Population-Based Normative Reference for Retinal Microvascular Atlas

IF 3.2 Q1 OPHTHALMOLOGY

Ophthalmology science Pub Date : 2025-01-31 DOI:10.1016/j.xops.2025.100723

Mayinuer Yusufu MTI , Algis J. Vingrys PhD , Xianwen Shang PhD , Lei Zhang PhD , Danli Shi PhD, MD , Nathan Congdon PhD, MD , Mingguang He PhD, MD

{"title":"Population-Based Normative Reference for Retinal Microvascular Atlas","authors":"Mayinuer Yusufu MTI , Algis J. Vingrys PhD , Xianwen Shang PhD , Lei Zhang PhD , Danli Shi PhD, MD , Nathan Congdon PhD, MD , Mingguang He PhD, MD","doi":"10.1016/j.xops.2025.100723","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To establish the normative range of a comprehensive set of retinal vascular measurements to better understand their value as biomarkers for assessing ocular and systemic health.</div></div><div><h3>Design</h3><div>Cross-sectional study.</div></div><div><h3>Participants</h3><div>The study included 10 151 healthy participants from the UK Biobank.</div></div><div><h3>Methods</h3><div>Retina-based Microvascular Health Assessment System software was used to extract retinal vascular measurements, including caliber, complexity, density, branching angle, and tortuosity, differentiating between arteries and veins and between the macula and retinal periphery. In addition, we explored relationships between those measurements and health metrics, including age, systolic blood pressure (SBP), body mass index, glycated hemoglobin, and intraocular pressure.</div></div><div><h3>Main Outcome Measures</h3><div>We reported the population normative range for 114 retinal vascular measurements, further stratified by sex and age.</div></div><div><h3>Results</h3><div>The mean values of central retinal artery equivalent and central retinal vein equivalent (CRVE) were 152 (standard deviation = 14.9) μm and 233 (21.5) μm, respectively. The mean value of fractal dimension (FD) was 1.77 (0.032), with arterial FD 1.53 (0.039) and venular FD 1.56 (0.025). Age and SBP showed the strongest associations with most retinal parameters among health metrics. Central retinal artery equivalent, CRVE, density, and complexity decreased with increasing age and SBP. Changes in arterial measurements with age and SBP were generally greater than those in venous measurements. Generalized additive models further revealed that observed associations were mainly linear.</div></div><div><h3>Conclusions</h3><div>By establishing population normative data for a comprehensive set of retinal vascular measurements, our study enables quantifiable approaches to better understand retinal vascular changes.</div></div><div><h3>Financial Disclosure(s)</h3><div>Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.</div></div>","PeriodicalId":74363,"journal":{"name":"Ophthalmology science","volume":"5 3","pages":"Article 100723"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ophthalmology science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666914525000211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Objective

To establish the normative range of a comprehensive set of retinal vascular measurements to better understand their value as biomarkers for assessing ocular and systemic health.

Design

Cross-sectional study.

Participants

The study included 10 151 healthy participants from the UK Biobank.

Methods

Retina-based Microvascular Health Assessment System software was used to extract retinal vascular measurements, including caliber, complexity, density, branching angle, and tortuosity, differentiating between arteries and veins and between the macula and retinal periphery. In addition, we explored relationships between those measurements and health metrics, including age, systolic blood pressure (SBP), body mass index, glycated hemoglobin, and intraocular pressure.

Main Outcome Measures

We reported the population normative range for 114 retinal vascular measurements, further stratified by sex and age.

Results

The mean values of central retinal artery equivalent and central retinal vein equivalent (CRVE) were 152 (standard deviation = 14.9) μm and 233 (21.5) μm, respectively. The mean value of fractal dimension (FD) was 1.77 (0.032), with arterial FD 1.53 (0.039) and venular FD 1.56 (0.025). Age and SBP showed the strongest associations with most retinal parameters among health metrics. Central retinal artery equivalent, CRVE, density, and complexity decreased with increasing age and SBP. Changes in arterial measurements with age and SBP were generally greater than those in venous measurements. Generalized additive models further revealed that observed associations were mainly linear.

Conclusions

By establishing population normative data for a comprehensive set of retinal vascular measurements, our study enables quantifiable approaches to better understand retinal vascular changes.