AIM: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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.
AIM: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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.
Authors: F G Holz; F Schütt; J Kopitz; G E Eldred; F E Kruse; H E Völcker; M Cantz Journal: Invest Ophthalmol Vis Sci Date: 1999-03 Impact factor: 4.799
Authors: F G Holz; C Bellmann; M Margaritidis; F Schütt; T P Otto; H E Völcker Journal: Graefes Arch Clin Exp Ophthalmol Date: 1999-02 Impact factor: 3.117
Authors: Srilaxmi Bearelly; Aziz A Khanifar; David E Lederer; Jane J Lee; Jason H Ghodasra; Sandra S Stinnett; Scott W Cousins Journal: Retina Date: 2011-01 Impact factor: 4.256
Authors: Jonathan P Greenberg; Tobias Duncker; Russell L Woods; R Theodore Smith; Janet R Sparrow; François C Delori Journal: Invest Ophthalmol Vis Sci Date: 2013-08-21 Impact factor: 4.799
Authors: Hendrik P N Scholl; Monika Fleckenstein; Lars G Fritsche; Steffen Schmitz-Valckenberg; Arno Göbel; Christine Adrion; Christine Herold; Claudia N Keilhauer; Friederike Mackensen; Andreas Mössner; Daniel Pauleikhoff; Andreas W A Weinberger; Ulrich Mansmann; Frank G Holz; Tim Becker; Bernhard H F Weber Journal: PLoS One Date: 2009-10-12 Impact factor: 3.240