Journal article

Model Structure Uncertainty in the Characterization and Growth of Geographic Atrophy

Janan Arslan, Kurt K Benke, Gihan Samarasinghe, Arcot Sowmya, Robyn H Guymer, Paul N Baird

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY | ASSOC RESEARCH VISION OPHTHALMOLOGY INC | Published : 2021

Abstract

Purpose: To identify the most suitable model for assessing the rate of growth of total geographic atrophy (GA) by analysis of model structure uncertainty. Methods: Model structure uncertainty refers to unexplained variability arising from the choice of mathematical model and represents an example of epistemic uncertainty. In this study, we quantified this uncertainty to help identify a model most representative of GA progression. Fundus autofluorescence (FAF) images and GA progression data (i.e., total GA area estimation at each presentation) were acquired using Spectralis HRA+OCT instrumentation and RegionFinder software. Six regression models were evaluated. Models were compared using vari..

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Grants

Awarded by National Health AMP; Medical Research Council of Australia (NHMRC)


Awarded by NHMRC


Funding Acknowledgements

Supported by the National Health & Medical Research Council of Australia (NHMRC) Senior Research Fellowship 1138585 (PNB); NHMRC Fellowship GNT1103013 (RHG); and RB McComas Research Scholarship in Ophthalmology from the University of Melbourne (JA).