Perivenular Capillary Rarefaction in Diabetic Retinopathy: Interdevice Characterization and Association to Clinical Staging.
Autor: | Crincoli E; Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil 40, Créteil, France.; Catholic University of 'Sacro Cuore', Rome, Italy., Colantuono D; Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil 40, Créteil, France., Miere A; Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil 40, Créteil, France., Zhao Z; Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil 40, Créteil, France., Ferrara S; Catholic University of 'Sacro Cuore', Rome, Italy., Souied EH; Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil 40, Créteil, France. |
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Jazyk: | angličtina |
Zdroj: | Ophthalmology science [Ophthalmol Sci] 2023 Jan 03; Vol. 3 (2), pp. 100269. Date of Electronic Publication: 2023 Jan 03 (Print Publication: 2023). |
DOI: | 10.1016/j.xops.2023.100269 |
Abstrakt: | Purpose: Geometric perfusion deficit (GPD) is a newly described OCT angiography (OCTA) parameter identifying the total area of presumed retinal ischemia. The aim of our study is to characterize differences in GPD and other common quantitative OCTA parameters between macular full field, perivenular zones, and periarteriolar zones for each clinical stage of nonproliferative diabetic retinopathy (DR) and to assess the influence of ultrahigh-speed acquisition and averaging on the described differences. Design: Prospective observational study. Participants: Forty-nine patients, including 11 (22.4%) with no sign of DR, 12 (24.5%) with mild DR, 13 (26.5%) with moderate DR, and 13 (26.5%) with severe DR. Patients with diabetic macular edema, proliferative DR, media opacity, head tremor, and overlapping retinal diseases or systemic diseases influencing OCTA were excluded. Methods: OCT angiography was performed 3 times for each patient: 1 using Solix Fullrange single volume (V1) mode, 1 using Solix Fullrange 4 volumes mode with automatically averaged scan (V4), and 1 using AngioVue. Main Outcome Measures: Full macular, periarteriolar, and perivenular perfusion density (PD), vessel length density (VLD), vessel density index, and GPD for both the superficial capillary plexus (SCP) and deep capillary plexus (DCP). Results: In patients showing no sign of DR, PD and VLD were significantly lower in the perivenular area in both the DCP and SCP using V1 and V4, whereas GPD was significantly higher in the perivenular zone in the DCP and SCP with all 3 devices. In patients with mild DR, all 3 measurements (PD, VLD, and GPD) were significantly different in the perivenular zone with all 3 devices. In patients with moderate DR, PD and VLD were lower in the DCP and SCP when measured with V1 and V4. Moreover, GPD was higher in the perivenular zone in the DCP with all 3 devices, whereas only V4 detected a difference in the SCP. In severe DR, only V4 detected a lower PD and VLD and a higher GPD in the DCP of the perivenular zone. V4 also detected a higher GPD in the SCP. Conclusions: Geometric perfusion deficit highlights prevalent perivenular location of macular capillary ischemia in all stages of DR. In severe DR patients, only averaging technology allows detection of the same finding. Financial Disclosures: The author(s) have no proprietary or commercial interest in any materials discussed in this article. (© 2023 Published by Elsevier Inc. on behalf of American Academy of Ophthalmology.) |
Databáze: | MEDLINE |
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