Literature DB >> 31171990

Representation of Central Endothelial Cell Density by Analysis of Single Best Specular Microscopy Image Regardless of Cell Size Variance.

Yue Shi1,2, Jianyan Huang1,2, Elmira Baghdasaryan1,2, Ping Huang1,2, Xiwen Huang1, Srinivas R Sadda1,2, Olivia L Lee1,2.   

Abstract

PURPOSE: The purpose of this study is to evaluate whether a single best image can represent central endothelial cell density (ECD) in corneas of differing cell size coefficient of variance (CV).
METHODS: Four hundred one healthy eyes but with variant CV values were enrolled. For each eye, three nonoverlapping central cornea endothelium images were obtained with Konan NSP-9900 specular microscope. ECD and CV were evaluated by two independent graders using the well-established Center method. Only corneas with high image quality rating (IQR) and ECD >800 cell/mm2 by both graders were included in the study. The study sample was stratified into five CV levels (CV ≤ 35; ≥36; ≥38; ≥40; and ≥45). In each CV level, the ECD agreement, ECD variance, and the correlation between the ECD variation and CV values were analyzed. In addition, the ECD intragrader reproducibility and interframe differences were also analyzed for all levels except CV ≤ 35.
RESULTS: The study sample includes a total of 278 eyes. High ECD agreement for the two independent graders (intraclass correlation coefficient [ICC] > 0.99), high ECD intragrader reproducibility (ICC > 0.95), low ECD variance (2.0% ± 1.6%, overall), no correlation between the ECD variation and the CV value (P > 0.05), and no significant ECD difference among frames (P > 0.05) was found in any studied CV levels.
CONCLUSIONS: CV does not appear to be associated with ECD variance in the central cornea. TRANSLATIONAL RELEVANCE: This finding highlights that in healthy corneas but with high CV values, ECD can be reliably analyzed using one single image of best quality.

Entities:  

Keywords:  coefficient of variance in cell size; corneal endothelial cells density; polymegathism; specular microscopy

Year:  2019        PMID: 31171990      PMCID: PMC6543923          DOI: 10.1167/tvst.8.3.23

Source DB:  PubMed          Journal:  Transl Vis Sci Technol        ISSN: 2164-2591            Impact factor:   3.283


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