Literature DB >> 31576026

Corneal epithelial thickness profile in dry-eye disease.

Mohamed Abou Shousha1, Jianhua Wang1, George Kontadakis1, William Feuer1, Ana P Canto1, Rodrigo Hoffmann1, Victor L Perez2,3.   

Abstract

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.

Entities:  

Mesh:

Year:  2019        PMID: 31576026      PMCID: PMC7182579          DOI: 10.1038/s41433-019-0592-y

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  3 in total

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Authors:  J A Lucca; J N Nunez; R L Farris
Journal:  CLAO J       Date:  1990 Apr-Jun

Review 2.  Report of the National Eye Institute/Industry workshop on Clinical Trials in Dry Eyes.

Authors:  M A Lemp
Journal:  CLAO J       Date:  1995-10

Review 3.  Diagnosis of dry eye disease and emerging technologies.

Authors:  Maya Salomon-Ben Zeev; Darby Douglas Miller; Robert Latkany
Journal:  Clin Ophthalmol       Date:  2014-03-20
  3 in total
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3.  Conjunctivochalasis and Tear Osmolarity Are Associated With Reduced Conjunctival Epithelial Thickness in Dry Eye.

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5.  Comparison of Autonomous AS-OCT Deep Learning Algorithm and Clinical Dry Eye Tests in Diagnosis of Dry Eye Disease.

Authors:  Collin Chase; Amr Elsawy; Taher Eleiwa; Eyup Ozcan; Mohamed Tolba; Mohamed Abou Shousha
Journal:  Clin Ophthalmol       Date:  2021-10-21

6.  Corneal Epithelial Mapping Characteristics in Normal Eyes Using Anterior Segment Spectral Domain Optical Coherence Tomography.

Authors:  Mohammad Abusamak
Journal:  Transl Vis Sci Technol       Date:  2022-03-02       Impact factor: 3.283

  6 in total

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