Acta ophthalmologica · 2026
The optical coherence tomography and microperimetry biomarker evaluation in patients with geographic atrophy (OMEGA) study: Geographic atrophy progression in fundus autofluorescence - OMEGA report 3.
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Valmaggia Philippe, Ansari Georg, Inglin Nadja, Schärer Nils, Zuche Hanna, Gabrani Chrysoula, Yahya Faady, Cattaneo Marco, Pfau Kristina, Giani Andrea, Esmaeelpour Marieh, Yamaguchi Taffeta Chingning, Prünte Christian, Scholl Hendrik P N, Feltgen Nicolas, Schmetterer Leopold, Pfau Maximilian, Maloca Peter M
Аннотация
PURPOSE: To measure the progression of geographic atrophy (GA) in subjects with age-related macular degeneration (AMD) in a natural history study.
METHODS: We analysed fundus autofluorescence (FAF) images using a semiautomatic method (RegionFinder) to quantify the GA area in a monocentric study. Three independent graders analysed each eye. Patient visits were scheduled at baseline, 12, 24 and 48 weeks. The primary endpoint was the progression of GA area per eye. Potential correlations with clinical and imaging-based parameters were analysed.
RESULTS: The annual GA progression rate was 1.16 mm2/year (95% CI: 0.76-1.56; p < 0.001), with faster growth in eyes with larger baseline lesions (R2 = 0.74). After square root transformation, the progression rate was 0.34 mm/year (95% CI: 0.26-0.43; p < 0.001), and the size dependency was reduced (adjusted R2 = 0.16). Multivariable mixed-effects models identified a significant association between larger GA lesion sizes per eye and the number of smoking pack-years (p = 0.017), the presence of perilesional hyperautofluorescence (p = 0.044) and a multifocal configuration of the GA lesions (p = 0.038). Intermediate AMD in the fellow eye was significantly associated with faster GA progression (p = 0.041).
CONCLUSION: GA progression in AMD is significantly influenced by baseline lesion size and a larger number of smoking pack-years is associated with larger GA lesions. The marked variability between individuals underscores the multifactorial nature of GA dynamics. Quantitative FAF analysis is a reliable method for assessing lesion progression and may inform risk-based monitoring strategies.
METHODS: We analysed fundus autofluorescence (FAF) images using a semiautomatic method (RegionFinder) to quantify the GA area in a monocentric study. Three independent graders analysed each eye. Patient visits were scheduled at baseline, 12, 24 and 48 weeks. The primary endpoint was the progression of GA area per eye. Potential correlations with clinical and imaging-based parameters were analysed.
RESULTS: The annual GA progression rate was 1.16 mm2/year (95% CI: 0.76-1.56; p < 0.001), with faster growth in eyes with larger baseline lesions (R2 = 0.74). After square root transformation, the progression rate was 0.34 mm/year (95% CI: 0.26-0.43; p < 0.001), and the size dependency was reduced (adjusted R2 = 0.16). Multivariable mixed-effects models identified a significant association between larger GA lesion sizes per eye and the number of smoking pack-years (p = 0.017), the presence of perilesional hyperautofluorescence (p = 0.044) and a multifocal configuration of the GA lesions (p = 0.038). Intermediate AMD in the fellow eye was significantly associated with faster GA progression (p = 0.041).
CONCLUSION: GA progression in AMD is significantly influenced by baseline lesion size and a larger number of smoking pack-years is associated with larger GA lesions. The marked variability between individuals underscores the multifactorial nature of GA dynamics. Quantitative FAF analysis is a reliable method for assessing lesion progression and may inform risk-based monitoring strategies.