Shi, Yonggang

Introduction: Retinal imaging is a non-invasive tool to study both retinal vasculature and neurodegeneration. In this exploratory retinal curcumin-fluorescence imaging (RFI) study, we sought to determine whether retinal vascular features combined with retinal amyloid burden correlate with the neurocognitive status. Methods: We used quantitative RFI in a cohort of patients with cognitive impairment to automatically compute retinal amyloid burden. Retinal blood vessels were segmented, and the vessel tortuosity index (VTI), inflection index, and branching angle were quantified. We assessed the correlations between retinal vascular and amyloid parameters, and cognitive domain Z-scores using linear regression models. Results: Thirty-four subjects were enrolled and twenty-nine (55% female, mean age 64 ± 6 years) were included in the combined retinal amyloid and vascular analysis. Eleven subjects had normal cognition and 18 had impaired cognition. Retinal VTI was discriminated among cognitive scores. The combined proximal mid-periphery amyloid count and venous VTI index exhibited significant differences between cognitively impaired and cognitively normal subjects (0.49 ± 1.1 vs. 0.91 ± 1.4, p = 0.006), and correlated with both the Wechsler Memory Scale-IV and SF-36 mental component score Z-scores (p < 0.05). Conclusion: This pilot study showed that retinal venular VTI combined with the proximal mid-periphery amyloid count could predict verbal memory loss. Future research is needed to finesse the clinical application of this retinal imaging-based technology.

Abstract INTRODUCTION: Retinal imaging is a non-invasive tool to study retinal vasculature and neurodegeneration. Patients with mild cognitive impairment (MCI) and Alzheimer’s disease (AD)-related cognitive disorder exhibit both retinal vascular abnormalities and intraretinal accumulation of amyloid beta-protein (Aβ) plaque. Curcumin-enhanced retinal fluorescence imaging (CRFI) was recently translated as a safe imaging tool for retinal Aβ plaque quantification, holding promise as an early-stage pathological biomarker of AD. In this exploratory study, we sought to determine whether retinal vascular features combined with retinal amyloid burden correlate with the neurocognitive status.METHODS: We used scanning laser ophthalmoscopy to assess quantitative CRFI in a cohort of patients with cognitive impairment that underwent standard neuropsychological testing. Retinal blood vessels were segmented in a predefined circumpapillary region of interest. For each centerline, vessel tortuosity index, vessel inflection index and branching angle was quantified. Additionally, we automatically quantified retinal amyloid count in the supero-temporal quadrant and its subregions: posterior pole, proximal mid-periphery, and distal mid-periphery. Investigators performing quantifications were blinded to the subjects’ clinical characteristics. Linear regression models were used to assess the correlations between retinal vascular and amyloid parameters and cognitive domain Z-scores.RESULTS: In this pilot study, 34 subjects underwent automated retinal amyloid imaging and 29 subjects (55% female, mean age 64±6 years) had the combined retinal amyloid and peripapillary vascular analysis. Eleven subjects had normal cognition, 15 MCI, 2 probable AD and 1 non-AD dementia. CRFI was increased in individuals with impaired versus normal cognitive function (p 0.0012). Venous VTI was the most significant vascular parameter that differ across levels of CDR. Branching angle correlated with amyloid count in the distal mid-periphery (p=0.03), whereas vessel inflexion index correlated with posterior pole amyloid count (p=0.02). The combined proximal mid-periphery amyloid count – venous tortuosity index was found to exhibit highly significant group differences between cognitively impaired and cognitively normal subjects (0.49 ± 1.1 vs 0.91 ± 1.4, p=0.006). The combined proximal mid-periphery amyloid-venous tortuosity index also correlated with verbal memory (Wechsler Memory Scale-IV; p=0.001) and cognitive-related quality of life (SF-36 mental component score Z-scores; p=0.039).CONCLUSION: Retinal venular tortuosity discriminates across cognitive scores and in combination with proximal mid-periphery amyloid count predicts verbal memory and cognitive-related quality-of-life. Future research is needed to confirm the clinical utility of this integrated retinal imaging-based methodology.

Introduction: Retinal vascular features predict cognitive performance and retinal imaging is a non-invasive tool to study brain health. Patients with Alzheimer’s disease (AD)-related cognitive disorders exhibit both retinal vascular abnormalities and intraretinal accumulation of amyloid-beta (Aβ) plaque. Curcumin-enhanced retinal fluorescence imaging (CRFI) was recently translated as a safe imaging tool for retinal Aβ plaque quantification. In this study, we sought to determine whether and which retinal arterial and venous parameters are predictive of retinal Aβ burden and cognitive Z-scores. Methods: We used scanning laser ophthalmoscopy with RetiaTM (Centervue, Inc) to obtain CRFI in a cohort of patients with cognitive decline. Retinal blood vessels were segmented in a predefined circumpapillary region of interest. For each centerline, vessel tortuosity index (VTI), vessel inflection index (VII), and branching angle (VBA) were quantified, independently for arteries and veins. Additionally, we automatically quantified retinal amyloid count in the supero-temporal quadrant and its subregions: posterior pole (PP), proximal mid-periphery (PMP), and distal mid-periphery (DMP). All quantifications were done blinded to the subjects’ clinical characteristics. Linear regression models were used to assess the correlations between retinal vascular and amyloid parameters. Results: 29 subjects (55% female, mean age 64±6 years) were included in the analysis: 11 had normal cognition, 16 mild cognitive impairment and 2 probable AD. Venous VTI was the only vascular parameter significantly different across levels of Clinical Dementia Rate scores and between cognitively normal and impaired. Venous VBA was a significant predictor of DMP amyloid count (p=0.03). Arterial VII significantly predicted PP amyloid count (p=0.02). VBA predicted Wechsler Adult Intelligence Scale Z-score (p=0.08). The combined VTI-PMP amyloid index significantly predicted Wechsler Memory Scale, California Verbal Learning Test and SF-36 mental component score Z-scores (p<0.05). Conclusion: Retinal venous tortuosity discriminates across cognitive scores and in combination with PMP amyloid count may predict verbal memory and related quality-of-life scores.