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用于检测脉络膜新生血管的成像技术。

Imaging techniques for the detection of choroidal neovascularization.

作者信息

Zheng Mi, Paulus Yannis M

机构信息

Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, 21287, USA; Department of Ophthalmology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, 350001, China; Department of Ophthalmology, Provincial Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, 350001, China.

Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, 21287, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21287, USA.

出版信息

Exp Eye Res. 2025 Jul 15;259:110522. doi: 10.1016/j.exer.2025.110522.

Abstract

Choroidal neovascularization (CNV) has been associated with a wide variety of chorioretinal disorders, which can cause vascular leakage, bleeding, and scar formation, leading to significant vision loss. The effective and precise detection of CNV is essential for optimal disease management. A classification system has been devised to categorize neovascularization according to its anatomical location. The system distinguishes three distinct types of neovascularization: type 1, type 2, and type 3. According to the exudative features of the new vessels, CNV can be divided into exudative and non-exudative categories. Each type of CNV exhibits unique features across various imaging modalities. The present study reviews contemporary imaging modalities employed in the detection of CNV, with a focus on the underlying mechanisms, their respective advantages and disadvantages, their typical clinical utilization, and the characteristic features of CNV that are discernible through these techniques. The exploration of novel promising imaging techniques for CNV detection including photoacoustic microscopy, AI, photothermal OCT, and functional fluorescent angiography is also performed.

摘要

脉络膜新生血管(CNV)与多种脉络膜视网膜疾病相关,这些疾病可导致血管渗漏、出血和瘢痕形成,进而导致严重的视力丧失。有效且精确地检测CNV对于优化疾病管理至关重要。已设计出一种分类系统,根据其解剖位置对新生血管进行分类。该系统区分出三种不同类型的新生血管:1型、2型和3型。根据新生血管的渗出特征,CNV可分为渗出性和非渗出性类别。每种类型的CNV在各种成像模态中都表现出独特的特征。本研究回顾了用于检测CNV的当代成像模态,重点关注其潜在机制、各自的优缺点、典型的临床应用,以及通过这些技术可辨别的CNV特征。还对用于CNV检测的新型有前景的成像技术进行了探索,包括光声显微镜、人工智能、光热光学相干断层扫描(OCT)和功能性荧光血管造影。

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