Characterization of Macular Fundus Autofluorescence Changes in Patients with Retinitis Pigmentosa

色素性视网膜炎 眼科 自体荧光 眼底(子宫) 医学 验光服务 视网膜 光学 物理 荧光
作者
Muhammad Jehanzeb Khan,Zuherman Rustam,Faiqa Binte Aamir,María Miranda,Ibraheem S Shaikh,Anam Akhlaq,Jiawen Liu,Mandeep Singh,Xiangrong Kong,Peter A. Campochiaro
出处
期刊:Ophthalmic Research [Karger Publishers]
卷期号:: 1-29
标识
DOI:10.1159/000543082
摘要

To characterize fundus autofluorescence (AF) changes that occur in the macula of patients with retinitis pigmentosa (RP). We conducted a case series on ninety-nine 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. Four 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. A 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 to determine if any of the defined AF features provide predictive value for therapeutic responses.

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