University of Wisconsin–Madison

Category: Posters

Characterizing Intermediate AMD Biomarkers on OCT: Methods and Reproducibility

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Jennifer Heathcote, Jordan Winkler, Jeong W. Pak, Rick Voland, Barbara Blodi, Amitha Domalpally Abstract Purpose: To define evaluation criteria and assess intergrader agreement for intermediate Age-related Macular Degeneration (iAMD) optical coherence tomography (OCT) biomarkers in eyes with nonexudative AMD. Methods: Trained graders independently evaluated Heidelberg OCT volume scans (20°x20°, 97 B scans) in eyes with …

Comparison of Measurement Techniques for Photoreceptor Loss in Geographic Atrophy

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Maria Schulz, Sairi Zhang, Jeong W. Pak, Rick Voland, Mark Banghart, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: This study compares two methods for assessing ellipsoid zone (EZ) loss on optical coherence tomography (OCT): traditional segmentation of EZ layers and edge detection of absent EZ. Automated assessments of EZ loss are used as endpoints in …

Ellipsoid Zone Integrity Index: A Novel OCT Biomarker in AMD

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Bethany M. Erb, Elaine Botros, Thomas F. Saunders, Anna-Maria Haas, Rick Voland, Rachel Linderman, Barbara A. Blodi, Amitha Domalpally, Karl G. Csaky Abstract Purpose: Change in geographic atrophy (GA) area as measured by fundus autofluorescence (FAF), a primary outcome in clinical trials, does not correlate with visual function. Preservation of photoreceptors, particularly in the foveal …

Multimodal Imaging Assessment of Risk Factors for GA Progression

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Thomas Saunders, Jeong W. Pak, Rick Voland, Karl G. Csaky, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: Geographic atrophy (GA) is a multifactorial disease posing challenges in predicting progression. While prior studies have identified key risk factors on color photography and fundus autofluorescence (FAF), advancements in OCT have introduced novel biomarkers that warrant exploration. This …

AI-enabled multi-disease OCT segmentation

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Caleb Pacheco, Rachel E. Linderman, Madeline Pflasterer-Jennerjohn, Mark Banghart, Robert D. Slater, Roomasa Channa, Amitha Domalpally Abstract Purpose: To develop an artificial intelligence (AI) enabled OCT segmentation algorithm specifically tailored for diabetic macular edema (DME), capable of consistent performance across different OCT devices, addressing critical challenges in ophthalmic diagnostics. A secondary objective was to evaluate …

OCT Risk Factors for Geographic Atrophy Progression

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Jeong W. Pak, Thomas Saunders, Rick Voland, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: Geographic atrophy (GA) is a complex disease with challenges in predicting its progression. While previous studies have highlighted key risk factors using fundus color and autofluorescence imaging, advancements in OCT have introduced novel biomarkers that require further investigation. This study aims …

Deep Learning-Based Quantification of GA Area on OCT Scans

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Rushi N. Mankad, Madeline Pflasterer-Jennerjohn, Rachel E. Linderman, Robert Slater, Amitha Domalpally Abstract Purpose: The consensus of Atrophy (CAM) criteria provides a robust framework for evaluating geographic atrophy (GA) with optical coherence tomography (OCT) scans. However, the manual assessment of GA area based on these criteria is highly time-consuming and labor-intensive. This study aims to …

Artificial Intelligence (AI) enabled pre-screening for Diabetic Retinopathy (DR) clinical trials

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Nancy Barrett, Robert Slater, Rachel E. Linderman, Rick Voland, Claire Calhoun, Jennifer K. Sun, Barbara A. Blodi, Amitha Domalpally, with the DRCR Retina Network Abstract Purpose: Preventive strategies to slow progression of diabetic retinopathy (DR) are currently of interest.Clinical trials typically enroll patients at high risk of progression based on DR severity scores (DRSS), oftenmoderate …

Characterization of OCT biomarkers and endpoints in intermediate AMD

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Jordan Winkler, Jennifer Heathcote, Jeong W. Pak, Rick Voland, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: To define evaluation criteria and intergrader agreement for assessing intermediate Age-related Macular Degeneration (iAMD) optical coherence tomography (OCT) biomarkers and endpoints in eyes with nonexudative AMD, relevant for clinical trials and AI development. Methods: Trained graders independently evaluated Heidelberg …

Diabetic Retinal Disease Characterization: Electronic Health Record Data Compared To Reading Center Grading Of Fundus Images

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Kristi Dohm, Mozhdeh Bahrainian, Nancy Barrett, Rick Voland, John Garrett, Jomol Mathew, Michael D. Abramoff, Barbara Blodi, Amitha Domalpally, Roomasa Channa Abstract Purpose: Validity of diabetic retinal disease (DRD) severity level as documented in electronic health record (EHR) data is crucial for research and patient care. Our goal was to assess the validity of DRD …