The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
FUNDUS AUTOFLUORESCENCE IMAGING: Review and Perspectives
Abstract
In Brief Fundus autofluorescence (FAF) imaging is a novel imaging method that allows topographic mapping of lipofuscin distribution in the retinal pigment epithelium cell monolayer as well as of other fluorophores that may occur with disease in the outer retina and the subneurosensory space. Excessive accumulation of lipofuscin granules in the lysosomal compartment of retinal pigment epithelium cells represents a common downstream pathogenetic pathway in various hereditary and complex retinal diseases, including age-related macular degeneration. FAF imaging has been shown to be useful with regard to understanding of pathophysiologic mechanisms, diagnostics, phenotype–genotype correlation, identification of predictive markers for disease progression, and monitoring of novel therapies. FAF imaging gives information above and beyond that obtained by conventional imaging methods, such as fundus photography, fluorescein angiography, and optical coherence tomography. Its clinical value coupled with its simple, efficient, and noninvasive nature is increasingly appreciated. This review summarizes basic principles and FAF findings in various retinal diseases. Fundus autofluorescence imaging is a novel imaging method that allows topographic mapping of lipofuscin distribution in the retinal pigment epithelium cell monolayer as well as of other fluorophores that may occur with disease in the outer retina and the subneurosensory space. This review summarizes basic principles and fundus autofluorescence findings in various retinal diseases.
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Cites
The Five-year Incidence and Progression of Age-related Maculopathy
Klein, R., Klein, B. E. K., Jensen, S. C., & Meuer, S. M. (1997) · Ophthalmology · doi:10.1016/s0161-6420(97)30368-6 · Cited by 1,135
Prevalence of age-related maculopathy in Australia
Mitchell, P., Smith, W., Attebo, K., & Wang, J. J. (1995) · Ophthalmology · doi:10.1016/s0161-6420(95)30846-9 · Cited by 1,062
Delori, F. C., Dorey, C. K., Staurenghi, G., Arend, O., Goger, D. G., & Weiter, J. J. (1995) · PubMed · Cited by 948
Ageing and degeneration in the macular region: A clinico-pathological study
Sarks, S. H. (1976) · British Journal of Ophthalmology · doi:10.1136/bjo.60.5.324 · Cited by 891
Complement C3 variant and the risk of age-related macular degeneration
Yates, J. R. W., Sepp, T., Matharu, B. K., Khan, J. C., Thurlby, D. A., Shahid, H., Clayton, D. G., Hayward, C., Morgan, J., Wright, A. F., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072618 · Cited by 829
Self-citationEvolution of geographic atrophy of the retinal pigment epithelium
Sarks, J. P., Sarks, S. H., & Killingsworth, M. C. (1988) · Eye · doi:10.1038/eye.1988.106 · Cited by 804
Age-related Macular Degeneration Histopathologic Studies
Green, W. R., & Enger, C. (1993) · Ophthalmology · doi:10.1016/s0161-6420(93)31466-1 · Cited by 757
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
Self-citationConfocal scanning laser ophthalmoscope
Webb, R. H., Hughes, G. W., & Delori, F. C. (1987) · Applied Optics · doi:10.1364/ao.26.001492 · Cited by 597
Mutations in ABCC6 cause pseudoxanthoma elasticum
Bergen, A. A. B., Plomp, A. S., Schuurman, E. J., Terry, S., Breuning, M., Dauwerse, H., Swart, J., Kool, M., van Soest, S., Baas, F., et al. (2000) · Nature Genetics · doi:10.1038/76109 · Cited by 593
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Nicholson, B., Noble, J., Forooghian, F., & Meyerle, C. (2013) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2012.07.004 · Cited by 649
Photoreceptor degeneration: genetic and mechanistic dissection of a complex trait
Wright, A. F., Chakarova, C. F., Abd El-Aziz, M. M., & Bhattacharya, S. S. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2717 · Cited by 631
A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration
Schmidt-Erfurth, U., & Waldstein, S. M. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2015.07.007 · Cited by 390
Retinal Photodamage Mediated by All‐trans‐retinal†
Maeda, T., Golczak, M., & Maeda, A. (2012) · Photochemistry and Photobiology · doi:10.1111/j.1751-1097.2012.01143.x · Cited by 92
Contemporary retinal imaging techniques in diabetic retinopathy: a review
Cole, E. D., Novais, E. A., Louzada, R. N., & Waheed, N. K. (2016) · Clinical & Experimental Ophthalmology · doi:10.1111/ceo.12711 · Cited by 91
Metadata
- Authors
- SCHMITZ-VALCKENBERG, S., HOLZ, F. G., BIRD, A. C., & SPAIDE, R. F.
- Venue
- Retina
- Published
- 2008-03
- Volume
- 28
- Issue
- 3
- Pages
- 385-409
- ISSN
- 0275-004X (ISSN-L)
- OpenAlex
- W2012372812
- Cited by
- 537
- References
- 112
- FWCI
- 27.00
- Type
- journal article
- Language
- en
- Open access
- closed
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