ArticleDiagnostics (Basel, Switzerland)2022
Concordance between SIVA, IVAN, and VAMPIRE Software Tools for Semi-Automated Analysis of Retinal Vessel Caliber.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Randomized 20-year infancy-onset dietary intervention, life-long cardiovascular risk factors and retinal microvasculature.European heart journal · 2024Trial
- Retinal Vascular Caliber and Its Ocular and Systemic Correlates in Children Living at High Altitude.Children (Basel, Switzerland) · 2026Article
- Effect of using different fundus cameras and image resolutions on automatic measurements of retinal vascular parameters.Scientific reports · 2026Article
- Improving retinal vessel assessment precision by integrating deep learning with interactive editing and graphical modeling.Scientific reports · 2025Article
- Standardizing image acquisition and processing methods: a critical need for the accurate assessment of retinal blood vessel tortuosity.Biomedical optics express · 2025Article
- Retinal Microvascular Biomarker Assessment With Automated Algorithm and Semiautomated Software in the Montrachet Dataset.Translational vision science & technology · 2025Article
- Applicability of Oculomics for Individual Risk Prediction: Repeatability and Robustness of Retinal Fractal Dimension Using DART and AutoMorph.Investigative ophthalmology & visual science · 2024Article
- 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
- The impact of the image conversion factor and image centration on retinal vessel geometric characteristics.Frontiers in medicine · 2023Article
- Relationships between quantitative retinal microvascular characteristics and cognitive function based on automated artificial intelligence measurements.Frontiers in cell and developmental biology · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
We aimed to compare measurements from three of the most widely used software packages in the literature and to generate conversion algorithms for measurement of the central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE) between SIVA and IVAN and between SIVA and VAMPIRE. We analyzed 223 retinal photographs from 133 human participants using both SIVA, VAMPIRE and IVAN independently for computing CRAE and CRVE. Agreement between measurements was assessed using Bland-Altman plots and intra-class correlation coefficients. A conversion algorithm between measurements was carried out using linear regression, and validated using bootstrapping and root-mean-square error. The agreement between VAMPIRE and IVAN was poor to moderate: The mean difference was 20.2 µm (95% limits of agreement, LOA, -12.2-52.6 µm) for CRAE and 21.0 µm (95% LOA, -17.5-59.5 µm) for CRVE. The agreement between VAMPIRE and SIVA was also poor to moderate: the mean difference was 36.6 µm (95% LOA, -12.8-60.4 µm) for CRAE, and 40.3 µm (95% LOA, 5.6-75.0 µm) for CRVE. The agreement between IVAN and SIVA was good to excellent: the mean difference was 16.4 µm (95% LOA, -4.25-37.0 µm) for CRAE, and 19.3 µm (95% LOA, 0.09-38.6 µm) for CRVE. We propose an algorithm converting IVAN and VAMPIRE measurements into SIVA-estimated measurements, which could be used to homogenize sets of vessel measurements obtained with different software packages.
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