ArticleTranslational vision science & technology2016
Comparison of Common Retinal Vessel Caliber Measurement Software and a Conversion Algorithm.
Article in Translational vision science & technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Blood Pressure Effect of Traffic-Related Air Pollution : A Crossover Trial of In-Vehicle Filtration.Annals of internal medicine · 2023Trial
- Retinal microvascular alterations consistent with endothelial dysregulation in paediatric post-COVID-19 syndrome: A prospective matched-cohort study.Scientific reports · 2026Article
- Improving retinal vessel assessment precision by integrating deep learning with interactive editing and graphical modeling.Scientific reports · 2025Article
- Comparison of the additive value of blood-based and retinal biomarkers to clinical features in predicting cognitive decline.Communications medicine · 2025Article
- Development and Validation of Polygenic Scores for Retinal Vessel Calibers.Investigative ophthalmology & visual science · 2025Article
- Retinal Microvascular Biomarker Assessment With Automated Algorithm and Semiautomated Software in the Montrachet Dataset.Translational vision science & technology · 2025Article
- Retinal Microangiopathy as a Marker of Coronary Atherosclerotic Heart Disease.International journal of general medicine · 2025Review
- Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images.NPJ digital medicine · 2024Article
- Microvascular Changes during Viral Infections: A Systematic Review of Studies Using Retinal Vessel Diameter Assessments.Biomedicines · 2024Review
- Non-Invasive Retinal Vessel Analysis as a Predictor for Cardiovascular Disease.Journal of personalized medicine · 2024Review
- Automated Retinal Vessel Analysis Based on Fundus Photographs as a Predictor for Non-Ophthalmic Diseases-Evolution and Perspectives.Journal of personalized medicine · 2023Review
- Retinal Vessel Caliber Measurement Bias in Fundus Images in the Presence of the Central Light Reflex.Translational vision science & technology · 2023Article
- Correlation Between Retinal Vessel Diameters and Uveitis Activity.Investigative ophthalmology & visual science · 2023Article
- The impact of the image conversion factor and image centration on retinal vessel geometric characteristics.Frontiers in medicine · 2023Article
- AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline.Translational vision science & technology · 2022Article
- Concordance between SIVA, IVAN, and VAMPIRE Software Tools for Semi-Automated Analysis of Retinal Vessel Caliber.Diagnostics (Basel, Switzerland) · 2022Article
- Changes of retinal structure and function in patients with internal carotid artery stenosis.BMC ophthalmology · 2022Article
- A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis.Frontiers in cardiovascular medicine · 2022Article
- Correlation between retinal vascular parameters and cystatin C in patients with type 2 diabetes.Acta diabetologica · 2021Article
- Imaging the eye and its relevance to diabetes care.Journal of diabetes investigation · 2021Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare three commonly used retinal vessel caliber measurement software systems, and propose an algorithm for conversion between measurement systems.
methodsWe used 120 retinal photographs to evaluate the agreement between three commonly used software (Retinal Analysis [RA], Integrative Vessel Analysis [IVAN], and Singapore I Vessel Assessment [SIVA]). Bland-Altman plots were used to evaluate agreement of retinal arteriolar (central retinal artery equivalent, CRAE) and venular (central retinal vein equivalent, CRVE) calibers. Pearson's correlation was used to assess the associations between systemic factors and retinal vessel calibers, and Z-test was used to compare the strength of the correlation coefficients across the three software systems. An algorithm was created to convert measurements, with paired
resultsDifferences between SIVA- and RA-measured calibers (CRAE: mean difference [MD] = -21.8 μm, 95% limits of agreement [LOA], -47.3 to 3.7 μm; CRVE: MD = -7.7 μm, 95% LOA, -28.0 to 12.6 μm), SIVA- and IVAN-measured calibers (CRAE: MD = -6.7 μm, 95% LOA, -23.8 to 10.4 μm; CRVE: MD = -18.2 μm 95% LOA, -36.7 to 0.4 μm) were large. However, the strength of correlations between systemic factors with SIVA-measured retinal calibers was not significantly different to that measured using RA and IVAN (
conclusionAbsolute measurements of retinal vessel calibers vary between three common software systems but associations with systemic factors were similar. TRANSLATIONAL RELEVANCE: The proposed algorithm allowed conversions of RA and IVAN measurements to SIVA-approximates. This conversion is important for future data pooling and establishment of normative values for retinal vascular caliber measurements.
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