University of Wisconsin–Madison

Category: Key Posters

Prediction of Geographic Atrophy Enlargement using Various Deep Learning Approaches (2023)

Amitha Domalpally, Robert Slater, Mark Banghart, Roomasa Channa, Donald S. Fong, Barbara Blodi Abstract Purpose: Fundus autofluorescence (FAF) imaging is used to monitor geographic atrophy (GA) growth inclinical trials. There is significant variability in the growth rate of GA with studies reporting between 0.5 – 2.6mm/year. Multiple imaging risk factors for rapid enlargement have been …

Longitudinal Analysis of Age-Related Macular Degeneration in the AMD Ryan Initiative Study (ARIS) (2023)

Jeong W. Pak, Gelique Ayala, Cynthia Hurtenbach, Christine Orndahl, Tiarnan DL Keenan, Frederick L. Ferris, C. P Wilkinson, Traci Clemons, Emily Y. Chew, Amitha Domalpally Abstract Purpose: ARIS is a 5-year observational study of participants with early AMD or reticular pseudodrusen (RPD) to identify novel biomarkers of disease progression. The AMD characteristics were followed longitudinally …

Comparison of Standard 7-Field, Clarus, and Optos Ultra-Widefield Imaging Systems for Diabetic Retinopathy Assessment (2023)

Nancy Barrett, Nicole Duncan, Christian Kim, Sheila Watson, Andy Ewen, Lauren Kroth, Rick Voland, Amitha Domalpally, Barbara Blodi Abstract Purpose: Advances in ultrawide-field color (UWF-C) imaging technology have enabled visualization of the entire retina. This study aims to determine whether diabetic retinopathy (DR) assessment with UWF-C imaging is comparable with the current gold standard, standard …

Visual Correlation of OCT-Angiographic Features in Neovascular Age-Related Macular Degeneration (2023)

Kevin Elwood, Rachel Linderman, Jeong Pak, Rick Voland, Amitha Domalpally, Barbara Blodi Abstract Purpose: OCT-Angiography (OCTA) presents numerous features with uncertain clinical significance in neovascular age-related macular degeneration (NVAMD). We performed a retrospective, observational, cross-sectional, clinical study to identify potential associations between OCTA features and visual acuity (VA) in eyes treated for NVAMD. Methods: Study …

Multimodal Assessment of Incomplete Retinal Pigment Epithelial Outer Retinal Atrophy (iRORA) and Nascent Geographic Atrophy (nGA) in Age-Related Macular Degeneration (2023)

Gelique Ayala, Jeong Pak, Kenny Taylor, Cynthia Hurtenbach, Barbara Blodi, and Amitha Domalpally Abstract Purpose: To compare SD-OCT defined iRORA and nGA lesions to Fundus Autofluorescence (FAF) and Color Fundus Photography (CFP) Methods: Subjects enrolled in the Age-Related Eye Disease Study 2 (AREDS2) from the University of Wisconsin were included. Subjects underwent SD-OCT, FAF and …

A Comparison of Neovascular Age-Related Macular Degeneration Features in OCT Angiography and Fluorescein Angiography (2013)

Jordan Winkler, Rachel Linderman, Jeong Pak, Mary Wilda, Rick Voland, Amitha Domalpally, Barbara Blodi Abstract Purpose: Numerous pathological features in neovascular age-related macular degeneration (nAMD) can be assessed on both OCT-Angiography (OCTA) and fluorescein angiography (FA). We sought to compare macular neovascularization (MNV) and lesion area between OCTA and FA. Methods: OCTA and FA images …

Assessing Disorganization of Retinal Inner Layers in Long Term Follow Up of SCORE2 Trial (2023)

Jonathan Le, Barbara Blodi, Amitha Domalpally, Rick Voland, Paul VanVeldhuisen, Neal Oden, Michael Ip, Ingrid U. Scott Abstract Purpose: To determine the association of disorganization of the retinal inner layers (DRIL) with central subfield thickness (CST) and visual acuity letter score (VALS) among participants of the Study of COmparative Treatments for REtinal Vein Occlusion 2 …

Imaging Features of Intraretinal Microvascular Abnormalities in Diabetic Retinopathy (2023)

Christian Kim, Jeong W. Pak, Nancy Barrett, Nicole Duncan, Mary K. Wilda, Kristi Dohm, Jen Heathcote, Barbara. A. Blodi, Rick Voland, Amitha Domalpally Abstract Purpose: To compare characteristics of intraretinal microvascular abnormalities (IRMA) on color fundusphotography (CFP) to UWF-FA. We hypothesize that IRMA on CFP have similar characteristics tocorresponding lesions seen on UWF-FA. Methods: Participants …

Influence of Race on Training Data Quality for Artificial Intelligence (AI) Algorithms (2022)

Amitha Domalpally, Rick Voland, Robert Slater, Ellie Corkery, Pamela Vargo, Rebecca Kuhtz, James Reimers, Roomasa Channa, Barbara Blodi Abstract Purpose: Diabetic retinopathy (DR) severity level is evaluated from stereoscopic 7-field color photographs by masked graders at the Wisconsin Reading Center and used as a reference standard for training and validation of AI algorithms. Training data …

Implementation of a Large-Scale Retinal Image Curation Workflow Using Deep Learning Framework (2022)

Rohit Balaji, Jen Heathcote, Robert Slater, Nancy Barrett, Rick Voland, Vesna Tomic, Jared McDonald, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: The development of artificial intelligence (AI) algorithms for analyzing retinal pathologies requires training based on well-organized, labeled images. The goals of this project are to develop an AI model to curate 7-field retinal photographs …