Shi Yue, Huang Jianyan, Baghdasaryan Elmira, Huang Ping, Huang Xiwen, Sadda Srinivas R, Lee Olivia L
Doheny Eye Institute, Los Angeles, CA, USA.
Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Transl Vis Sci Technol. 2019 May 29;8(3):23. doi: 10.1167/tvst.8.3.23. eCollection 2019 May.
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).
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/mm 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.
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 ( > 0.05), and no significant ECD difference among frames ( > 0.05) was found in any studied CV levels.
CV does not appear to be associated with ECD variance in the central cornea.
This finding highlights that in healthy corneas but with high CV values, ECD can be reliably analyzed using one single image of best quality.
本研究旨在评估单一最佳图像能否代表不同细胞大小变异系数(CV)的角膜中央内皮细胞密度(ECD)。
纳入401只健康眼睛,但CV值各异。对于每只眼睛,使用科南NSP - 9900镜面显微镜获取三张不重叠的中央角膜内皮图像。由两名独立分级者采用成熟的中心法评估ECD和CV。仅纳入两名分级者均评定为图像质量评分(IQR)高且ECD>800个细胞/mm²的角膜进行研究。研究样本分为五个CV水平(CV≤35;≥36;≥38;≥40;≥45)。在每个CV水平中,分析ECD一致性、ECD方差以及ECD变异与CV值之间的相关性。此外,除CV≤35水平外,还分析了所有水平的ECD分级者内重复性和帧间差异。
研究样本共包括278只眼睛。在任何研究的CV水平中,两名独立分级者的ECD一致性高(组内相关系数[ICC]>0.99),ECD分级者内重复性高(ICC>0.95),ECD方差低(总体为2.0%±1.6%),ECD变异与CV值之间无相关性(>0.05),且各帧之间ECD无显著差异(>0.05)。
CV似乎与中央角膜的ECD方差无关。
这一发现突出表明,在CV值高的健康角膜中,使用一张质量最佳的单一图像即可可靠地分析ECD。