Eric M Moult1,2, Yunchan Hwang1, Yingying Shi3, Liang Wang3, Siyu Chen1, Nadia K Waheed4, Giovanni Gregori3, Philip J Rosenfeld3, James G Fujimoto1. 1. Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. 2. Health Sciences and Technology, Harvard & Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. 3. Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA. 4. New England Eye Center, Tufts Medical Center, Boston, Massachusetts, USA.
Abstract
Purpose: To demonstrate the applicability of a growth modeling framework for quantifying spatial variations in geographic atrophy (GA) lesion kinetics. Methods: Thirty-eight eyes from 27 patients with GA secondary to age-related macular degeneration were imaged with a commercial swept source optical coherence tomography instrument at two visits separated by 1 year. Local GA growth rates were computed at 6-µm intervals along each lesion margin using a previously described growth model. Corresponding margin eccentricities, margin angles, and growth angles were also computed. The average GA growth rates conditioned on margin eccentricity, margin angle, growth angle, and fundus position were estimated via kernel regression. Results: A total of 88,356 GA margin points were analyzed. The average GA growth rates exhibited a hill-shaped dependency on eccentricity, being highest in the 0.5 mm to 1.6 mm range and lower on either side of that range. Average growth rates were also found to be higher for growth trajectories oriented away from (smaller growth angle), rather than toward (larger growth angle), the foveal center. The dependency of average growth rate on margin angle was less pronounced, although lesion segments in the superior and nasal aspects tended to grow faster. Conclusions: Our proposed growth modeling framework seems to be well-suited for generating accurate, spatially resolved GA growth rate atlases and should be confirmed on larger datasets. Translational Relevance: Our proposed growth modeling framework may enable more accurate measurements of spatial variations in GA growth rates.
Purpose: To demonstrate the applicability of a growth modeling framework for quantifying spatial variations in geographic atrophy (GA) lesion kinetics. Methods: Thirty-eight eyes from 27 patients with GA secondary to age-related macular degeneration were imaged with a commercial swept source optical coherence tomography instrument at two visits separated by 1 year. Local GA growth rates were computed at 6-µm intervals along each lesion margin using a previously described growth model. Corresponding margin eccentricities, margin angles, and growth angles were also computed. The average GA growth rates conditioned on margin eccentricity, margin angle, growth angle, and fundus position were estimated via kernel regression. Results: A total of 88,356 GA margin points were analyzed. The average GA growth rates exhibited a hill-shaped dependency on eccentricity, being highest in the 0.5 mm to 1.6 mm range and lower on either side of that range. Average growth rates were also found to be higher for growth trajectories oriented away from (smaller growth angle), rather than toward (larger growth angle), the foveal center. The dependency of average growth rate on margin angle was less pronounced, although lesion segments in the superior and nasal aspects tended to grow faster. Conclusions: Our proposed growth modeling framework seems to be well-suited for generating accurate, spatially resolved GA growth rate atlases and should be confirmed on larger datasets. Translational Relevance: Our proposed growth modeling framework may enable more accurate measurements of spatial variations in GA growth rates.
Authors: Omer Trivizki; Eric M Moult; Liang Wang; Prashanth Iyer; Yingying Shi; Giovanni Gregori; William Feuer; James G Fujimoto; Philip J Rosenfeld Journal: Invest Ophthalmol Vis Sci Date: 2022-01-03 Impact factor: 4.799
Authors: Eric M Moult; Yingying Shi; Liang Wang; Siyu Chen; Nadia K Waheed; Giovanni Gregori; Philip J Rosenfeld; James G Fujimoto Journal: Ophthalmol Sci Date: 2022-04-14