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I. Gorczynska, V. J. Srinivasan, J. J. Liu, R. W. Chen, E. Reichel, J. S. Duker, M. Wojtkowski, J. S. Schuman, J. G. Fujimoto; Characterization of Non-Exudative AMD With Three-Dimensional UHR OCT and Correlation With Standard Diagnostic Techniques. Invest. Ophthalmol. Vis. Sci. 2007;48(13):5662.
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To characterize non-exudative age related macular degeneration (AMD) using high-speed, ultrahigh resolution (UHR) Fourier / spectral domain OCT. To correlate OCT findings with results of standard ophthalmic examination and investigate approaches for enhancing diagnosis using information on photoreceptor layer and RPE morphology.
A high-speed UHR OCT prototype instrument (~3.5 µm axial resolution, 25,000 axial scans per second) was used to image patients with AMD. 151 eyes of 79 patients with AMD were examined. 61 eyes were diagnosed with non-exudative AMD. Three dimensional OCT (3D-OCT) data were acquired. OCT fundus images were created to display individual retinal layers or subsets of layers in an en-face image. Results were correlated with fundus photography and fluorescein angiography.
Analysis was performed in a subgroup of patients with non-exudative AMD. Clinical findings included drusen, pigmentary RPE changes, photoreceptor and RPE atrophy. Clinical findings were correlated with cross-sectional features on OCT images. Different types of clinically distinguishable drusen can be classified into groups depending on their cross-sectional characteristics. OCT images can assess the degree of confluence of drusen, condition of the RPE and photoreceptor layer overlying the deposits or the degree of disruption of inner retinal layers.
High-speed UHR OCT imaging enables detailed analysis of features characteristic of non-exudative AMD and correlates well with known clinical pathology. In addition it provides information on drusen and tissue microstructure which cannot be obtained from standard ophthalmic diagnostics. The ability to precisely correlate OCT findings with clinical examination may enable development of diagnostic standards and risk categories of progression to advanced forms of AMD. Systematic analysis of these changes in longitudinal studies may identify early markers for disease progression.
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