ArticleOphthalmic research2025
Characterization of Macular Fundus Autofluorescence Changes in Patients with Retinitis Pigmentosa.
Article in Ophthalmic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionThe aim of this study was to characterized fundus autofluorescence (AF) changes that occur in the macula of patients with retinitis pigmentosa (RP).
methodsWe conducted a case series on 99 patients with RP. Features seen on fundus AF images were evaluated, organized into a grading scheme, and correlated with ellipsoid zone (EZ) width. Patterns of AF changes occurring in the macula and correlation with EZ width.
resultsFour primary fundus AF phenotypes were identified: (1) hyperAF arc, (2) hyperAF ring, (3) hyperAF ring with abnormal hyperAF within the ring, and (4) central hyperAF. The second phenotype was most common and had 3 subgroups, hyperAF rings within the macula, those extending outside the macula, and incomplete rings. HyperAF rings were also characterized as narrow or wide with wide rings having a greater amount of hyperAF. Linear Mixed-Effects Model showed mean measured EZ width was significantly greater for phenotype 1 versus each of the other 3 phenotypes (p < 0.01) and for phenotype 2 versus phenotypes 3 and 4 (p < 0.05), and also differed among phenotype 2 subgroups (p < 0.05). Other AF characteristics identified were focal posterior distinct or indistinct hypoAF which sometimes formed complete or incomplete hypoAF rings surrounding a hyperAF ring, diffuse or focal hyperAF outside hyperAF rings, and the amount of encroachment of peripheral hypoAF.
conclusionsA grading scheme for macular AF features in patients with RP identified phenotypes that correlate with stage of disease based upon EZ width. Longitudinal studies are needed to test whether presumed early AF phenotypes evolve into later phenotypes. Use of the grading scheme for patient populations in interventional trials could help determine if any of the defined AF features provide predictive value for therapeutic responses.
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