Article Text
Abstract
Background/aims To investigate the relationship between the foveal avascular zone (FAZ) parameters assessed by optical coherence tomography angiography (OCTA) and central visual field parameters in glaucoma and healthy subjects.
Methods One hundred and eighty-eight subjects (248 eyes), including 24 healthy (38 eyes), 37 glaucoma suspect (42 eyes, and 127 primary open angle glaucoma (POAG) patients (168 eyes), underwent imaging using OCTA and standard automated perimetry using the 24-2 and 10-2 Swedish Interactive Thresholding Algorithm. OCTA-based and OCT-based FAZ parameters (superficial FAZ area, FAZ circumference), foveal vessel density (FD300) and foveal thickness were measured. The correlation between FAZ parameters and visual field parameters was assessed using linear mixed model.
Results Axial length adjusted-FAZ area was not different among the three groups (mean (95% CI)): in healthy 0.31 (0.27 to 0.36) mm2, glaucoma suspect 0.29 (0.26 to 0.31) mm2 and POAG eyes 0.28 (0.27 to 0.30) mm2 (p=0.578). FD300 was lower in glaucoma suspect 49.1% (47.9% to 50.4%) and POAG eyes 48.7% (48.1% to 49.4%) than healthy eyes 50.5% (49.3% to 51.7%) though the difference was not statistically significant (p=0.071). Lower FD300 was associated with worse 24-2 and 10-2 visual field mean deviation and foveal threshold in multivariable linear mixed models (all p<0.05). In addition, a smaller FAZ area was associated with lower intraocular pressure (IOP) (p=0.026).
Conclusions The FD300, but not the FAZ area was correlated with 10° central visual field mean deviation and foveal threshold in healthy, glaucoma suspect and POAG eyes. In contrast, a smaller FAZ area was associated with lower IOP.
- glaucoma
- imaging
- intraocular pressure
- macula
Data availability statement
Data are available on reasonable request. The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request.
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Data availability statement
Data are available on reasonable request. The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request.
Footnotes
Contributors Involved in design and conduct of the study: TN, WHO, SM and RNW. Data collection: TN, SM, HH, RCCD, AK, NE-N and JR. Analysis and interpretation of data: TN, WHO, SM and RNW. Writing: TN, AY and RNW. Critical revision: TN, SM, TS and RNW. Approval of the manuscript: TN, WHO, SM, AY, HH, RCCD, AK, TS, NE-N, JR, LMZ and RNW.
Funding National Institutes of Health/National Eye Institute Grants R01EY029058, R01EY011008, U10EY14267, R01EY026574, R01EY019869 and R01EY027510; Core Grant P30EY022589; an unrestricted grant from Research to Prevent Blindness (New York, NY); Inje University research grant (grant no: 20190009); UC Tobacco Related Disease Research Programme (T31IP1511); German Research Foundation (DFG, research fellowship grant RE 4155/1-1); and grants for participants’ glaucoma medications from Alcon, Allergan, Pfizer, Merck and Santen.
Competing interests LMZ: Financial support (research instruments)—Heidelberg Engineering, Carl Zeiss Meditec, Optovue, Topcon; Robert N. Weinreb: Financial support (research instruments)—Heidelberg Engineering, Carl Zeiss Meditec, Konan Medical, Optovue, Centervue, Bausch & Lomb; Consultant—Aerie Pharmaceuticals, Allergan, Equinox, Eyenovia; Patent—Toromedes, Carl Zeiss Meditec.
Provenance and peer review Not commissioned; externally peer reviewed.
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