Retinal capillary perfusion heterogeneity in diabetic retinopathy detected by optical coherence tomography angiography.

Po Hsiang Shawn Yuan, Arman Athwal, Mena Shalaby, Andrew Mehnert, Dao-Yi Yu, Rony C Preti, Marinko Sarunic, Eduardo V Navajas
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Abstract

Background: Diabetic retinopathy (DR) is a leading cause of blindness and involves retinal capillary damage, microaneurysms, and altered blood flow regulation. Optical coherence tomography angiography (OCTA) is a non-invasive way of visualizing retinal vasculature but has not been used extensively to study blood flow heterogeneity. The purpose of this study is to detect and quantify blood flow heterogeneity utilizing en-face swept source OCTA in patients with DR.

Methods: This is a prospective clinical study which examined patients with either type 1 or 2 diabetes mellitus. Each included eye was graded clinically as no DR, mild DR, or moderate-severe DR. Ten consecutive en face 6 × 6 mm foveal SS-OCTA images were obtained from each eye using a PLEX Elite 9000 (Zeiss Meditec, Dublin, CA). Built-in fixation-tracking, follow-up functions were utilized to reduce motion artifacts and ensure same location imaging in sequential frames. Images of the superficial and deep vascular complexes (SVC and DVC) were arranged in temporal stacks of 10 and registered to a reference frame for segmentation using a deep neural network. The vessel segmentation was then masked onto each stack to calculate the pixel intensity coefficient of variance (PICoV) and map the spatiotemporal perfusion heterogeneity of each stack.

Results: Twenty-nine eyes were included: 7 controls, 7 diabetics with no DR, 8 mild DR, and 7 moderate-severe DR. The PICoV correlated significantly and positively with DR severity. In patients with DR, the perfusion heterogeneity was higher in the temporal half of the macula, particularly in areas of capillary dropout. PICoV also correlates as expected with the established OCTA metrics of perfusion density and vessel density.

Conclusion: PICoV is a novel way to analyze OCTA imaging and quantify perfusion heterogeneity. Retinal capillary perfusion heterogeneity in both the SVC and DVC increased with DR severity. This may be related to the loss of retinal capillary perfusion autoregulation in diabetic retinopathy.

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通过光学相干断层血管造影术检测糖尿病视网膜病变的视网膜毛细血管灌注异质性。
背景:糖尿病视网膜病变(DR)是导致失明的主要原因,涉及视网膜毛细血管损伤、微动脉瘤和血流调节改变。光学相干断层血管成像(OCTA)是一种无创的视网膜血管成像方法,但尚未广泛用于研究血流异质性。本研究的目的是利用面扫源 OCTA 对 DR 患者的血流异质性进行检测和量化:这是一项前瞻性临床研究,研究对象为 1 型或 2 型糖尿病患者。每只纳入研究的眼睛都被临床分级为无 DR、轻度 DR 或中重度 DR。使用 PLEX Elite 9000(Zeiss Meditec,Dublin,CA)获得了每只眼睛十张连续的正面 6 × 6 毫米眼窝 SS-OCTA 图像。利用内置的定点跟踪和随访功能减少运动伪影,并确保在连续帧中进行相同位置成像。浅层和深层血管复合体(SVC 和 DVC)的图像按 10 张的时间堆叠排列,并注册到参考帧上,以便使用深度神经网络进行分割。然后将血管分割结果掩盖在每个堆栈上,计算像素强度方差系数(PICoV),并绘制每个堆栈的时空灌注异质性图:结果:共纳入 29 只眼睛:结果:共纳入 29 只眼睛:7 只对照组、7 只无 DR 的糖尿病患者、8 只轻度 DR 和 7 只中重度 DR。PICoV与DR严重程度呈显著正相关。在 DR 患者中,黄斑颞半部分的灌注异质性较高,尤其是在毛细血管脱落的区域。PICoV 与已有的 OCTA 指标(灌注密度和血管密度)也有预期的相关性:结论:PICoV 是分析 OCTA 成像和量化灌注异质性的一种新方法。SVC和DVC的视网膜毛细血管灌注异质性随着DR的严重程度而增加。这可能与糖尿病视网膜病变导致的视网膜毛细血管灌注自动调节功能丧失有关。
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来源期刊
CiteScore
3.50
自引率
4.30%
发文量
81
审稿时长
19 weeks
期刊介绍: International Journal of Retina and Vitreous focuses on the ophthalmic subspecialty of vitreoretinal disorders. The journal presents original articles on new approaches to diagnosis, outcomes of clinical trials, innovations in pharmacological therapy and surgical techniques, as well as basic science advances that impact clinical practice. Topical areas include, but are not limited to: -Imaging of the retina, choroid and vitreous -Innovations in optical coherence tomography (OCT) -Small-gauge vitrectomy, retinal detachment, chromovitrectomy -Electroretinography (ERG), microperimetry, other functional tests -Intraocular tumors -Retinal pharmacotherapy & drug delivery -Diabetic retinopathy & other vascular diseases -Age-related macular degeneration (AMD) & other macular entities
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