Department of Ophthalmology, University Hospital Bonn, University of Bonn, Ernst-Abbe-Straße 2, 53127, Bonn, Germany.
Life & Medical Sciences Institute, University of Bonn, Bonn, Germany.
Sci Rep. 2023 Oct 13;13(1):17417. doi: 10.1038/s41598-023-43417-y.
This study aimed to determine the retest variability of quantitative fundus autofluorescence (QAF) in patients with and without age-related macular degeneration (AMD) and evaluate the predictive value of patient reliability indices on retest reliability. A total of 132 eyes from 68 patients were examined, including healthy individuals and those with various stages of AMD. Duplicate QAF imaging was conducted at baseline and 2 weeks later across six study sites. Intraclass correlation (ICC) analysis was used to evaluate the consistency of imaging, and mean opinion scores (MOS) of image quality were generated by two researchers. The contribution of MOS and other factors to retest variation was assessed using mixed-effect linear models. Additionally, a Random Forest Regressor was trained to evaluate the extent to which manual image grading of image quality could be replaced by automated assessment (inferred MOS). The results showed that ICC values were high for all QAF images, with slightly lower values in AMD-affected eyes. The average inter-day ICC was found to be 0.77 for QAF segments within the QAF8 ring and 0.74 for peripheral segments. Image quality was predicted with a mean absolute error of 0.27 on a 5-point scale, and of all evaluated reliability indices, MOS/inferred MOS proved most important. The findings suggest that QAF allows for reliable testing of autofluorescence levels at the posterior pole in patients with AMD in a multicenter, multioperator setting. Patient reliability indices could serve as eligibility criteria for clinical trials, helping identify patients with adequate retest reliability.
本研究旨在确定有无年龄相关性黄斑变性(AMD)的患者定量眼底自发荧光(QAF)的复测可变性,并评估患者可靠性指数对复测可靠性的预测价值。共有 68 名患者的 132 只眼接受了检查,包括健康个体和各种阶段的 AMD 患者。在六个研究地点,在基线和 2 周后重复进行 QAF 成像。使用组内相关系数(ICC)分析评估成像的一致性,并由两名研究人员生成平均意见评分(MOS)的图像质量。使用混合效应线性模型评估 MOS 和其他因素对复测变化的贡献。此外,还训练了一个随机森林回归器,以评估手动图像质量分级可以在多大程度上被自动评估(推断的 MOS)所替代。结果表明,所有 QAF 图像的 ICC 值都很高,AMD 影响眼的 ICC 值略低。在 QAF8 环内的 QAF 段的日间平均 ICC 为 0.77,在周边段的 ICC 为 0.74。在 5 分制的图像质量上,平均绝对误差为 0.27,在所有评估的可靠性指数中,MOS/推断的 MOS 证明最为重要。这些发现表明,在多中心、多操作者环境中,QAF 允许对 AMD 患者的后极自发荧光水平进行可靠的测试。患者可靠性指数可作为临床试验的入选标准,有助于识别具有足够复测可靠性的患者。