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Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models

This article presents high-resolution swept-source optical coherence tomography (SS-OCT) imaging data used to elaborate a mechanical model that elucidates the formation of outer retinal corrugations (ORCs) in rhegmatogenous retinal detachments (RRD). The imaging data shared in the repository and pre...

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Autores principales: Melo, Isabela Martins, Nourouzi Darabad, Masoud, Ramachandran, Arun, Oquendo, Paola Lourdes, Hamli, Hesham, Lee, Wei Wei, Nagel, Flavia, Bansal, Aditya, Muni, Rajeev H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898613/
https://www.ncbi.nlm.nih.gov/pubmed/36747979
http://dx.doi.org/10.1016/j.dib.2023.108920
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author Melo, Isabela Martins
Nourouzi Darabad, Masoud
Ramachandran, Arun
Oquendo, Paola Lourdes
Hamli, Hesham
Lee, Wei Wei
Nagel, Flavia
Bansal, Aditya
Muni, Rajeev H.
author_facet Melo, Isabela Martins
Nourouzi Darabad, Masoud
Ramachandran, Arun
Oquendo, Paola Lourdes
Hamli, Hesham
Lee, Wei Wei
Nagel, Flavia
Bansal, Aditya
Muni, Rajeev H.
author_sort Melo, Isabela Martins
collection PubMed
description This article presents high-resolution swept-source optical coherence tomography (SS-OCT) imaging data used to elaborate a mechanical model that elucidates the formation of outer retinal corrugations (ORCs) in rhegmatogenous retinal detachments (RRD). The imaging data shared in the repository and presented in this article is related to the research paper entitled “Outer Retinal Corrugations in Rhegmatogenous Retinal Detachment: The Retinal Pigment Epithelium-Photoreceptor Dysregulation Theory” (Muni et al., AJO, 2022). The dataset consists of 69 baseline cross-sectional SS-OCT scans from 66 patients that were assessed for the presence of ORCs and analyzed considering the clinical features of each case. From the 66 cases, we selected SS-OCT images of 4 RRD patients with visible ORCs and no cystoid macular edema (CME) to validate the mechanical model. We modelled the retina as a composite material consisting of the outer retinal layer (photoreceptor layer) and the inner retinal layer (the part of the retina that excludes the photoreceptor layer) with thicknesses [Formula: see text] and [Formula: see text] and elastic modulus [Formula: see text] and [Formula: see text] , respectively. The thickness of the outer and inner retinal layers and the relative increase in the length of the outer retinal layer (γ) were measured from the SS-OCT images. Measurements from the SS-OCT images of patients with RRD demonstrated a 30% increase (γ=0.3) in the length of the outer retinal layer and a 400% increase in the thickness of the outer retinal layer (To). Using the mathematical model, Eo/Ei ranged between 0.05 to 0.5 to result in ORCs with a similar frequency to those observed in the SS-OCT scans.
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spelling pubmed-98986132023-02-05 Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models Melo, Isabela Martins Nourouzi Darabad, Masoud Ramachandran, Arun Oquendo, Paola Lourdes Hamli, Hesham Lee, Wei Wei Nagel, Flavia Bansal, Aditya Muni, Rajeev H. Data Brief Data Article This article presents high-resolution swept-source optical coherence tomography (SS-OCT) imaging data used to elaborate a mechanical model that elucidates the formation of outer retinal corrugations (ORCs) in rhegmatogenous retinal detachments (RRD). The imaging data shared in the repository and presented in this article is related to the research paper entitled “Outer Retinal Corrugations in Rhegmatogenous Retinal Detachment: The Retinal Pigment Epithelium-Photoreceptor Dysregulation Theory” (Muni et al., AJO, 2022). The dataset consists of 69 baseline cross-sectional SS-OCT scans from 66 patients that were assessed for the presence of ORCs and analyzed considering the clinical features of each case. From the 66 cases, we selected SS-OCT images of 4 RRD patients with visible ORCs and no cystoid macular edema (CME) to validate the mechanical model. We modelled the retina as a composite material consisting of the outer retinal layer (photoreceptor layer) and the inner retinal layer (the part of the retina that excludes the photoreceptor layer) with thicknesses [Formula: see text] and [Formula: see text] and elastic modulus [Formula: see text] and [Formula: see text] , respectively. The thickness of the outer and inner retinal layers and the relative increase in the length of the outer retinal layer (γ) were measured from the SS-OCT images. Measurements from the SS-OCT images of patients with RRD demonstrated a 30% increase (γ=0.3) in the length of the outer retinal layer and a 400% increase in the thickness of the outer retinal layer (To). Using the mathematical model, Eo/Ei ranged between 0.05 to 0.5 to result in ORCs with a similar frequency to those observed in the SS-OCT scans. Elsevier 2023-01-19 /pmc/articles/PMC9898613/ /pubmed/36747979 http://dx.doi.org/10.1016/j.dib.2023.108920 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Melo, Isabela Martins
Nourouzi Darabad, Masoud
Ramachandran, Arun
Oquendo, Paola Lourdes
Hamli, Hesham
Lee, Wei Wei
Nagel, Flavia
Bansal, Aditya
Muni, Rajeev H.
Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models
title Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models
title_full Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models
title_fullStr Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models
title_full_unstemmed Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models
title_short Pathophysiology of outer retinal corrugations: Imaging dataset and mechanical models
title_sort pathophysiology of outer retinal corrugations: imaging dataset and mechanical models
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898613/
https://www.ncbi.nlm.nih.gov/pubmed/36747979
http://dx.doi.org/10.1016/j.dib.2023.108920
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