Suppr超能文献

蓝光和绿光眼底自发荧光在年龄相关性黄斑变性评估中对光学相干断层扫描的补充作用

Blue Light and Green Light Fundus Autofluorescence, Complementary to Optical Coherence Tomography, in Age-Related Macular Degeneration Evaluation.

作者信息

Ranetti Antonia-Elena, Stanca Horia Tudor, Munteanu Mihnea, Bievel Radulescu Raluca, Stanca Simona

机构信息

Doctoral School, "Carol Davila" University of Medicine and Pharmacy, Strada Dionisie Lupu No. 37, 020021 București, Romania.

Clinical Department of Ophthalmology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.

出版信息

Diagnostics (Basel). 2025 Jul 2;15(13):1688. doi: 10.3390/diagnostics15131688.

Abstract

Age-related macular degeneration (AMD) is one of the leading causes of permanent vision loss in the elderly, particularly in higher-income countries. Fundus autofluorescence (FAF) imaging is a widely used, non-invasive technique that complements structural imaging in the assessment of retinal pigment epithelium (RPE) integrity. While optical coherence tomography (OCT) remains the gold standard for retinal imaging due to its high-resolution cross-sectional visualization, FAF offers unique metabolic insights. Among the FAF modalities, blue light FAF (B-FAF) is more commonly employed, whereas green light FAF (G-FAF) provides subtly different image characteristics, particularly improved visualization and contrast in the central macula. Despite identical acquisition times and nearly indistinguishable workflows, G-FAF is notably underutilized in clinical practice. This narrative review critically compares green and blue FAF in terms of their diagnostic utility relative to OCT, with a focus on lesion detectability, macular pigment interference, and clinical decision-making in retinal disorders. A comprehensive literature search was performed using the PubMed database for studies published prior to February 2025. The search utilized the keywords fundus autofluorescence and age-related macular degeneration. The primary focus was on short-wavelength FAF and its clinical utility in AMD, considering three aspects: diagnosis, follow-up, and prognosis. The OCT findings served as the reference standard for anatomical correlation and diagnostic accuracy. Both FAF modalities correlated well with OCT in detecting RPE abnormalities. G-FAF demonstrated improved visibility of central lesions due to reduced masking by macular pigment and enhanced contrast in the macula. However, clinical preference remained skewed toward B-FAF, driven more by tradition and device default settings than by evidence-based superiority. G-FAF's diagnostic potential remains underrecognized despite its comparable practicality and subtle imaging advantages specifically for AMD patients. AMD stages were accurately characterized, and relevant images were used to highlight the significance of G-FAF and B-FAF in the examination of AMD patients. While OCT remains the gold standard, FAF provides complementary information that can guide management strategy. Since G-FAF is functionally equivalent in acquisition, it offers slight advantages. Broader awareness and more frequent integration of G-FAF that could optimize multimodal imaging strategies, particularly in the intermediate stage, should be developed.

摘要

年龄相关性黄斑变性(AMD)是老年人永久性视力丧失的主要原因之一,在高收入国家尤其如此。眼底自发荧光(FAF)成像是一种广泛使用的非侵入性技术,在评估视网膜色素上皮(RPE)完整性方面可补充结构成像。虽然光学相干断层扫描(OCT)因其高分辨率的横断面可视化仍然是视网膜成像的金标准,但FAF提供了独特的代谢见解。在FAF模式中,蓝光FAF(B-FAF)更常用,而绿光FAF(G-FAF)提供略有不同的图像特征,特别是在黄斑中心区改善了可视化和对比度。尽管采集时间相同且工作流程几乎难以区分,但G-FAF在临床实践中的应用明显不足。本叙述性综述严格比较了绿色和蓝色FAF相对于OCT的诊断效用,重点关注病变可检测性、黄斑色素干扰以及视网膜疾病的临床决策。使用PubMed数据库对2025年2月之前发表的研究进行了全面的文献检索。检索使用了关键词“眼底自发荧光”和“年龄相关性黄斑变性”。主要关注短波长FAF及其在AMD中的临床效用,考虑三个方面:诊断、随访和预后。OCT检查结果作为解剖相关性和诊断准确性的参考标准。两种FAF模式在检测RPE异常方面与OCT相关性良好。由于黄斑色素的掩盖减少以及黄斑区对比度增强,G-FAF显示出中央病变的可见性提高。然而,临床偏好仍然倾向于B-FAF,更多是受传统和设备默认设置的驱动,而非基于证据的优越性。尽管G-FAF具有相当的实用性和对AMD患者特别的细微成像优势,但其诊断潜力仍未得到充分认识。准确描述了AMD的阶段,并使用相关图像突出了G-FAF和B-FAF在AMD患者检查中的重要性。虽然OCT仍然是金标准,但FAF提供了可指导管理策略的补充信息。由于G-FAF在采集功能上等效,它具有一些轻微优势。应提高对G-FAF的更广泛认识并更频繁地将其纳入,以优化多模态成像策略,特别是在中期阶段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db31/12248692/dcc2414e2d35/diagnostics-15-01688-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验