Centre for Eye Health, University of New South Wales, Sydney, New South Wales, Australia.
School of Optometry and Vision Science, University of New South Wales, Sydney, New South Wales, Australia.
Ophthalmic Physiol Opt. 2024 Mar;44(2):457-471. doi: 10.1111/opo.13255. Epub 2023 Nov 22.
To describe variations in ganglion cell-inner plexiform layer (GCIPL) thickness in a healthy cohort from widefield optical coherence tomography (OCT) scans.
Widefield OCT scans spanning 55° × 45° were acquired from 470 healthy eyes. The GCIPL was automatically segmented using deep learning methods. Thickness measurements were extracted after correction for warpage and retinal tilt. Multiple linear regression analysis was applied to discern trends between global GCIPL thickness and age, axial length and sex. To further characterise age-related change, hierarchical and two-step cluster algorithms were applied to identify locations sharing similar ageing properties, and rates of change were quantified using regression analyses with data pooled by cluster analysis outcomes.
Declines in widefield GCIPL thickness with age, increasing axial length and female sex were observed (parameter estimates -0.053, -0.436 and -0.464, p-values <0.001, <0.001 and 0.02, respectively). Cluster analyses revealed concentric, slightly nasally displaced, horseshoe patterns of age-related change in the GCIPL, with up to four statistically distinct clusters outside the macula. Linear regression analyses revealed significant ageing decline in GCIPL thickness across all clusters, with faster rates of change observed at central locations when expressed as absolute (slope = -0.19 centrally vs. -0.04 to -0.12 peripherally) and percentage rates of change (slope = -0.001 centrally vs. -0.0005 peripherally).
Normative variations in GCIPL thickness from widefield OCT with age, axial length and sex were noted, highlighting factors worth considering in further developments. Widefield OCT has promising potential to facilitate quantitative detection of abnormal GCIPL outside standard fields of view.
描述广角光学相干断层扫描(OCT)图像中健康人群的神经节细胞-内丛状层(GCIPL)厚度的变化。
从 470 只健康眼中获取了 55°×45°的广角 OCT 扫描图像。使用深度学习方法自动对 GCIPL 进行分割。在纠正了变形和视网膜倾斜后,提取厚度测量值。应用多元线性回归分析来辨别 GCIPL 厚度与年龄、眼轴长度和性别之间的趋势。为了进一步描述与年龄相关的变化,应用分层和两步聚类算法来识别具有相似老化特性的位置,并使用回归分析来量化使用聚类分析结果进行数据汇总后的变化率。
观察到广角 GCIPL 厚度随年龄、眼轴长度增加和女性性别而下降(参数估计值分别为-0.053、-0.436 和-0.464,p 值均<0.001、<0.001 和 0.02)。聚类分析显示 GCIPL 存在与年龄相关的同心、轻度向鼻侧移位的马蹄形变化模式,在黄斑区外有多达四个统计学上不同的聚类。线性回归分析显示,所有聚类中 GCIPL 厚度均有显著的老化下降,当以绝对值(斜率为-0.19 位于中央,-0.04 至-0.12 位于周边)和百分比变化率(斜率为-0.001 位于中央,-0.0005 位于周边)表示时,中央位置的变化率更快。
观察到广角 OCT 中 GCIPL 厚度随年龄、眼轴长度和性别变化的正常值范围,这突出了在进一步发展中值得考虑的因素。广角 OCT 具有通过扩大视野来促进对异常 GCIPL 进行定量检测的潜力。