Association of Diabetic Lesions and Retinal Nonperfusion Using Widefield Multimodal Imaging.


Journal

Ophthalmology. Retina
ISSN: 2468-6530
Titre abrégé: Ophthalmol Retina
Pays: United States
ID NLM: 101695048

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 09 05 2023
revised: 14 07 2023
accepted: 24 07 2023
medline: 4 12 2023
pubmed: 31 7 2023
entrez: 30 7 2023
Statut: ppublish

Résumé

To evaluate the association of microvascular lesions on ultrawidefield (UWF) color fundus (CF) images with retinal nonperfusion (RNP) up to the midperiphery on single-capture widefield (WF) OCT angiography (OCTA) in patients with diabetic retinopathy (DR). Cross-sectional study. Seventy-five eyes of 50 patients with mild to severe nonproliferative DR (NPDR) and proliferative DR (PDR) were included in this analysis. ETDRS level and presence of predominantly peripheral lesions (PPLs) were assessed on UWF-CF images acquired with a Zeiss Clarus 700. Single-capture 65°-WF-OCTA was performed using a PlexElite prototype (Carl Zeiss Meditec, Inc.). A custom grid consisting of a central ETDRS grid extended by 2 rings reaching up to the midperiphery was overlaid to subdivide retinal areas visible on WF-OCTA en face images. Retinal nonperfusion was measured in each area and in total. Nonperfusion index (NPI) was calculated from total RNP. On UWF-CF images, the number of microaneurysms, hemorrhages, neovascularizations, and areas with intraretinal microvascular abnormalities (IRMAs) were evaluated using the same grid. Association of diabetic lesions with RNP was calculated using Spearman correlations (r Median RNP on WF-OCTA was 0 mm The combination of UWF-CF imaging and single-capture WF-OCTA allows precise and noninvasive analysis of the retinal vasculature up to the midperiphery in patients with DR. The presence and extent of IRMAs on CF images may serve as an indicator for underlying RNP, which is more pronounced in eyes with PPLs. Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Identifiants

pubmed: 37517798
pii: S2468-6530(23)00355-X
doi: 10.1016/j.oret.2023.07.020
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1042-1050

Informations de copyright

Copyright © 2023 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Auteurs

Heiko Stino (H)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

Kim Lien Huber (KL)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

Michael Niederleithner (M)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Nikolaus Mahnert (N)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

Aleksandra Sedova (A)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

Thomas Schlegl (T)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Irene Steiner (I)

Center for Medical Data Science, Institute of Medical Statistics, Medical University of Vienna, Vienna, Austria.

Stefan Sacu (S)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

Wolfgang Drexler (W)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Tilman Schmoll (T)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria; Carl Zeiss Meditec, Inc., Dublin, California.

Rainer Leitgeb (R)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Ursula Schmidt-Erfurth (U)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.

Andreas Pollreisz (A)

Department of Ophthalmology, Medical University of Vienna, Vienna, Austria. Electronic address: andreas.pollreisz@meduniwien.ac.at.

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Classifications MeSH