Measuring Geographic Atrophy Area Using Column-Based Machine Learning Software on Spectral-Domain Optical Coherence Tomography versus Fundus Auto Fluorescence

利用基于列的机器学习软件,通过光谱域光学相干断层扫描与眼底自发荧光测量地理萎缩面积

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Abstract

BACKGROUND: The purpose of this study was to compare geographic atrophy (GA) area semi-automatic measurement using fundus autofluorescence (FAF) versus optical coherence tomography (OCT) annotation with the cRORA (complete retinal pigment epithelium and outer retinal atrophy) criteria. METHODS: GA findings on FAF and OCT were semi-automatically annotated at a single time point in 36 pairs of FAF and OCT scans obtained from 36 eyes in 24 patients with dry age-related macular degeneration (AMD). The GA area, focality, perimeter, circularity, minimum and maximum Feret diameter, and minimum distance from the center were compared between FAF and OCT annotations. RESULTS: The total GA area measured on OCT was 4.74 ± 3.80 mm(2). In contrast, the total GA measured on FAF was 13.47 ± 8.64 mm(2) (p < 0.0001), with a mean difference of 8.72 ± 6.35 mm(2). Multivariate regression analysis revealed a significant correlation between the difference in area between OCT and FAF and the total baseline lesion perimeter and maximal lesion diameter measured on OCT (adjusted r(2): 0.52; p < 0.0001) and the total baseline lesion area measured on FAF (adjusted r(2): 0.83; p < 0.0001). CONCLUSIONS: We report that the GA area measured on FAF differs significantly from the GA area measured on OCT. Further research is warranted in order to determine the clinical relevance of these findings.

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