Audrey Giocanti-Auregan1, Ramin Tadayoni2, Franck Fajnkuchen3, Pauline Dourmad4, Stéphanie Magazzeni5, Salomon Y Cohen6. 1. Department of Ophthalmology, Hôpital Avicenne, Assistance Publique des Hôpitaux de Paris (AP-HP), and Paris 13 University, Bobigny, France 2Département Hospitalo-Universitaire Vision et Handicaps, Paris, France. 2. Département Hospitalo-Universitaire Vision et Handicaps, Paris, France 3Department of Ophthalmology, Hôpital Lariboisière, AP-HP and Paris 7 University, Paris, France. 3. Department of Ophthalmology, Hôpital Avicenne, Assistance Publique des Hôpitaux de Paris (AP-HP), and Paris 13 University, Bobigny, France 2Département Hospitalo-Universitaire Vision et Handicaps, Paris, France 4Centre Ophtalmologique d'Imagerie et de Las. 4. Centre Ophtalmologique d'Imagerie et de Laser, Paris, France. 5. Carl Zeiss Meditec, Marly-le-Roi, France. 6. Centre Ophtalmologique d'Imagerie et de Laser, Paris, France 6Department of Ophthalmology, Hôpital Intercommunal and University Paris-Est-Creteil, Creteil, France.
Abstract
PURPOSE: We determined if the ellipsoid zone (EZ) disruption pattern could be predictive of the geographic atrophy (GA) pattern at 1 year in dry age-related macular degeneration (AMD). METHODS: A retrospective study was done of dry eyes in patients with AMD and GA from July to November 2013. Eyes with previous choroidal neovascularization were excluded. Based on spectral domain optical coherence tomography (SD-OCT), the GA was assessed at each timepoint, using a sub-RPE slab derived from the Cirrus Advanced RPE Analysis software encompassing the RPE (sub-RPE slab). Disruption of the EZ also was assessed at baseline, using en face extraction of a 20-μm-thick slab, 20 μm above the RPE (EZ slab) encompassing the EZ band using two different algorithms (RPE and RPE-fit). The EZ disruption area surrounding GA at baseline was quantified using ImageJ software. Primary endpoint was to identify en face pattern similarities between the baseline EZ disruption and the 1-year GA. Secondary endpoint was to correlate the baseline EZ disruption area surrounding GA with the GA enlargement over 1 year. Statistical analysis was performed using a correlation test (Pearson) and a t-test. RESULTS: We included 37 eyes of 31 patients with dry AMD. En face EZ disruption pattern correlated in two-thirds of cases with the 1-year GA pattern using both algorithms. The EZ disruption area surrounding GA at baseline and GA enlargement over 1 year were poorly correlated when RPE-fit algorithm (R = 0.17) was used. The correlation was still poor using an RPE algorithm (R = 0.38), but increased after selection of eyes without reticular pseudodrusen (R = 0.79). CONCLUSIONS: The EZ disruption pattern could be an indicator for GA pattern progression, but is not a good quantitative tool to predict the size of GA in the overall population over a 1-year period except for patients without reticular pseudodrusen. The results in this specific population must be confirmed by further studies.
PURPOSE: We determined if the ellipsoid zone (EZ) disruption pattern could be predictive of the geographic atrophy (GA) pattern at 1 year in dry age-related macular degeneration (AMD). METHODS: A retrospective study was done of dry eyes in patients with AMD and GA from July to November 2013. Eyes with previous choroidal neovascularization were excluded. Based on spectral domain optical coherence tomography (SD-OCT), the GA was assessed at each timepoint, using a sub-RPE slab derived from the Cirrus Advanced RPE Analysis software encompassing the RPE (sub-RPE slab). Disruption of the EZ also was assessed at baseline, using en face extraction of a 20-μm-thick slab, 20 μm above the RPE (EZ slab) encompassing the EZ band using two different algorithms (RPE and RPE-fit). The EZ disruption area surrounding GA at baseline was quantified using ImageJ software. Primary endpoint was to identify en face pattern similarities between the baseline EZ disruption and the 1-year GA. Secondary endpoint was to correlate the baseline EZ disruption area surrounding GA with the GA enlargement over 1 year. Statistical analysis was performed using a correlation test (Pearson) and a t-test. RESULTS: We included 37 eyes of 31 patients with dry AMD. En face EZ disruption pattern correlated in two-thirds of cases with the 1-year GA pattern using both algorithms. The EZ disruption area surrounding GA at baseline and GA enlargement over 1 year were poorly correlated when RPE-fit algorithm (R = 0.17) was used. The correlation was still poor using an RPE algorithm (R = 0.38), but increased after selection of eyes without reticular pseudodrusen (R = 0.79). CONCLUSIONS: The EZ disruption pattern could be an indicator for GA pattern progression, but is not a good quantitative tool to predict the size of GA in the overall population over a 1-year period except for patients without reticular pseudodrusen. The results in this specific population must be confirmed by further studies.
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