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

IF 2.4 Q2 OPHTHALMOLOGY
Ricardo Luz Leitão Guerra, Luiz Roisman, Jay S Duker, Giuseppe Querques, Luiz Filipe Adami Lucatto, Emmerson Badaró, Gabriel Castilho S Barbosa, Eduardo Amorim Novais
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引用次数: 0

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.

用常规光谱域光学相干层析成像显示不可见的内丛状层分层。
背景:视网膜的内丛状层(IPL)在视觉处理中起着关键作用,它由5个分层的子带(S1-S5)组成,这些子带隔离了ON和OFF视觉通路。到目前为止,只能通过实验高分辨率(HR-OCT)或可见光OCT (VIS-OCT)来分辨这些IPL亚层,而这些技术仍无法用于临床。这项研究首次证明了可以使用市售的具有优化成像和灰度反演的光谱域OCT (SD-OCT)来可视化IPL分层。方法:这项回顾性的横断面图像分析研究包括三名接受黄斑OCT成像的健康个体。两名受试者使用SD-OCT设备(Nidek RS3000 Advance和蔡司Cirrus 6000)成像,而一名受试者使用扫描源OCT (SS-OCT)设备(Topcon Triton DRI)成像。在标准和倒转灰度显示模式下,对120次高密度b扫描(每次b扫描1024次a扫描)进行降噪分析。扫描尺寸(12mm, 6mm和3mm)对IPL可视化的影响也进行了评估。结果:在常规灰度下,IPL分层不明显。然而,在所有病例中,倒置灰度显示五个IPL子带,特别是在IPL较厚的中央凹旁区域。IPL-1附近的高反射点,可能代表浅毛细血管丛,也被发现。与12毫米扫描相比,3毫米扫描方案提供了更好的子层分化。然而,SS-OCT图像不能区分五层IPL地层。结论:本研究挑战了传统SD-OCT无法识别IPL分层的观点。该方法通过细化成像参数和灰度反演,增强了标准技术对视网膜电路的分析。虽然SD-OCT可以在特定条件下实现详细的IPL可视化,但SS-OCT似乎并不适合此目的。这些发现重新定义了SD-OCT的诊断能力,为眼科和神经退行性疾病监测的研究开辟了途径。进一步的研究应该建立最佳实践并扩大这种新方法的临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
4.30%
发文量
81
审稿时长
19 weeks
期刊介绍: International Journal of Retina and Vitreous focuses on the ophthalmic subspecialty of vitreoretinal disorders. The journal presents original articles on new approaches to diagnosis, outcomes of clinical trials, innovations in pharmacological therapy and surgical techniques, as well as basic science advances that impact clinical practice. Topical areas include, but are not limited to: -Imaging of the retina, choroid and vitreous -Innovations in optical coherence tomography (OCT) -Small-gauge vitrectomy, retinal detachment, chromovitrectomy -Electroretinography (ERG), microperimetry, other functional tests -Intraocular tumors -Retinal pharmacotherapy & drug delivery -Diabetic retinopathy & other vascular diseases -Age-related macular degeneration (AMD) & other macular entities
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