Open AccessSectoral segmentation of retinal amyloid imaging in subjects with cognitive decline
Author(s) -
Dumitrascu Oana M.,
Lyden Patrick D.,
Torbati Tania,
Sheyn Julia,
Sherzai Ayesha,
Sherzai Dean,
Sherman Dale S.,
Rosenberry Ryan,
Cheng Susan,
Johnson Kenneth O.,
Czeszynski Alan D.,
Verdooner Steven,
Frautschy Sally,
Black Keith L.,
Koronyo Yosef,
KoronyoHamaoui Maya
Publication year - 2020
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1002/dad2.12109
Subject(s) - retinal , cognitive decline , biomarker , montreal cognitive assessment , amyloid (mycology) , cognition , medicine , dementia , hippocampal formation , cognitive impairment , ophthalmology , neuroscience , psychology , pathology , disease , biology , biochemistry
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 RAC significantly and inversely correlated with hippocampal volume (HV; r = ‐0.39, P = .04). The proximal mid‐periphery (PMP) RAC and RA areas were significantly greater in patients with Montreal Cognitive Assessment (MOCA) score < 26 ( P = .01; Cohen d = 0.83 and 0.81, respectively). PMP showed significantly more RAC and area in subjects with amnestic mild cognitive impairment (MCI) and Alzheimer's disease (AD) compared to cognitively normal ( P = .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.