视网膜血管疾病的自适应光学验光。

Andrada-Elena Mirescu, Dan George Deleanu, George Baltă, Ioana Teodora Tofolean, Florian Baltă, Irina-Elena Cristescu, Sanda Jurja
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引用次数: 0

摘要

目的:应用自适应光学镜检技术评价健康人群和血管性视网膜疾病患者的视网膜微循环和光感受器参数。该技术通过校正波前像差将光学系统分辨率提高到2 μ m,彻底改变了眼部结构的体内研究。方法:我们研究了自适应光学在健康个体和血管性视网膜疾病患者中的临床应用,包括非增殖性糖尿病视网膜病变、增殖性糖尿病视网膜病变和2型黄斑毛细血管扩张(MacTel)。结果:我们的研究强调,与健康志愿者相比,增生性糖尿病视网膜病变患者的壁腔比(WLR)值更高。此外,我们发现WLR与糖尿病视网膜病变的严重程度呈正相关。此外,在所有象限中,增生性糖尿病视网膜病变的锥体密度都较低。我们诊断为MacTel 2型的患者,锥体马赛克不规则、模糊,锥体缺失明显,尤其是黄斑颞侧,与MacTel 2型病变的典型位置一致。讨论:自适应光学成像评估血管疾病的视网膜变化,尽管获得挑战。所获得的图像有助于跟踪糖尿病视网膜病变的进展和检测早期MacTel 2型变化。我们的研究强调血管和光感受器的变化,量化这些参数以加强对这些血管疾病的理解。结论:自适应光学成像是一种先进的技术,可以提供视网膜血管和光感受器微观结构的高分辨率可视化。这项技术增强了我们对健康和血管视网膜状况的了解,有助于诊断、监测和预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retinal Vascular Diseases Highlighted by Adaptive Optics Ophthalmoscopy.

Objective: We used adaptive optics ophthalmoscopy to assess retinal microcirculation and photoreceptor parameters in healthy individuals and patients with vascular retinal diseases. This technology enhances optical system resolution to 2 µm by correcting wavefront aberrations, revolutionizing in vivo studies of ocular structures.

Methods: Our study examined the clinical applications of adaptive optics in both healthy individuals and patients with vascular retinal diseases, including nonproliferative diabetic retinopathy, proliferative diabetic retinopathy, and macular telangiectasia (MacTel) type 2.

Results: Our study underlined a higher wall-to-lumen ratio (WLR) value in our patient with proliferative diabetic retinopathy compared to our healthy volunteer. Additionally, we found a positive correlation between WLR and the severity of diabetic retinopathy. Furthermore, cone density was lower in all quadrants with proliferative diabetic retinopathy. For our patient diagnosed with MacTel type 2, the cone mosaic appeared irregular and blurred, with notable cone loss, especially on the temporal side of the macula, consistent with the typical location of MacTel type 2 lesions.

Discussion: Adaptive optics imaging assesses retinal changes in vascular diseases despite acquisition challenges. The obtained images aid in tracking diabetic retinopathy progression and detecting early MacTel Type 2 changes. Our study highlighted vascular and photoreceptor changes, quantifying these parameters to enhance understanding of these vascular diseases.

Conclusions: Adaptive optics imaging is an advanced technique that provides high-resolution visualization of the microstructure of retinal vasculature and photoreceptors. This technology enhances our understanding of healthy and vascular retinal conditions, aiding diagnosis, monitoring, and prognosis.

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