Moritz Lindner1,2,3, Sebastian Kosanetzky1, Maximilian Pfau1, Jennifer Nadal4, Lukas A Gördt1, Steffen Schmitz-Valckenberg1, Matthias Schmid4, Frank G Holz1, Monika Fleckenstein1. 1. Department of Ophthalmology, University of Bonn, Bonn, Germany. 2. The Nuffield Laboratory of Ophthalmology, Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom. 3. Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom. 4. Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.
Abstract
Purpose: To assess the impact of distinct atrophy border characteristics based on spectral-domain optical coherence tomography (SD-OCT) imaging on local atrophy progression. Methods: Patients with geographic atrophy (GA) secondary to AMD were recruited in the context of the Longitudinal Fundus Autofluorescence in Age-related Macular Degeneration and Directional Spread in Geographic Atrophy studies (NCT00393692, NCT02051998). Horizontal and vertical SD-OCT scans were acquired at sequential visits using a device allowing for anatomically accurate registration of follow-up to baseline scans. For quantification of local atrophy progression, the lateral spread of GA (LSGA) was measured. Further, border types were independently graded. Comparison of LSGA between the different border types was performed using linear mixed-effects models. Results: Seventy-two eyes of 49 patients (27 female) aged 74.0 years (Inter quartile range [IQR], 68.1-79.0) were included into this analysis. A total of 258 border sections were analyzed longitudinally over a median period of 1.2 years (IQR, 0.9-1.6). At baseline, 17.1% borders were classified as 'regular', 47.7% as 'irregular', and 35.3% as 'splitting'. Sixty-two percent of the eyes exhibited more than one border type. LSGA was slowest in 'regular' borders (62.85 ± 25.29 μm/y), followed by 'irregular' borders (91.15 ± 15.05 μm/y) and fastest in 'splitting' borders (183.15 ± 18.17 μm/y). Differences between the 'splitting' and each other border type were statistically significant (P < 0.001). Conclusions: The results indicate that SD-OCT-based assessment of local GA border morphology can serve as a predictor for local atrophy progression. These observations help to better understand the natural history and potential pathogenetic factors of GA development and progression.
Purpose: To assess the impact of distinct atrophy border characteristics based on spectral-domain optical coherence tomography (SD-OCT) imaging on local atrophy progression. Methods:Patients with geographic atrophy (GA) secondary to AMD were recruited in the context of the Longitudinal Fundus Autofluorescence in Age-related Macular Degeneration and Directional Spread in Geographic Atrophy studies (NCT00393692, NCT02051998). Horizontal and vertical SD-OCT scans were acquired at sequential visits using a device allowing for anatomically accurate registration of follow-up to baseline scans. For quantification of local atrophy progression, the lateral spread of GA (LSGA) was measured. Further, border types were independently graded. Comparison of LSGA between the different border types was performed using linear mixed-effects models. Results: Seventy-two eyes of 49 patients (27 female) aged 74.0 years (Inter quartile range [IQR], 68.1-79.0) were included into this analysis. A total of 258 border sections were analyzed longitudinally over a median period of 1.2 years (IQR, 0.9-1.6). At baseline, 17.1% borders were classified as 'regular', 47.7% as 'irregular', and 35.3% as 'splitting'. Sixty-two percent of the eyes exhibited more than one border type. LSGA was slowest in 'regular' borders (62.85 ± 25.29 μm/y), followed by 'irregular' borders (91.15 ± 15.05 μm/y) and fastest in 'splitting' borders (183.15 ± 18.17 μm/y). Differences between the 'splitting' and each other border type were statistically significant (P < 0.001). Conclusions: The results indicate that SD-OCT-based assessment of local GA border morphology can serve as a predictor for local atrophy progression. These observations help to better understand the natural history and potential pathogenetic factors of GA development and progression.
Authors: Yue Yu; Eric M Moult; Siyu Chen; Qiushi Ren; Philip J Rosenfeld; Nadia K Waheed; James G Fujimoto Journal: Biomed Opt Express Date: 2020-08-20 Impact factor: 3.732
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Authors: Khashayar Nattagh; Hao Zhou; Nicholas Rinella; Qinqin Zhang; Yining Dai; Katharina G Foote; Cathrine Keiner; Michael Deiner; Jacque L Duncan; Travis C Porco; Ruikang K Wang; Daniel M Schwartz Journal: Transl Vis Sci Technol Date: 2020-06-03 Impact factor: 3.283