Mota Sergio Hernández-Da, Lima-Gómez Virgilio, Rodríguez-Ayala Ernesto, Fromow-Guerra Jorge Jans, Melo-Granados Enrique Alfonso Roig
Clínica David, Ophthalmologic Unit, Morelia, Michoacán; Ophthalmology Department, Ciudad de México, Mexico.
Secretaría de Salud, Hospital Juárez de México, Ophthalmology Department, Ciudad de México, Mexico.
Gac Med Mex. 2019;155(5):458-462. doi: 10.24875/GMM.M20000332.
Patients with diabetic macular edema can develop fundus autofluorescence alterations; thus far, these alterations have been more widely studied with scanning or confocal laser systems.
To describe and classify fundus autofluorescence abnormal patterns in patients with diabetic macular edema using the fundus autofluorescence system with a flash camera.
Observational, retrospective, cross-sectional, descriptive study. Fundus autofluorescence digital images of non-comparative cases with untreated diabetic macular edema, obtained and stored with a flash camera system, were assessed. Inter-observer variability was evaluated.
37 eyes of 20 patients were included. Lens opacity was the most common cause of inadequate image quality. Five different fundus autofluorescence patterns were observed: decreased (13%), normal (40%), single-spot hyper-autofluorescent (17 %), multiple-spot hyper-autofluorescent (22 %) and plaque-like hyper-autofluorescent (8 %). The kappa coefficient was 0.906 (p = 0.000).
Different fundus autofluorescence phenotypic patterns are observed with flash camera systems in patients with diabetic macular edema. A more accurate phenotypic classification could help establish prognostic factors for visual loss or for the design of clinical trials for diabetic macular edema.
糖尿病性黄斑水肿患者可出现眼底自发荧光改变;迄今为止,这些改变在扫描或共聚焦激光系统中得到了更广泛的研究。
使用带闪光相机的眼底自发荧光系统描述和分类糖尿病性黄斑水肿患者的眼底自发荧光异常模式。
观察性、回顾性、横断面、描述性研究。评估通过闪光相机系统获取并存储的未经治疗的糖尿病性黄斑水肿非对照病例的眼底自发荧光数字图像。评估观察者间的变异性。
纳入20例患者的37只眼。晶状体混浊是图像质量不佳的最常见原因。观察到五种不同的眼底自发荧光模式:减弱型(13%)、正常型(40%)、单点高自发荧光型(17%)、多点高自发荧光型(22%)和斑块状高自发荧光型(8%)。kappa系数为0.906(p = 0.000)。
在糖尿病性黄斑水肿患者中,使用闪光相机系统观察到不同的眼底自发荧光表型模式。更准确地进行表型分类有助于确定视力丧失的预后因素或设计糖尿病性黄斑水肿的临床试验。