Bindewald A, Schmitz-Valckenberg S, Jorzik J J, Dolar-Szczasny J, Sieber H, Keilhauer C, Weinberger A W A, Dithmar S, Pauleikhoff D, Mansmann U, Wolf S, Holz F G
Department of Ophthalmology, University of Bonn, Ernst-Abbe-Strasse 2, D-53127 Bonn, Germany.
Br J Ophthalmol. 2005 Jul;89(7):874-8. doi: 10.1136/bjo.2004.057794.
To describe and classify patterns of abnormal fundus autofluorescence (FAF) in the junctional zone of geographic atrophy (GA) in patients with age related macular degeneration.
Digital FAF images were recorded in 164 eyes of 107 patients using a confocal scanning laser ophthalmoscope (cSLO; excitation 488 nm, detection above 500 nm) as part of a prospective multicentre natural history study (FAM Study). FAF images were obtained in accordance with a standardised protocol for digital image acquisition and generation of mean images after automated alignment.
Image quality was sufficient for classification of FAF patterns in 149 eyes (90.9%) with lens opacities being the most common reason for insufficient image quality. Abnormal FAF outside GA in 149 eyes was classified into four patterns: focal (12.1%), banded (12.8%), patchy (2.0%), and diffuse (57.0%), whereby 12.1% had normal background FAF in the junctional zone. In 4% there was no predominant pattern. The diffuse pattern was subdivided into four groups including reticular (4.7%), branching (27.5%), fine granular (18.1%), and fine granular with peripheral punctate spots (6.7%).
Different phenotypic patterns of abnormal FAF in the junctional zone of GA can be identified with cSLO FAF imaging. These distinct patterns may reflect heterogeneity at a cellular and molecular level in contrast with a non-specific ageing process. A refined phenotypic classification may be helpful to identify prognostic determinants for the spread of atrophy and visual loss, for identification of genetic risk factors as well as for the design of future interventional trials.
描述并分类年龄相关性黄斑变性患者地图样萎缩(GA)交界区异常眼底自发荧光(FAF)的模式。
作为一项前瞻性多中心自然史研究(FAM研究)的一部分,使用共焦扫描激光检眼镜(cSLO;激发波长488nm,检测波长500nm以上)记录了107例患者164只眼的数字FAF图像。根据标准化的数字图像采集方案获取FAF图像,并在自动对齐后生成平均图像。
149只眼(90.9%)的图像质量足以对FAF模式进行分类,晶状体混浊是图像质量不足的最常见原因。149只眼中GA以外的异常FAF被分为四种模式:局灶性(12.1%)、带状(12.8%)、斑片状(2.0%)和弥漫性(57.0%),其中12.1%的交界区背景FAF正常。4%的病例没有主要模式。弥漫性模式又细分为四组,包括网状(4.7%)、分支状(27.5%)、细颗粒状(18.1%)和伴有周边点状斑点的细颗粒状(6.7%)。
通过cSLO FAF成像可以识别GA交界区异常FAF的不同表型模式。与非特异性衰老过程相比,这些不同模式可能反映了细胞和分子水平的异质性。精细的表型分类可能有助于识别萎缩扩展和视力丧失的预后决定因素、识别遗传风险因素以及设计未来的干预试验。