A Custom-Made Semiautomatic Analysis of Retinal Nonperfusion Areas After Dexamethasone for Diabetic Macular Edema.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
06 2020
Historique:
received: 30 01 2020
accepted: 29 03 2020
entrez: 25 8 2020
pubmed: 25 8 2020
medline: 25 8 2020
Statut: epublish

Résumé

To evaluate the changes of retinal capillary nonperfusion areas and retinal capillary vessel density of the superficial capillary plexus (SCP) and deep capillary plexus in patients with diabetes with diabetic macular edema treated with an intravitreal dexamethasone implant (IDI). We enrolled 28 patients with diabetic retinopathy and diabetic macular edema candidates to IDI. All patients underwent widefield optical coherence tomography angiography with PLEX Elite 9000 device with 15 × 9 mm scans centered on the foveal center at baseline, 1 month, 2 months, and 4 months after IDI. In all the patients, the variation of the retinal capillary nonperfusion areas and of the retinal vessel density of the SCP and deep capillary plexus were calculated using an automatic software written in Matlab (MathWorks, Natick, MA). During follow-up, SCP showed a statistically significant reduction of ischemic areas at 1 month after IDI ( Widefield optical coherence tomography angiography showed a decrease in retinal capillary nonperfusion areas after dexamethasone implant suggesting a possible drug-related reperfusion of retinal capillaries particularly evident in the early period. A custom-made automatic analysis of retinal nonperfusion areas may allow a better and precise evaluation of ischemic changes after intravitreal therapy.

Identifiants

pubmed: 32832220
doi: 10.1167/tvst.9.7.13
pii: TVST-20-2308
pmc: PMC7414703
doi:

Substances chimiques

Dexamethasone 7S5I7G3JQL

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

13

Informations de copyright

Copyright 2020 The Authors.

Déclaration de conflit d'intérêts

Disclosure: L. Toto, None; R. D'Aloisio, None; A.M. Chiarelli, None; L. Di Antonio, None; F. Evangelista, None; G. D'Onofrio, None; A. Merla, None; M. Parravano, None; G. Di Marzio, None; R. Mastropasqua, None

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Auteurs

Lisa Toto (L)

Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Rossella D'Aloisio (R)

Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Antonio Maria Chiarelli (AM)

Department of Neuroscience, Imaging, and Clinical Sciences, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Luca Di Antonio (L)

Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Federica Evangelista (F)

Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Giada D'Onofrio (G)

Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Arcangelo Merla (A)

Department of Neuroscience, Imaging, and Clinical Sciences, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Mariacristina Parravano (M)

IRCCS - Fondazione Bietti, Rome, via Livenza 3, 00198, Italy.

Guido Di Marzio (G)

Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. D'Annunzio Chieti-Pescara, Chieti, via dei Vestini 31, 66100, Italy.

Rodolfo Mastropasqua (R)

Institute of Ophthalmology, University of Modena and Reggio Emilia, Modena, Via del Pozzo 71, 41125, Italy.

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Classifications MeSH