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Tytuł:
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Growth Modeling for Quantitative, Spatially Resolved Geographic Atrophy Lesion Kinetics.
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Autorzy:
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Moult EM; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.; Health Sciences and Technology, Harvard & Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Hwang Y; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Shi Y; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Wang L; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Chen S; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Waheed NK; New England Eye Center, Tufts Medical Center, Boston, Massachusetts, USA.
Gregori G; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Rosenfeld PJ; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Fujimoto JG; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
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Źródło:
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Translational vision science & technology [Transl Vis Sci Technol] 2021 Jun 01; Vol. 10 (7), pp. 26.
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Typ publikacji:
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Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Original Publication: Rockville, Md. : Association for Research in Vision and Ophthalmology
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MeSH Terms:
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Geographic Atrophy*
Fluorescein Angiography ; Humans ; Kinetics ; Prospective Studies ; Tomography, Optical Coherence
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References:
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Grant Information:
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R01 EY011289 United States EY NEI NIH HHS
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Entry Date(s):
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Date Created: 20210622 Date Completed: 20210628 Latest Revision: 20210705
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Update Code:
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20240105
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PubMed Central ID:
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PMC8237082
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DOI:
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10.1167/tvst.10.7.26
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PMID:
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34156431
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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.
