Affiliation:
1. Carle Illinois College of Medicine University of Illinois Urbana‐Champaign Urbana Illinois USA
2. Department of Electrical and Computer Engineering University of Illinois Urbana‐Champaign Urbana Illinois USA
3. Department of Bioengineering University of Illinois Urbana‐Champaign Urbana Illinois USA
4. Beckman Institute for Advanced Science and Technology University of Illinois Urbana‐Champaign Urbana Illinois USA
5. NIH Center for Label‐free Imaging and Multiscale Biophotonics (CLIMB) University of Illinois Urbana‐Champaign Urbana Illinois USA
Abstract
AbstractWe analyzed ophthalmic retinal optical coherence tomography (OCT) images from patients with Alzheimer's disease (AD) to identify retinal layer thickness and ratio changes that may serve as image‐based biomarkers for the disease. One three‐dimensional volume before and one after diagnosis for each of 48 patients were segmented to identify retinal layer and total retinal thicknesses. Between before‐ and after‐diagnosis retinal OCT images, there were significant thickness changes in six of 10 (60%) retinal layers across all 48 patients. Through a comparison with age‐matched healthy subjects, the significant changes were attributed to AD only (NFL and PR2 layers), age only (GCL, IPL, and RPE layers), or both AD and age (OPL layer). Analyzing ratios of retinal layer thicknesses, 53 of 90 (58.89%) ratios had significant changes. The four independently nonsignificant layers were assessed to be affected by neither AD nor age (INL layer) or both AD and age (ELM, PR1, and BM layers). The demonstrated image segmentation, measurement, and ratiometric analysis of retinal layers in AD patients may yield a noninvasive OCT image‐based retinal biomarker that can be used to detect retinal changes associated with this disease.
Funder
Air Force Office of Scientific Research
National Institutes of Health
Cited by
1 articles.
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