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Updated: Aug 5, 2026

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A Workflow to Quantitatively Determine Age-Related Macular Degeneration Lesion-Specific Variations in Fundus Autofluorescence
Published on: May 26, 2023
Quantitative Evaluation of Geographic Atrophy Progression Using Geographic Atrophy Lesion Front Displacement
Shinichiro Chujo1,2,3, Jiwon Baek1,2,4,5, Akihito Uji6
1Doheny Eye Institute, Pasadena, California, United States.
Investigative Ophthalmology & Visual Science
|July 31, 2026
Summary
Lesion front displacement offers a more linear and less variable method for tracking geographic atrophy (GA) progression in age-related macular degeneration compared to traditional metrics.
Area of Science:
- Ophthalmology
- Medical Imaging
- Biostatistics
Background:
- Geographic atrophy (GA) is a leading cause of vision loss in age-related macular degeneration (AMD).
- Accurate quantification of GA progression is crucial for clinical trials and patient management.
- Current metrics for GA progression may have limitations in temporal behavior and variability.
Purpose of the Study:
- To evaluate the temporal behavior and relative variability of lesion front displacement for quantifying GA progression.
- To compare the performance of lesion front displacement with conventional GA progression metrics.
Main Methods:
- Retrospective analysis of 103 untreated eyes with GA from the MAHALO clinical trial.
- Fundus autofluorescence images analyzed at baseline and 6, 12, and 18 months.
- Calculated five progression metrics: area change, square root area change, perimeter change, perimeter-adjusted growth rate (λ'PA), and lesion front displacement.
Main Results:
- Lesion front displacement showed better linearity (R2 = 0.504) compared to area and square root area metrics.
- Area, square root area, perimeter, and λ'PA exhibited lower goodness of fit to a linear model.
- Lesion front displacement demonstrated significantly lower dispersion and variability across follow-up intervals compared to perimeter change and λ'PA.
Conclusions:
- Lesion front displacement provides a more consistent linear approximation and lower variability for GA progression assessment.
- This margin-based metric may serve as a valuable complementary tool for longitudinal GA assessment in AMD.

