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可视化不可见之物:利用传统光谱域光学相干断层扫描技术对内核层进行分层

Visualizing the invisible: inner plexiform layer stratification with conventional spectral-domain optical coherence tomography.

作者信息

Guerra Ricardo Luz Leitão, Roisman Luiz, Duker Jay S, Querques Giuseppe, Lucatto Luiz Filipe Adami, Badaró Emmerson, Barbosa Gabriel Castilho S, Novais Eduardo Amorim

机构信息

Retina Department, Leitão Guerra - Oftalmologia, Salvador, Brazil.

Orbit Ophthalmo Learning, Salvador, Brazil.

出版信息

Int J Retina Vitreous. 2025 Jun 15;11(1):65. doi: 10.1186/s40942-025-00692-3.

DOI:10.1186/s40942-025-00692-3
PMID:40518547
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12168253/
Abstract

BACKGROUND

The inner plexiform layer (IPL) of the retina plays a key role in visual processing, consisting of five stratified sub-bands (S1-S5) that segregate ON and OFF visual pathways. Until now, resolving these IPL sub-layers was only possible with experimental high-resolution (HR-OCT) or visible-light OCT (VIS-OCT), which remain inaccessible for clinical use. This study provides the first demonstration that IPL stratification can be visualized using commercially available spectral-domain OCT (SD-OCT) with optimized imaging and grayscale inversion.

METHODS

This retrospective, cross-sectional image analysis study included three healthy individuals who underwent macular OCT imaging. Two subjects were imaged with SD-OCT devices (Nidek RS3000 Advance and Zeiss Cirrus 6000), while one subject was imaged with a swept-source OCT (SS-OCT) device (Topcon Triton DRI). High-density B-scans (1024 A-scans per B-scan) with 120 repetitions for noise reduction were analyzed in both standard and inverted grayscale display modes. The impact of scan size (12 mm, 6 mm, and 3 mm) on IPL visualization was also evaluated.

RESULTS

In conventional grayscale, IPL stratification was indistinct. However, inverted grayscale revealed five IPL sub-bands in all cases, particularly in the parafoveal region where the IPL is thicker. Hyperreflective dots near IPL-1, likely representing the superficial capillary plexus, were also identified. The 3-mm scan protocol provided superior sub-layer differentiation compared to 12-mm scans. However, SS-OCT images did not allow for the distinction of the five IPL strata.

CONCLUSIONS

This study challenges the belief that IPL stratification cannot be identified with conventional SD-OCT. By refining imaging parameters and using grayscale inversion, this approach enhances retinal circuit analysis with standard technology. While SD-OCT enables detailed IPL visualization under specific conditions, SS-OCT does not appear to be well-suited for this purpose. These findings redefine SD-OCT's diagnostic capabilities, opening avenues for research in ophthalmology and neurodegenerative disease monitoring. Further studies should establish best practices and expand clinical applications for this novel methodology.

摘要

背景

视网膜的内网状层(IPL)在视觉处理中起关键作用,由五个分层子带(S1 - S5)组成,这些子带分离开视觉通路和关视觉通路。到目前为止,只有通过实验性高分辨率光学相干断层扫描(HR - OCT)或可见光光学相干断层扫描(VIS - OCT)才能分辨这些IPL子层,而这些技术在临床应用中仍然无法实现。本研究首次证明,使用具有优化成像和灰度反转的商用光谱域光学相干断层扫描(SD - OCT)可以可视化IPL分层。

方法

这项回顾性横断面图像分析研究纳入了三名接受黄斑OCT成像的健康个体。两名受试者使用SD - OCT设备(尼德克RS3000 Advance和蔡司Cirrus 6000)进行成像,而一名受试者使用扫频光学相干断层扫描(SS - OCT)设备(拓普康Triton DRI)进行成像。在标准和反转灰度显示模式下分析了具有120次重复以降低噪声的高密度B扫描(每次B扫描1024次A扫描)。还评估了扫描大小(12毫米、6毫米和3毫米)对IPL可视化的影响。

结果

在传统灰度下,IPL分层不清晰。然而,反转灰度在所有情况下都显示出五个IPL子带,特别是在IPL较厚的黄斑旁区域。还识别出了IPL - 1附近的高反射点,可能代表浅表毛细血管丛。与12毫米扫描相比,3毫米扫描方案提供了更好的子层区分。然而,SS - OCT图像无法区分五个IPL层。

结论

本研究挑战了传统SD - OCT无法识别IPL分层的观点。通过优化成像参数和使用灰度反转,这种方法增强了使用标准技术进行的视网膜回路分析。虽然SD - OCT在特定条件下能够实现详细的IPL可视化,但SS - OCT似乎不太适合此目的。这些发现重新定义了SD - OCT的诊断能力,为眼科研究和神经退行性疾病监测开辟了道路。进一步的研究应建立最佳实践并扩大这种新方法的临床应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/b25d669dc190/40942_2025_692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/c72866bcc0f2/40942_2025_692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/4483dd10323a/40942_2025_692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/eee8d3d07716/40942_2025_692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/4d63aad92e58/40942_2025_692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/b25d669dc190/40942_2025_692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/c72866bcc0f2/40942_2025_692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/4483dd10323a/40942_2025_692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/eee8d3d07716/40942_2025_692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/4d63aad92e58/40942_2025_692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/420b/12168253/b25d669dc190/40942_2025_692_Fig5_HTML.jpg

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