Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration
Abstract We aimed to compare fluorescein angiography (FA)-based classification of macular neovascularisation (MNV) with optical coherence tomography (OCT)-based classification, as well as examine differences in retinal fluid among OCT MNV types. We analyzed baseline FA and OCT images from 704 eyes o...
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2025-02-01
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author | Gábor G. Deák Klaudia Birner Bianca S. Gerendas Georgios Mylonas Günther Weigert Martin Michl Irene Steiner Ursula M. Schmidt-Erfurth |
author_facet | Gábor G. Deák Klaudia Birner Bianca S. Gerendas Georgios Mylonas Günther Weigert Martin Michl Irene Steiner Ursula M. Schmidt-Erfurth |
author_sort | Gábor G. Deák |
collection | DOAJ |
description | Abstract We aimed to compare fluorescein angiography (FA)-based classification of macular neovascularisation (MNV) with optical coherence tomography (OCT)-based classification, as well as examine differences in retinal fluid among OCT MNV types. We analyzed baseline FA and OCT images from 704 eyes of neovascular AMD patients across two multicenter trials, with grading conducted at the Vienna Reading Center. Using a validated AI tool (RetInSight Fluid Monitor Version 2), we localized and quantified retinal fluid. Kappa coefficients for agreement between FA and OCT MNV types were 0.58 [0.52; 0.64] (type 1/occult), 0.46 [0.38; 0.55] (type 2/classic), and 0.53 [0.44; 0.62] (type 3/RAP). Significant differences in the volumes of intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED) were noted among MNV types (p < 0.0001). Pairwise comparisons revealed significant differences in IRF volumes across all lesion types except type 2 versus mixed type, in SRF between type 3 and other types, and in PED between type 2 and other lesions. In conclusion, there was moderate agreement between FA and OCT classifications, and notable differences in fluid distribution among OCT types, suggesting potential for AI-guided MNV recognition in clinical settings. |
format | Article |
id | doaj-art-1940f34b29c140bcbb35171fdbbc0c8c |
institution | Kabale University |
issn | 2045-2322 |
language | English |
publishDate | 2025-02-01 |
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spelling | doaj-art-1940f34b29c140bcbb35171fdbbc0c8c2025-02-09T12:33:31ZengNature PortfolioScientific Reports2045-23222025-02-011511810.1038/s41598-025-87576-6Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degenerationGábor G. Deák0Klaudia Birner1Bianca S. Gerendas2Georgios Mylonas3Günther Weigert4Martin Michl5Irene Steiner6Ursula M. Schmidt-Erfurth7Department of Ophthalmology, Medical University of ViennaDepartment of Ophthalmology, Medical University of ViennaDepartment of Ophthalmology, Medical University of ViennaDepartment of Ophthalmology, Medical University of ViennaDepartment of Ophthalmology, Medical University of ViennaDepartment of Ophthalmology, Medical University of ViennaCenter for Medical Data Science, Institute of Medical Statistics, Medical University of ViennaDepartment of Ophthalmology, Medical University of ViennaAbstract We aimed to compare fluorescein angiography (FA)-based classification of macular neovascularisation (MNV) with optical coherence tomography (OCT)-based classification, as well as examine differences in retinal fluid among OCT MNV types. We analyzed baseline FA and OCT images from 704 eyes of neovascular AMD patients across two multicenter trials, with grading conducted at the Vienna Reading Center. Using a validated AI tool (RetInSight Fluid Monitor Version 2), we localized and quantified retinal fluid. Kappa coefficients for agreement between FA and OCT MNV types were 0.58 [0.52; 0.64] (type 1/occult), 0.46 [0.38; 0.55] (type 2/classic), and 0.53 [0.44; 0.62] (type 3/RAP). Significant differences in the volumes of intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED) were noted among MNV types (p < 0.0001). Pairwise comparisons revealed significant differences in IRF volumes across all lesion types except type 2 versus mixed type, in SRF between type 3 and other types, and in PED between type 2 and other lesions. In conclusion, there was moderate agreement between FA and OCT classifications, and notable differences in fluid distribution among OCT types, suggesting potential for AI-guided MNV recognition in clinical settings.https://doi.org/10.1038/s41598-025-87576-6MNV lesion typeCNV lesion typeAMDOCTFAArtificial intelligence |
spellingShingle | Gábor G. Deák Klaudia Birner Bianca S. Gerendas Georgios Mylonas Günther Weigert Martin Michl Irene Steiner Ursula M. Schmidt-Erfurth Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration Scientific Reports MNV lesion type CNV lesion type AMD OCT FA Artificial intelligence |
title | Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration |
title_full | Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration |
title_fullStr | Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration |
title_full_unstemmed | Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration |
title_short | Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration |
title_sort | comparison of optical coherence tomography vs fluorescein angiography based macular neovascularization classifications in age related macular degeneration |
topic | MNV lesion type CNV lesion type AMD OCT FA Artificial intelligence |
url | https://doi.org/10.1038/s41598-025-87576-6 |
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