Retinal Microvascular Biomarker Assessment With Automated Algorithm and Semiautomated Software in the Montrachet Dataset.

IF 2.6 3区医学 Q2 OPHTHALMOLOGY

Translational Vision Science & Technology Pub Date : 2025-03-03 DOI:10.1167/tvst.14.3.13

Pétra Eid, Abderrahmane Bourredjem, Atif Anwer, Catherine Creuzot-Garcher, Pearse Andrew Keane, Yukun Zhou, Siegfried Wagner, Fabrice Meriaudeau, Louis Arnould

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引用次数: 0

Abstract

Purpose: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Translational relevance: 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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在Montrachet数据集中使用自动化算法和半自动软件进行视网膜微血管生物标志物评估。

目的：比较自动化和半自动测量视网膜微血管生物标志物的方法：自动视网膜血管形态学（AutoMorph）算法和新加坡“I”血管评估（SIVA）软件。方法：分析以人群为基础的75岁及以上成人Montrachet研究中以视盘为中心的视网膜眼底照片。SIVA和AutoMorph测量视网膜中央静脉和小动脉当量、小动脉-小静脉比率和分形维数的类内相关系数（ICCs）比较和一致性评价。结果：本研究共纳入1069张眼底照片。患者平均年龄为80.04±3.94岁。经过最优阈值图像质量分级处理后，AutoMorph分析的拒绝率最低为51.17% （n = 522）。SIVA和AutoMorph视网膜微血管生物标志物之间的一致性测量显示，血管复杂性（ICC, 0.77-0.47）具有良好的相关性，血管直径（ICC, 0.36-0.23）具有较差的相关性，而血管弯曲度没有相关性。视网膜生物标志物和系统变量（年龄、卒中史和收缩压）之间的显著关联在SIVA和AutoMorph之间是一致的。结论：在该数据集中，AutoMorph具有可观的拒绝率。SIVA和AutoMorph提供了血管复杂性和口径的相关测量，具有一致的临床关联。在从半自动算法过渡到自动化算法分析视网膜微血管生物标志物之前，需要进一步的比较。翻译相关性：在日常临床和合作研究过渡之前，需要将开源软件与以前的视网膜微血管生物标志物评估半自动软件进行比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Translational Vision Science & Technology Engineering-Biomedical Engineering

CiteScore

5.70

自引率

3.30%

发文量

346

审稿时长

25 weeks

期刊介绍： Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.