2 Works
Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning
Gabriella Moraes, Dun Jack Fu, Marc Wilson, Hagar Khalid, Siegfried K. Wagner, Edward Korot, Daniel Ferraz, Livia Faes, Christopher J. Kelly, Terry Spitz, Praveen J. Patel, Konstantinos Balaskas, Tiarnan D. L. Keenan, Pearse A. Keane & Reena Chopra
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantification of optical coherence tomography (OCT) scans to a large real-world dataset of eyes with neovascular age-related macular degeneration (AMD), and make the raw segmentation output data openly available for further research. Design: Retrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database. Participants: 2473 first-treated eyes and another 493 second-treated eyes that commenced therapy for neovascular AMD between June 2012...
Data from: Ten-year survival trends of neovascular age-related macular degeneration at first presentation
Cristina Arpa, Hagar Khalid, Shruti Chandra, Siegfried Wagner, Katrin Fasler, Livia Faes, Pakinee Pooprasert, Reena Chopra, Gabriella Moraes, Konstantinos Balaskas, Pearse Keane, Sobha Sivaprasad & Dun Jack Fu
Background: To describe 10-year trends in visual outcomes, anatomical outcomes, and treatment burden of patients receiving anti-vascular endothelial growth factor (VEGF) therapy for neovascular age-related macular degeneration (nAMD). Methods: Retrospective cohort study of treatment-naïve, first-affected eyes with nAMD started on ranibizumab before January 1, 2009. The primary outcome was time to best-corrected visual acuity (BCVA) falling ≤ 35 Early Treatment Diabetic Retinopathy Study (ETDRS) letters after initiating anti-VEGF therapy. Secondary outcomes included time to BCVA...