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用于评估近视眼的超广角成像

Ultra-Widefield Imaging for Evaluation of the Myopic Eye.

作者信息

Ludwig Cassie A, Moon Jade, Garg Itika, Miller John B

机构信息

Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, USA.

Harvard Retinal Imaging Lab, Massachusetts Eye and Ear, Boston, Massachusetts, USA.

出版信息

Semin Ophthalmol. 2021 May 19;36(4):185-190. doi: 10.1080/08820538.2021.1887904. Epub 2021 Feb 23.

DOI:10.1080/08820538.2021.1887904
PMID:33620294
Abstract

: Ultra-widefield (UWF) imaging of the myopic eye. : Myopes, and particularly high and pathologic myopes, present a unique challenge in fundoscopic imaging. Critical pathology is often located in the anteriormost portion of the retina, variations in posterior segment contour are difficult to capture in two-dimensional images, and extremes in axial length make simply focusing imaging devices difficult. We review the evolution of modalities for ophthalmic imaging (color fundus photography [CFP], optical coherence topography [OCT], angiography, artificial intelligence [AI]) to present day UWF technology and its impact on our understanding of myopia. Advances in UWF technology address many of the challenges in fundoscopic imaging of myopes, providing new insights into the structure and function of the myopic eye. UWF CFP improves our ability to detect and document anterior peripheral pathology prevalent in approximately half of all high myopes. UWF OCT better captures the staphylomatous contour of the myopic eye, providing enhanced visualization of the vitreoretinal interface and progressive development of myopic traction maculopathy. UWF angiography highlights the posterior vortex veins, thin choriocapillaris, far peripheral avascularity, and peripheral retinal capillary microaneurysms more prevalent in the myopic eye. Researchers have demonstrated the ability of AI algorithms to predict refractive error, and great potential remains in the use of AI technology for the screening and prevention of myopic disease. We note significant progress in our ability to capture anterior pathology and improved image quality of the posterior segment of high and pathologic myopes. The next jump forward for UWF imaging will be the ability to capture a high quality ora to ora multimodal fundoscopic image in a single scan that will allow for sensitive AI-assisted screening of myopic disease.

摘要

近视眼中的超广角(UWF)成像:近视患者,尤其是高度近视和病理性近视患者,在眼底成像方面面临独特挑战。关键病变通常位于视网膜最前部,二维图像难以捕捉后段轮廓的变化,眼轴长度过长使得简单地聚焦成像设备变得困难。我们回顾了眼科成像模式(彩色眼底照相术[CFP]、光学相干断层扫描[OCT]、血管造影、人工智能[AI])发展到如今的UWF技术的历程及其对我们理解近视的影响。UWF技术的进步解决了近视眼底成像中的许多挑战,为近视眼的结构和功能提供了新的见解。UWF CFP提高了我们检测和记录约一半高度近视患者中普遍存在的前部周边病变的能力。UWF OCT能更好地捕捉近视眼的葡萄肿轮廓,增强了对玻璃体视网膜界面和近视性牵引性黄斑病变进展的可视化。UWF血管造影突出了近视眼更常见的后涡静脉、脉络膜毛细血管变薄、远周边无血管区和周边视网膜毛细血管微动脉瘤。研究人员已经证明了AI算法预测屈光不正的能力,并且在使用AI技术进行近视疾病的筛查和预防方面仍有巨大潜力。我们注意到在捕捉前部病变的能力以及提高高度近视和病理性近视患者后段图像质量方面取得了重大进展。UWF成像的下一个飞跃将是能够在单次扫描中捕捉高质量的从锯齿缘到锯齿缘的多模态眼底图像,这将允许对近视疾病进行敏感的AI辅助筛查。

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