Automated Detection of the Stromal Demarcation Line Using Optical Coherence Tomography in Keratoconus Eyes After Corneal Cross-linking
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24 janvier 2025
- 10938/31871
- 30529566.0
- 2-s2.0-85059362052
Ce document est lié à :
American Journal of Ophthalmology
Mots-clés
Adult Collagen Corneal stroma Corneal topography Cross-linking reagents Female Humans Image processing, computer-assisted Keratoconus Male Photochemotherapy Photosensitizing agents Prospective studies Reproducibility of results Riboflavin Tomography, optical coherence Ultraviolet rays Young adult Cross linking reagent Photosensitizing agent Article Clinical article Clinical evaluation Cornea thickness Diagnostic accuracy Human Image analysis Measurement repeatability Minimally invasive procedure Optical coherence tomography Priority journal Reproducibility Stromal demarcation line Visual system parameters Comparative study Cornea stroma Diagnostic imaging Image processing Keratometry Metabolism Procedures Prospective study Ultraviolet radiationSujets proches
Eyes Eyeball Visual systemCiter ce document
Awwad et al., « Automated Detection of the Stromal Demarcation Line Using Optical Coherence Tomography in Keratoconus Eyes After Corneal Cross-linking », American University of Beirut ScholarWorks
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Résumé
Purpose: To evaluate the role of a novel automated detection software as compared to human operators in assessing the presence and depth of stromal demarcation line on optical coherence tomography (OCT) in keratoconus eyes post cross-linking. Design: Reliability analysis study. Methods: Two independent operators and an automated detection software examined corneal OCTs of 25 eyes of 25 patients post corneal cross-linking using the Dresden protocol, at 3 months postoperatively. Operators evaluated the presence of the demarcation line and measured its depth by looking at OCT images (128 cuts) on 2 separate occasions 1 week apart. The automated software examined all 128 cuts of each OCT measurement. Results: The mean corneal demarcation line depth was 321.54 ± 47.71, 322.86 ± 45.77, and 309.21 ± 40.98 μm, as computed by the automated detection software and the human operators, respectively. The intraclass correlation coefficients (ICC) between the automated detection software and Observers #1 and #2 were 0.884 and 0.847, respectively (P
