ArticleTranslational vision science & technology2021
Color Fundus Autofluorescence to Determine Activity of Macular Neovascularization in Age-Related Macular Degeneration.
Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Spectrally Resolved Fundus Autofluorescence as a Biomarker of Retinal Metabolic Integrity in Intermediate and Atrophic AMD.Investigative ophthalmology & visual science · 2026Observational
- The role of peripheral blood microRNAs in the pathogenesis and treatment response of age-related macular degeneration.Future science OA · 2025Review
- Advancements in Imaging and Therapeutic Options for Dry Age-Related Macular Degeneration and Geographic Atrophy.Ophthalmology and therapy · 2024Review
- Explainable artificial intelligence model for the detection of geographic atrophy using colour retinal photographs.BMJ open ophthalmology · 2023Article
- Quantitative Color Fundus Autofluorescence in Patients with Diabetes Mellitus.Journal of clinical medicine · 2020Article
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To evaluate with color fundus autofluorescence (FAF) different lesion components of macular neovascularization (MNV) secondary to age-related macular degeneration (AMD) and to assess its activity. Methods: In total, 137 eyes (102 patients) with MNV underwent a complete eye examination, including color fundus photography, optical coherence tomography (OCT), OCT angiography, and confocal color FAF, with an excitation wavelength at 450 nm. Each image was imported into a custom-image analysis software for quantitative estimation of emission wavelength and green and red emission fluorescence (GEFC/REFC) intensity, considering both single components of neovascular AMD and different MNV types (type 1 and type 2 MNV, active and inactive MNV). Results: Subretinal fluid (SRF) had significantly higher values of GEFC (P = 0.008 and P = 0.0004) and REFC intensity (P = 0.005 and P = 0.0003) versus fibrosis and atrophy. The emission wavelength from SRF was lower compared to atrophy (P = 0.024) but not to fibrosis (P = 0.46). No significant differences were detected between type 1 and 2 MNV. Considering active versus inactive MNVs, a difference was detected for all evaluated parameters (P < 0.001). Mean FAF wavelength of both MNV with SRF and intraretinal fluid (IRF) was lower versus inactive MNV (P < 0.001 and P = 0.005). MNV with SRF (P < 0.001) had higher values of GEFC and REFC versus inactive MNV (P < 0.001). MNV with IRF had higher values of GEFC versus inactive MNV (P = 0.05). Conclusions: Quantitative color FAF can differentiate active versus inactive MNV, whereas no differences were found between type 1 and type 2 MNV. If these data can be further confirmed, color FAF may be useful for automatic detection of active MNV in AMD and as a guide for treatment. Translational Relevance: Automatic quantitative evaluation of green and red emission components of FAF in AMD can help determine the activity of MNV and guide the treatment.
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