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Clinical applications of fundus autofluorescence in retinal disease
Open accessAbstract
Fundus autofluorescence (FAF) is a non-invasive retinal imaging modality used in clinical practice to provide a density map of lipofuscin, the predominant ocular fluorophore, in the retinal pigment epithelium. Multiple commercially available imaging systems, including the fundus camera, the confocal scanning laser ophthalmoscope, and the ultra-widefield imaging device, are available to the clinician. Each offers unique advantages for evaluating various retinal diseases. The clinical applications of FAF continue to expand. It is now an essential tool for evaluating age related macular degeneration, macular dystrophies, retinitis pigmentosa, white dot syndromes, retinal drug toxicities, and various other retinal disorders. FAF may detect abnormalities beyond those detected on funduscopic exam, fluorescein angiography, or optical coherence tomography, and can be used to elucidate disease pathogenesis, form genotype-phenotype correlations, diagnose and monitor disease, and evaluate novel therapies. Given its ease of use, non-invasive nature, and value in characterizing retinal disease, FAF enjoys increasing clinical relevance. This review summarizes common ocular fluorophores, imaging modalities, and FAF findings for a wide spectrum of retinal disorders.
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![Fig. 15 Multi-modal imaging of didanosine-induced (DDI) toxicity. Widefield FAF (a, b) demonstrated diffuse, bilateral midperipheral areas of well-circumscribed hypo-autofluoresence secondary to DDI toxicity. SD-OCT through the fovea (c, d) reveals macular sparing with intact retinal layers, while SD-OCT at the mid-periphery, through the lesion (e, f), demonstrates striking transmural atrophy with choroidal involvement. Reproduced with permission from [187]. Copyright© 2016 American Medical Association. All rights reserved](/paper-figures/c9202cd64f134ea69d1399cbeb25c540/clinical-applications-of-fundus-autofluorescence-in-retinal-disease-figure-15.jpg)
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“As A2E can not be further metabolized and as RPE cells are postmitotic, A2E and related bisretinoids accumulate in the RPE in the form of lipofuscin deposits.”
From The Role of Vitamin A in Retinal Diseases (2022) · cites this paper as [75]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Although abundant lipofuscin accumulation is involved in the aetiology of certain retinal diseases (e.g., AMD, Best disease and ABCA4-retinopathy), it accumulates at a lower level also with age in the RPE of healthy eyes [9,72,73,74,75].”
From The Role of Vitamin A in Retinal Diseases (2022) · cites this paper as [75]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Lipofuscin is an autofluorescent cellular waste product that compromises the function and viability of RPE cells and ultimately results in photoreceptor degeneration and a loss of vision [54,69,73,74,75].”
From The Role of Vitamin A in Retinal Diseases (2022) · cites this paper as [75]
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Clinical Classification of Age-related Macular Degeneration
Ferris, F. L., Wilkinson, C. P., Bird, A. C., Chakravarthy, U., Chew, E. Y., Csaky, K. G., & Sadda, S. R. (2013) · Ophthalmology · doi:10.1016/j.ophtha.2012.10.036 · Cited by 1,868
Stereoscopic Atlas of Macular Diseases: Diagnosis and Treatment
(1990) · Archives of Ophthalmology · doi:10.1001/archopht.1990.01070060042026 · Cited by 1,014
Delori, F. C., Dorey, C. K., Staurenghi, G., Arend, O., Goger, D. G., & Weiter, J. J. (1995) · PubMed · Cited by 938
Revised Recommendations on Screening for Chloroquine and Hydroxychloroquine Retinopathy
Marmor, M. F., Kellner, U., Lai, T. Y. Y., Lyons, J. S., & Mieler, W. F. (2011) · Ophthalmology · doi:10.1016/j.ophtha.2010.11.017 · Cited by 703
Holz, F. G., Bindewald-Wittich, A., Fleckenstein, M., Dreyhaupt, J., Scholl, H. P. N., & Schmitz-Valckenberg, S. (2007) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2006.11.041 · Cited by 619
Sparrow, J. R., Nakanishi, K., & Parish, C. A. (2000) · PubMed · Cited by 566
Retinal pigment epithelial lipofuscin and melanin and choroidal melanin in human eyes.
Weiter, J. J., Delori, F. C., Wing, G. L., & Fitch, K. A. (1986) · PubMed · Cited by 565
Aging human RPE: morphometric analysis of macular, equatorial, and peripheral cells.
Feeney-Burns, L., Hilderbrand, E. S., & Eldridge, S. (1984) · PubMed · Cited by 561
RPE65 is the isomerohydrolase in the retinoid visual cycle
Moiseyev, G., Chen, Y., Takahashi, Y., Wu, B. X., & Ma, J.-X. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503460102 · Cited by 536
Prevalence of Age-Related Macular Degeneration in the US Population
Klein, R. (2011) · Archives of Ophthalmology · doi:10.1001/archophthalmol.2010.318 · Cited by 523
Research works printed but not linked: 2
- Park SP, Siringo FS, Pensec N, et al. Comparison of fundus autofluorescence between fundus camera and confocal scanning laser ophthalmoscope-based systems. Ophthalmic Surgery Lasers Imaging Retina. 2013;44(6):536–43. · DOI
- Espina M, Barteselli G, Ma F, et al. Noncontact ultra-wide field lens system by Heidelberg spectralis. Invest Ophthalmol Vis Sci. 2014;55(13):1615.
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Metadata
- Authors
- Yung, M., Klufas, M. A., & Sarraf, D.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Sarraf, David
- Venue
- International Journal of Retina and Vitreous
- Published
- 2016-04-08
- Volume
- 2
- Issue
- 1
- Pages
- 12-12
- ISSN
- 2056-9920 (ISSN-L)
- PMC
- PMC5088473
- OpenAlex
- W2329521208
- Cited by
- 236
- References
- 198
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 22 · 2023: 20 · 2022: 29 · 2021: 40 · 2020: 31 · 2019: 24 · 2018: 22 · 2017: 8 · 2016: 1
- FWCI
- 3.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Retina and Vitreous (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Regeneron Pharmaceuticals
- Genentech
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
- Keywords
- fundus autofluorescence, lipofuscin, retinal pigment epithelium, age-related macular degeneration, macular dystrophy, retinitis pigmentosa, white dot syndromes, ultra-widefield imaging, confocal scanning laser ophthalmoscopy, genotype-phenotype correlation
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