Corneal epithelial thickness profile in dry-eye disease.

Journal Article (Journal Article)

BACKGROUND/OBJECTIVES: To characterize and evaluate the use of corneal epithelial profile maps generated by an ultrahigh-resolution optical coherence tomography (UHR-OCT) in the diagnosis and management of dry-eye disease (DED). SUBJECTS/METHODS: This prospective, interventional case-control study included 115 eyes of 71 subjects (52 DED and 19 controls) imaged using an UHR-OCT. Average, maximum, and minimum, range of corneal epithelial thicknesses were extracted from epithelial profile maps. Surface regularity was quantified using the range and variance of the epithelial thickness measured along a horizontal UHR-OCT scan. The variance of thickness measurements along a scan was named epithelial irregularity factor (EIF). Symptoms of 31 DED patients (55 eyes) were quantified by questionnaire and correlated to epithelial profile findings, fluorescein staining, tear breakup time, and Schirmer's test. Twenty-one DED eyes were administered autologous serum drops and follow-up UHR-OCT images were captured. RESULTS: DED patients had a highly irregular corneal epithelial surface compared with controls. Epithelial thickness profile variance (EIF) and range were significantly higher in DED as compared with controls (5.79 vs. 0.77, p < 0.001 and 7.6 vs. 4.6 μm, p < 0.001). Both parameters were highly significantly correlated with questionnaire scores (EIF: r = 0.778; p < 0.001, range: r = 0.737; p < 0.001). Follow-up showed a statistically significant reduction in epithelial thickness profile variance and range of treated patients ( p < 0.001). CONCLUSIONS: DED patients have irregular epithelial surface that can be quantified using UHR-OCT generated CEP maps. Epithelial thickness profile range and EIF correlate accurately with patients' symptoms and could be used to follow-up patients and response to treatment.

Full Text

Duke Authors

Cited Authors

  • Abou Shousha, M; Wang, J; Kontadakis, G; Feuer, W; Canto, AP; Hoffmann, R; Perez, VL

Published Date

  • May 2020

Published In

Volume / Issue

  • 34 / 5

Start / End Page

  • 915 - 922

PubMed ID

  • 31576026

Pubmed Central ID

  • PMC7182579

Electronic International Standard Serial Number (EISSN)

  • 1476-5454

Digital Object Identifier (DOI)

  • 10.1038/s41433-019-0592-y

Language

  • eng

Conference Location

  • England