Correlation between PET-derived cerebral amyloid status and retinal image features using a hyperspectral fundus camera

Sharafi, Sayed Mehran; Sylvestre, Jean‐Philippe; Chevrefils, Claudia; Soucy, Jean‐Paul; Lesage, Frédéric

doi:10.1117/12.2508557

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…On fundus photography, several vascular abnormalities had been reported in AD, such as venular narrowing, diminished vascular branching, increased tortuosity, and decreased arterial fractal dimension (19,(26)(27)(28)(29) leading to the recent development of retinal photography-based deep learning algorithms to cost-effectively screen for AD in community settings (30,31). Furthermore, retinal vascular tortuosity was proposed to improve the detection of the cerebral amyloid status as determined by 8F-florbetaben PET (32). Amyloid β-protein (Aβ) is an early core biomarker of AD, a prerequisite for AD diagnosis, and the target of AD-specific therapies (33), including the recently approved anti-Aβ monoclonal antibodies that bind with high affinity to Aβ plaque and/or soluble protofibrils (34,35).…”

Section: Introductionmentioning

confidence: 99%

Distinctive retinal peri-arteriolar versus peri-venular amyloid plaque distribution correlates with the cognitive performance

Dumitrascu,

Doustar,

Fuchs

et al. 2024

Preprint

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Introduction: The vascular contribution to Alzheimer's disease (AD) is tightly connected to cognitive performance across the AD continuum. We topographically describe retinal perivascular amyloid plaque (AP) burden in subjects with normal or impaired cognition. Methods: Using scanning laser ophthalmoscopy, we quantified retinal peri-arteriolar and peri-venular curcumin-positive APs in the first, secondary and tertiary branches in twenty-eight subjects. Perivascular AP burden among cognitive states was correlated with neuroimaging and cognitive measures. Results: Peri-arteriolar exceeded peri-venular AP count (p<0.0001). Secondary branch AP count was significantly higher in cognitively impaired (p<0.01). Secondary small and tertiary peri-venular AP count strongly correlated with clinical dementia rating, hippocampal volumes, and white matter hyperintensity count. Discussion: Our topographic analysis indicates greater retinal amyloid accumulation in the retinal peri-arteriolar regions overall, and distal peri-venular regions in cognitively impaired individuals. Larger longitudinal studies are warranted to understand the temporal-spatial relationship between vascular dysfunction and perivascular amyloid deposition in AD.

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Section: Introductionmentioning

confidence: 99%

Distinctive retinal peri-arteriolar versus peri-venular amyloid plaque distribution correlates with the cognitive performance

Dumitrascu,

Doustar,

Fuchs

et al. 2024

Preprint

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Performance of Image Enhancement Methods for Diabetic Retinopathy based on Retinal Fundus Image

Sharif

Harun

Yusof

et al. 2020

2020 IEEE 10th Symposium on Computer Applications &Amp; Industrial Electronics (ISCAIE)

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The Crosstalk Between Amyloid-β, Retina, and Sleep for the Early Diagnosis of Alzheimer’s Disease: A Narrative Review

De Guia,

Eslick,

Naismith

et al. 2024

ADR

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Alzheimer’s disease (AD) is the most common type of dementia, which is characterised by progressive memory loss and accumulation of hallmark markers amyloid-β (Aβ) and neurofibrillary tangles in the diseased brain. The current gold standard diagnostic methods have limitations of being invasive, costly, and not easily accessible. Thus, there is a need for new avenues, such as imaging the retina for early AD diagnosis. Sleep disruption is symptomatically frequent across preclinical and AD subjects. As circadian activity, such as the sleep-wake cycle, is linked to the retina, analysis of their association may be useful additions for achieving predictive AD diagnosis. In this narrative review, we provide an overview of human retina studies concerning the deposition of Aβ, the role of the retina in sleep-wake cycle, the disruption of sleep in AD, and to gather evidence for the associations between Aβ, the retina, and sleep. Understanding the mechanisms behind the associations between Aβ, retina, and sleep could assist in the interpretation of retinal changes accurately in AD.

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Correlation between PET-derived cerebral amyloid status and retinal image features using a hyperspectral fundus camera

Cited by 3 publications

References 24 publications

Distinctive retinal peri-arteriolar versus peri-venular amyloid plaque distribution correlates with the cognitive performance

Distinctive retinal peri-arteriolar versus peri-venular amyloid plaque distribution correlates with the cognitive performance

Performance of Image Enhancement Methods for Diabetic Retinopathy based on Retinal Fundus Image

The Crosstalk Between Amyloid-β, Retina, and Sleep for the Early Diagnosis of Alzheimer’s Disease: A Narrative Review

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