Abstract
Aims/Purpose: This study aims to analyze AMD Atrophy Complication using an efficient methodology to maximize the understanding of its characteristics, evolution and prognosisMethods: 572 eyes from 401 patients with AMD Atrophy Complication were examined using OCT (Spectralis HRA‐OCT, spectral domain OCT) and Automatic OCT segmentation (Ikerian). Every time, Automatic measurements of OCT scans evaluated: width, mean and maximum horizontal loss or extent of change per year, of both inner and outer retinal layers particularly focusing on PR (Photoreceptor), Myoid zone (MZ) and RPE (Retinal Pigment Epithelium) layer. Drusen, pigment epithelial detachment (PED), amorphous material (AM) measurements were also involved. Follow‐up assessments were conducted every 6 months during 4 years. Edge of atrophic areas was also evaluated, particularly focusing on retina layers at the border itself and at distance from it, in intervals of 0.1mm, so basically rings around the lesionResults: OCT allowed for a comprehensive analysis of all atrophic areas characteristics, retina layers. Automatic OCT segmentation facilitated enhanced analysis, evaluation, through automation, providing insights into atrophic lesion's characteristics: size, width, evolution, edge. 3317 OCT scans were analyzed. Mean change (mm/year) demonstrated a depletion extent of RPE: 0.16 (0.51); PR: 0.20(0.63); MZ: 0.22(0.69); an extent of PED: 0.07(0.57) and AM: 0.10(0.86). The MZ layer appeared to attenuate first, followed by PR, finally RPE layer over time. At Edge of Atrophic area: similar results concerning MZ, PR and RPE layers, but differences between 0 and 0,4 mm from the border. This approach enabled a closer examination, characterization of atrophy, edge of atrophic area too, as well as area itself, establishing a better understanding of its evolution and physiopathology. Consequently, criteria for risk evolution, biomarkers and predictors of AMD Atrophy complication were determined.Conclusions: The study of AMD Atrophy Complication with OCT and Automatic OCT segmentation significantly improves the criteria for evaluation, evolution and prognosis of ATROPHY, so better knowledge and understanding of physiopathology process and efficiency in therapeutic evaluations
Published Version
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