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Optical Coherence Tomography Angiography Biomarkers of Microvascular Alterations in RVCL-S

Overview
Journal Front Neurol
Specialty Neurology
Date 2022 Sep 12
PMID 36090874
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Abstract

Background: The brain and retina share many neuronal and vasculature characteristics. We investigated the retinal microvasculature in patients with a monogenic vasculopathy using optical coherence tomography angiography (OCTA). OCT-A is a novel precise non-invasive imaging method that may provide biomarkers suitable for diagnosis and follow-up of small vessel diseases.

Methods: In this exploratory cross-sectional study, eleven RVCL-S patients and eleven age-matched healthy control participants were included. The size of the foveal avascular zone (FAZ) and the vascular density of the superficial capillary networks in the retina were measured by OCT-A.

Results: The symptomatic and presymptomatic patients showed significantly lower vascular density values than controls in the foveal region [median (IQR) 18.2% (15.8-18.6) vs. 24.4% (21.5-26.8) ( < 0.001), 29.8% (29.6-30.8) vs. 33.2% (32.0-33.6) ( = 0.002), respectively]. The FAZ was significantly larger in the symptomatic RVCL-S patients than in the control group [13,416 square pixels [7,529-22,860] vs. 1,405 square pixels [1,344-2,470] ( < 0.001)]. No significant difference was identified in measurements of FAZ comparing presymptomatic and controls.

Conclusion: Our findings with OCT-A demonstrated that RVCL-S causes an increase in the size of the FAZ in symptomatic RVCL-S patients compared to healthy participants. Moreover, there is a decrease in vessel density in the superficial capillary networks in both symptomatic and presymptomatic patients. In the future, newly developed precise objective instruments such as OCT (-A) may provide important tools in determining disease activity for follow up of common small vessel diseases.

Citing Articles

Insight into the Brain: Application of the Retinal Microvasculature as a Biomarker for Cerebrovascular Diseases through Optical Coherence Tomography Angiography.

Wang L, Shah S, Llaneras C, Goldhardt R Curr Ophthalmol Rep. 2024; 12(1):1-11.

PMID: 39310044 PMC: 11415260. DOI: 10.1007/s40135-023-00320-z.


Computational Retinal Microvascular Biomarkers from an OCTA Image in Clinical Investigation.

Lu B, Li Y, Xie L, Chiu K, Hao X, Xu J Biomedicines. 2024; 12(4).

PMID: 38672222 PMC: 11048516. DOI: 10.3390/biomedicines12040868.

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