between the KC stages and 14 parameters were significant, with good to moderate results. The corneal resistance factor and the area under the second peak of the signal curve produced the best results in distinguishing between normal and KC eyes. Two parameters after CXL (p2area and time1) and six parameters after ICR implantation (aplhf, uslope11, w11, path11, time1 and deltatime) showed significant differences with respect to the preoperative conditions. Conclusion. Most of the new waveform parameters demonstrated good ability to distinguish between KC and normal eyes. The changes in the parameter values after CXL and ICR treatments were smaller than expected.
article type
publisher identifier
  • bjophthalmol188300
is part of this journal
PubMed ID
  • 21310802



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata