Arnould L, Guenancia C, Binquet C, Delcourt C, Chiquet C, Daien V, Cottin Y, Bron A M, Acar N, Creuzot-Garcher C
Service d'ophtalmologie, CHU de Dijon, Dijon, France; Centre d'investigation clinique 1432, Dijon, France; Laboratoire œil et nutrition, CSGA, UMR 1324 INRA, Dijon, France.
Service de cardiologie, CHU de Dijon, Dijon, France; Laboratoire PEC 2, Dijon, France.
J Fr Ophtalmol. 2022 Jan;45(1):104-118. doi: 10.1016/j.jfo.2021.09.004. Epub 2021 Nov 23.
For over 10 years, the description of the retinal microvascular network has benefited from the development of new imaging techniques. Automated retinal image analysis software, as well as OCT angiography (OCT-A), are able to highlight subtle, early changes in the retinal vascular network thanks to a large amount of microvascular quantitative data. The challenge of current research is to demonstrate the association between these microvascular changes, the systemic vascular aging process, and cerebrovascular and cardiovascular disease. Indeed, a pathophysiological continuum exists between retinal microvascular changes and systemic vascular diseases. In the Montrachet study, we found that a suboptimal retinal vascular network, as identified by the Singapore I Vessel Assessment (SIVA) software, was significantly associated with treated diabetes and an increased risk of cardiovascular mortality. In addition, we supplemented our research on the retinal vascular network with the use of OCT-A. In the EYE-MI study, we showed the potential role of quantitative characterization of the retinal microvascular network by OCT-A in order to assess the cardiovascular risk profile of patients with a history of myocardial infarction. A high AHA (American Heart Association) risk score was associated with low retinal vascular density independently of hemodynamic changes. Thus, a better understanding of the association between the retinal microvasculature and macrovascular disease might make its use conceivable for early identification of at-risk patients and to suggest a personalized program of preventative care. The retinal vascular network could therefore represent an indicator of systemic vascular disease as well as an interesting predictive biomarker for vascular events.
十多年来,新成像技术的发展推动了视网膜微血管网络的研究。自动化视网膜图像分析软件以及光学相干断层扫描血管造影(OCT-A),借助大量微血管定量数据,能够突显视网膜血管网络中细微的早期变化。当前研究面临的挑战是证明这些微血管变化、全身血管老化过程以及脑血管和心血管疾病之间的关联。事实上,视网膜微血管变化与全身血管疾病之间存在病理生理连续性。在蒙特拉谢研究中,我们发现,经新加坡IV血管评估(SIVA)软件识别出的视网膜血管网络欠佳,与接受治疗的糖尿病以及心血管死亡风险增加显著相关。此外,我们利用OCT-A补充了对视网膜血管网络的研究。在EYE-MI研究中,我们展示了OCT-A对视网膜微血管网络进行定量表征,以评估有心肌梗死病史患者心血管风险状况的潜在作用。高美国心脏协会(AHA)风险评分与低视网膜血管密度相关,且与血流动力学变化无关。因此,更好地理解视网膜微血管与大血管疾病之间的关联,可能使其可用于早期识别高危患者,并提出个性化的预防保健方案。视网膜血管网络因此可能代表全身血管疾病的一个指标,以及血管事件的一个有趣的预测生物标志物。