Near-Infrared Reflectance Imaging for Quantification of Atrophy associated with Age-related Macular Degeneration.

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ID: 83629
2020
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Abstract
To compare measurements of area of geographic atrophy (GA) in dry age-related macular degeneration (AMD) obtained by fundus autofluorescence (FAF) to those obtained by near infrared reflectance (NIR).Inter-rater reliability analysis.Ninety-seven confocal NIR images (Heidelberg HRA + Spectralis) and FAF images from 97 patients/eyes with GA with dry AMD were collected retrospectively from existing anonymized Doheny Image Reading Center datasets. Two masked reading center graders (NS and JS) independently and blindly performed manual segmentation of the GA lesions on each NIR and FAF image using GNU Image Manipulation Program (GIMP, ver 2.8.22) software. GA on NIR/FAF images was defined in accordance to recently published Classification of Atrophy Meeting criteria as sharply-demarcated hyper-reflective regions of at least 250 microns in diameter. The difference and point-to-point correspondence between gradings in GA area measurements between NIR and FAF were assessed by mean difference, overlap ratio and Dice similarity coefficient.Among the 97 eyes with dry AMD, mean GA area was 7.62 ± 7.77 mm from FAF images and 7.65 ± 7.83 mm from NIR, with a mean nonsignificant difference of 0.31 ± 0.55 mm (two-tailed t-test, p = 0.65). The overlap ratio in the segmented GA lesion between modalities was 0.84 ± 0.28 with a Dice similarity coefficient of 0.87 ± 0.27. Intermodal reliability was high (intra-class correlation coefficient/ICC = 0.998, p <0.01). Of note, in 5 cases (5.2%), the GA lesion could be identified on the FAF image, but not on the IR image, translating into a sensitivity of 94.8%.GA lesions in dry AMD can be identified and quantified reliably using NIR images in many cases, though eyes with a thin choroid resulting in iso-reflective GA lesions may be challenging. As NIR imaging is comfortable for patients and is commonly obtained along with OCT, NIR-based GA assessment may be a useful surrogate in clinical settings.
Reference Key
abdelfattah2020nearinfraredamerican Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Abdelfattah, Nizar Saleh;Sadda, Jaya;Wang, Ziyuan;Hu, Zhihong;Sadda, Srinivas;
Journal American journal of ophthalmology
Year 2020
DOI
S0002-9394(20)30010-6
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