Assessing progression of keratoconus: novel tomographic determinants

Area of Science:

• Ophthalmology
• Corneal Imaging
• Refractive Surgery

Background:

• Keratoconus progression lacks a clear definition, hindering early detection and management.
• Current methods for evaluating keratoconus progression are inconsistent.
• Advances in corneal tomography offer potential for more precise assessment.

Purpose of the Study:

• To establish reliable quantitative determinants for detecting ectatic progression in keratoconus.
• To assess the precision of key tomographic parameters for monitoring disease advancement.
• To validate the utility of modern corneal tomography software in identifying early ectatic changes.

Main Methods:

• Utilized modern corneal tomography, including anterior/posterior elevation and pachymetric data.
• Employed software like Enhanced Reference Surface and Belin-Ambrosio Enhanced Ectasia Display (BAD).
• Assessed normal noise measurements for thinnest point corneal thickness, anterior radius of curvature (ARC), and posterior radius of curvature (PRC) in 5 normal patients over 3 days with 3 technicians.

Main Results:

• Small 95% and 80% one-sided confidence intervals were found for key parameters: 7.88/4.03 μm for corneal thickness, 0.024/0.012 mm for ARC, and 0.083/0.042 mm for PRC.
• These narrow intervals suggest high precision for these measurements.
• Modern tomography and BAD software effectively detect early ectatic changes.

Conclusions:

• Quantitative tomographic parameters demonstrate high precision and potential as reliable determinants for ectasia progression.
• Modern corneal tomography and analysis software can significantly aid in the early detection of keratoconus progression.
• Further validation of these parameters is warranted for clinical application in monitoring keratoconus.