Sectoral segmentation of retinal amyloid imaging in subjects with cognitive decline
| Autor: | Yosef Koronyo, Steven Verdooner, Ryan Rosenberry, Dale S. Sherman, Oana M. Dumitrascu, Maya Koronyo-Hamaoui, Ayesha Sherzai, Keith L. Black, Kenneth O. Johnson, Patrick D. Lyden, Julia Sheyn, Alan D. Czeszynski, Sally A. Frautschy, Susan Cheng, Tania Torbati, Dean Sherzai |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Amyloid Amyloid beta lcsh:Geriatrics lcsh:RC346-429 Retia 03 medical and health sciences chemistry.chemical_compound neurodegenerative disease 0302 clinical medicine Ophthalmology medicine Cognitive decline lcsh:Neurology. Diseases of the nervous system 030304 developmental biology 0303 health sciences Retina confocal scanning ophthalmoscope biology business.industry Amyloidosis Montreal Cognitive Assessment Retinal Alzheimer's disease medicine.disease amyloid beta lcsh:RC952-954.6 Psychiatry and Mental health medicine.anatomical_structure chemistry brain volumetric analysis biology.protein Biomarker (medicine) Neurology (clinical) business 030217 neurology & neurosurgery |
| Zdroj: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020) |
| ISSN: | 2352-8729 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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