Early Structure-Function Correlates in Neovascular Age-Related Macular Degeneration Using Artificial Intelligence-Derived OCT Biomarkers.

Virginia Mares^1,2, Stefan Sacu¹, Sophie Frank-Publig¹, Anna Eidenberger¹, Philipp Fuchs¹, Leonard M Coulibaly¹, Magdalena Baratsits¹, Georg Faustmann³, Markus Gumpinger³, Emese Sükei³, Hrvoje Bogunovic³, Gregor S Reiter¹, Oliver Leingang⁴, Alexandra Miere⁵, Catherine Creuzot-Garcher⁶, Laurent Kodjikian⁷, Vincent Gualino⁸, Benjamin Wolff⁹, Ulrike Scheschy¹⁰, Ursula Schmidt-Erfurth¹

¹Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

²Department of Ophthalmology, Federal University of Minas Gerais, Belo Horizonte, Brazil.

³Department of Ophthalmology, Christian Doppler Lab for Artificial Intelligence in Retina, Medical University of Vienna, Austria.

⁴RetInSight, Vienna, Austria.

⁵Department of Ophthalmology, Intercity Hospital of Créteil, University Paris-Est Créteil, France.

⁶Department of Ophthalmology, Dijon University Hospital, Dijon, France.

⁷Department of Ophthalmology, Croix Rousse University Hospital, Hospices Civils de Lyon, Lyon, France.

⁸Department of Ophthalmology, Clinique Honoré-Cave, Montauban, France.

⁹Maison Rouge Eye Center, Strasbourg, France.

¹⁰Department of Ophthalmology, Horn Regional Hospital, Horn, Austria.

PubMed PMC DOI PDF

Abstract

PURPOSE: To correlate automated artificial intelligence-based retinal fluid quantification with ellipsoid zone (EZ) thickness and loss, macular neovascularization (MNV) type, and visual function. DESIGN: This is a post hoc analysis of a prospective, real-world, multicenter clinical trial. SUBJECTS: Patients with active neovascular age-related macular degeneration (nAMD) were included. METHODS:…

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