Sectoral segmentation of retinal amyloid imaging in subjects with cognitive decline
Oana M. Dumitrascu, Patrick D. Lyden, Tania Torbati, Julia Sheyn, Ayesha Sherzai, Dean Sherzai, Dale Sherman, Ryan Rosenberry, Susan Cheng, Ken Johnson, Alan Czeszynski, Steven Verdooner, Sally A. Frautschy, Keith L. Black, Yosef Koronyo, Maya Koronyo‐Hamaoui
Abstract
INTRODUCTION: Despite advances in imaging retinal amyloidosis, a quantitative and topographical investigation of retinal amyloid beta burden in patients with cognitive decline has never been reported. METHODS: We used the specific amyloid-binding fluorophore curcumin and laser ophthalmoscopy to assess retinal amyloid imaging (RAI) in 34 patients with cognitive decline. We automatically quantified retinal amyloid count (RAC) and area in the superotemporal retinal sub-regions and performed correlation analyses with cognitive and brain volumetric parameters. RESULTS: = .04; Cohen d = 0.83). CONCLUSION: Quantitative RAI is a feasible technique and PMP RAC may predict HV. Future larger studies should determine RAI's potential as a biomarker of early AD.