Abstract

DO.07.04

Comparison of Stratus and high-resolution optical coherence tomography in follow-up of patients with neovascular age-related macular degeneration treated with anti-VEGF therapy

Geitzenauer W., Michels S., Weigert G., Prager F., Ahlers C., Bolz M., Schmidt-Erfurth U.
Universitätsklinik für Augenheilkunde und Optometrie, Medizinische Universität Wien

Objective: To document changes in neovascular age-related macular degeneration (AMD) in patients treated with anti-VEGF therapy using Stratus optical coherence tomography (OCT) and high resolution optical coherence tomography (HR-OCT).
Methods: 14 eyes of 14 patients with choroidal neovascularization were treated with three initial intravitreal bevacizumab injections at four-week intervals. At baseline and at each follow-up visit ETDRS visual acuity and 1mm central retinal thickness (CRT) using Stratus OCT were recorded. Additionally, examination with a HR-OCT instrument based on spectral domain technology provided by Carl Zeiss Meditec was performed. A volume of about 6mm x 6mm x 2mm was scanned via raster scan technique with an axial resolution of 5µm. Retreatment was based on change in visual acuity and central retinal thickness in Stratus OCT.
Results: Reduction of CRT in Stratus OCT as well as an increase in visual acuity was seen in all patients. At month three CRT was significantly reduced by 126µm. Mean retinal thickness and total retinal volume measured by HR-OCT decreased from 343µm/12.1µm³ at baseline to 269µm/9.7µm³ at month three. In addition, HR-OCT allowed a more detailed visualization of the central retina. Segmentation of the retinal pigment epithelium showed regression of pigment epithelial detachments following intravitreal bevacizumab within three months follow-up.
Conclusions: Stratus OCT and HR-OCT are valuable tools in the follow-up of patients treated with anti-VEGF therapy. The higher acquisition speed provided by the new HR-OCT technology allows acquisition and analysis of retinal volumes as well as a more detailed calculation of retinal thickness and retinal volumes through the automated segmentation.

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