In Vivo Retinal Pigment Epithelium Imaging using Transscleral Optical Imaging in Healthy Eyes.

AF, autofluorescence AL, axial length AO, adaptive optics Adaptive Optics Transscleral Flood Illumination BCVA, best-corrected visual acuity CCS, center-to-center spacing CoV, coefficient of variation D, diopters FOV, field of view Healthy volunteers High resolution retinal imaging IOP, intraocular pressure NIR, near-infrared PRL, preferred retinal locus QC, quality criterion RE, refractive error RPE, retinal pigment epithelium Retinal Pigment Epithelium SD, standard deviation SLO, scanning laser ophthalmoscope TOPI, transscleral optical imaging

Journal

Ophthalmology science
ISSN: 2666-9145
Titre abrégé: Ophthalmol Sci
Pays: Netherlands
ID NLM: 9918230896206676

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 21 12 2021
revised: 10 10 2022
accepted: 12 10 2022
entrez: 22 12 2022
pubmed: 23 12 2022
medline: 23 12 2022
Statut: epublish

Résumé

To image healthy retinal pigment epithelial (RPE) cells in vivo using Transscleral OPtical Imaging (TOPI) and to analyze statistics of RPE cell features as a function of age, axial length (AL), and eccentricity. Single-center, exploratory, prospective, and descriptive clinical study. Forty-nine eyes (AL: 24.03 ± 0.93 mm; range: 21.9-26.7 mm) from 29 participants aged 21 to 70 years (37.1 ± 13.3 years; 19 men, 10 women). Retinal images, including fundus photography and spectral-domain OCT, AL, and refractive error measurements were collected at baseline. For each eye, 6 high-resolution RPE images were acquired using TOPI at different locations, one of them being imaged 5 times to evaluate the repeatability of the method. Follow-up ophthalmic examination was repeated 1 to 3 weeks after TOPI to assess safety. Retinal pigment epithelial images were analyzed with a custom automated software to extract cell parameters. Statistical analysis of the selected high-contrast images included calculation of coefficient of variation (CoV) for each feature at each repetition and Spearman and Mann-Whitney tests to investigate the relationship between cell features and eye and subject characteristics. Retinal pigment epithelial cell features: density, area, center-to-center spacing, number of neighbors, circularity, elongation, solidity, and border distance CoV. Macular RPE cell features were extracted from TOPI images at an eccentricity of 1.6° to 16.3° from the fovea. For each feature, the mean CoV was < 4%. Spearman test showed correlation within RPE cell features. In the perifovea, the region in which images were selected for all participants, longer AL significantly correlated with decreased RPE cell density (R Spearman, Rs = -0.746; The TOPI technology imaged RPE cells in vivo with a repeatability of < 4% for the CoV and was used to analyze the influence of physiologic factors on RPE cell morphometry in the perifovea of healthy volunteers. Proprietary or commercial disclosure may be found after the references.

Identifiants

pubmed: 36545259
doi: 10.1016/j.xops.2022.100234
pii: S2666-9145(22)00123-3
pmc: PMC9762198
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100234

Informations de copyright

© 2022 by the American Academy of Ophthalmology. Published by Elsevier Inc.

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Auteurs

Laura Kowalczuk (L)

Laboratory of Applied Photonic Devices, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Rémy Dornier (R)

Laboratory of Applied Photonic Devices, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Mathieu Kunzi (M)

Laboratory of Applied Photonic Devices, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Antonio Iskandar (A)

Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Zuzana Misutkova (Z)

Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Aurélia Gryczka (A)

Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Aurélie Navarro (A)

Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Fanny Jeunet (F)

Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Irmela Mantel (I)

Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Jules-Gonin Eye Hospital, Fondation Asile des aveugles, Lausanne, Switzerland.

Francine Behar-Cohen (F)

Centre de Recherche des Cordeliers, Université Pierre et Marie Curie, Paris, France.
INSERM U1138, USPC, Université de Paris-Cité, Sorbonne Université, Paris, France.
Assistance Publique - Hôpitaux de Paris, Ophtalmopôle, Cochin Hospital, Paris, France.
Université Paris Cité, Paris, France.
Hôpital Foch, Suresnes, France.

Timothé Laforest (T)

Laboratory of Applied Photonic Devices, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Christophe Moser (C)

Laboratory of Applied Photonic Devices, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Classifications MeSH