Retinal Microvascular Biomarker Assessment With Automated Algorithm and Semiautomated Software in the Montrachet Dataset
2025
Eid, Pétra | Bourredjem, Abderrahmane | Anwer, Atif | Creuzot-Garcher, Catherine | Keane, Pearse, Andrew | Zhou, Yukun | Wagner, Siegfried | Mériaudeau, Fabrice | Arnould, Louis | Service d'Ophtalmologie (CHU de Dijon) ; Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon) | Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA) ; Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Dijon ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université Bourgogne Europe (UBE) | Centre d'Investigation Clinique 1432 (Dijon) - Epidemiologie Clinique/Essais Cliniques (CIC-EC) ; Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Europe (UBE) | Institut de Chimie Moléculaire de l'Université de Bourgogne [Dijon] (ICMUB) ; Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Bourgogne Europe (UBE) | NIHR Biomedical Research Centre [London] ; King‘s College London-Guy's and St Thomas' NHS Foundation Trust | Physiopathologie et épidémiologie cérébro-cardiovasculaires [Dijon] (PEC2) ; Université Bourgogne Europe (UBE) | The Montrachet study was funded by an inter-regional grant (PHRC), the Regional Council of Burgundy, INRA, CNRS, Université de Bourgogne, Regional Council of Burgundy France (PARI Agrale 1), FEDER (European Funding for Regional Economic Development), the VISIO Foundation for children and visually impaired adults, and a French Government grant managed by the ANR under the “Investment for the Future” Program (ANR-11-LABX-0021-01-LipSTIC Labex), Fondation Avenir. | ANR-11-LABX-0021,Lipstic,Lipoprotéines et santé : prévention et traitement des maladies inflammatoires non vasculaires et du cancer(2011) | European Project: FEDER
International audience
Show more [+] Less [-]English. To compare automated and semiautomated methods for the measurement of retinal microvascular biomarkers: the automated retinal vascular morphology (AutoMorph) algorithm and the Singapore “I” Vessel Assessment (SIVA) software. Analysis of retinal fundus photographs centered on optic discs from the population-based Montrachet Study of adults aged 75 years and older. Comparison and agreement evaluation with intraclass correlation coefficients (ICCs) between SIVA and AutoMorph measures of the central retinal venular and arteriolar equivalent, arteriolar–venular ratio, and fractal dimension. Overall, 1069 fundus photographs were included in this study. The mean age of the patients was 80.04 ± 3.94 years. After the image quality grading process with an optimal threshold, the lowest rejection rate was 51.17% for the AutoMorph analysis (n = 522). The measure of agreement between SIVA and AutoMorph retinal microvascular biomarkers showed a good correlation for vascular complexity (ICC, 0.77–0.47), a poor correlation for vascular calibers (ICC, 0.36–0.23), and no correlation for vascular tortuosity. Significant associations between retinal biomarkers and systemic variables (age, history of stroke, and systolic blood pressure) were consistent between SIVA and AutoMorph. In this dataset, AutoMorph presented a substantial rejection rate. SIVA and AutoMorph provided well-correlated measurements of vascular complexity and caliber with consistent clinical associations. Further comparisons are needed before a transition is made from semiautomated to automated algorithms for the analysis of retinal microvascular biomarkers. Open source software needs to be compared with former semiautomated software for retinal microvascular biomarkers assessment before transition in daily clinic and collaborative research.
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