Sectorwise Visual Field Simulation Using Optical Coherence Tomographic Angiography Nerve Fiber Layer Plexus Measurements in Glaucoma.


Journal

American journal of ophthalmology
ISSN: 1879-1891
Titre abrégé: Am J Ophthalmol
Pays: United States
ID NLM: 0370500

Informations de publication

Date de publication:
04 2020
Historique:
received: 16 07 2019
revised: 14 11 2019
accepted: 14 11 2019
pubmed: 27 11 2019
medline: 10 5 2020
entrez: 27 11 2019
Statut: ppublish

Résumé

To simulate 24-2 visual field (VF) using optical coherence tomographic angiography (OCTA) for glaucoma evaluation. Cross-sectional study. One eye each of 39 glaucoma and 31 age-matched normal participants was scanned using 4.5-mm OCTA scans centered on the disc. The peripapillary retinal nerve fiber layer plexus capillary density (NFLP-CD, %area) was measured. The NFLP-CD and 24-2 VF maps were divided into 8 corresponding sectors using an extension of Garway-Heath scheme. Sector NFLP-CD was transformed to a logarithmic dB scale and converted to sector simulated VF deviation maps. Comparing simulated and actual 24-2 VF maps, the worst sector was in the same or adjacent location in the same hemisphere 97% of the time. VF mean deviation (VF-MD) was simulated by NFLP mean deviation (NFLP-MD). The differences between NFLP-MD and VF-MD in early, moderate, and severe glaucoma stages were -0.9 ± 2.0, 0.9 ± 2.9, and 5.8 ± 3.2 dB. NFLP-MD had better (P = .015) between-visit reproducibility (0.63 dB pooled standard deviation) than VF-MD (1.03 dB). NFLP-MD had a significantly higher sensitivity than VF-MD (P < .001) and overall NFL thickness (P = .031). OCTA-based simulated VF agreed well with actual 24-2 VF in terms of both the location and severity of glaucoma damage, with the exception of severe glaucoma in which the simulation tended to underestimate severity. The NFLP-MD had better reproducibility than actual VF-MD and holds promise for improving glaucoma monitoring. The NFLP-MD had better diagnostic accuracy than both VF-MD and overall NFL thickness and may be useful for early glaucoma diagnosis.

Identifiants

pubmed: 31770516
pii: S0002-9394(19)30575-6
doi: 10.1016/j.ajo.2019.11.018
pmc: PMC7113124
mid: NIHMS1555286
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

57-68

Subventions

Organisme : NEI NIH HHS
ID : P30 EY010572
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY010145
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY023285
Pays : United States
Organisme : NEI NIH HHS
ID : R21 EY027007
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

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Auteurs

Liang Liu (L)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Ou Tan (O)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Eliesa Ing (E)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

John C Morrison (JC)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Beth Edmunds (B)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Ellen Davis (E)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Seema Gupta (S)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Lorinna H Lombardi (LH)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

Yali Jia (Y)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA.

David Huang (D)

Casey Eye Institute and Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon, USA. Electronic address: davidhuang@alum.mit.edu.

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