Evidence map›Paper›PMID 40518547›Full record

ArticleInternational journal of retina and vitreous2025

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

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

Abstract read
In one paragraph

Article in International journal of retina and vitreous, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ricardo Luz Leitão GuerraRetina Department, Leitão Guerra - Oftalmologia, Salvador, Brazil.
Luiz RoismanOrbit Ophthalmo Learning, Salvador, Brazil.
Jay S DukerNew England Eye Center, Tufts Medical Center, Boston, MA, USA.
Giuseppe QuerquesSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Luiz Filipe Adami LucattoOrbit Ophthalmo Learning, Salvador, Brazil.
Emmerson BadaróOrbit Ophthalmo Learning, Salvador, Brazil.
Gabriel Castilho S BarbosaOrbit Ophthalmo Learning, Salvador, Brazil. gabrielcastilho.oftalmo@gmail.com.
Eduardo Amorim NovaisOrbit Ophthalmo Learning, Salvador, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThis 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.

resultsIn 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.

conclusionsThis 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.

Indexed as

Inner plexiform layerOptical coherence tomographyRetinal imagingSpectral-domain

Identifiers

PMID40518547
PMCPMC12168253

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.