4.6 Article

Effect of algorithms and covariates in glaucoma diagnosis with optical coherence tomography angiography

期刊

BRITISH JOURNAL OF OPHTHALMOLOGY
卷 106, 期 12, 页码 1703-1709

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/bjophthalmol-2020-318677

关键词

glaucoma; diagnostic tests; investigation

资金

  1. US National Institutes of Health [R01 EY023285, R01 EY010145, P30 EY010572]
  2. Research to Prevent Blindness (New York, NY)
  3. Champalimaud Foundation (Lisbon, Portugal)

向作者/读者索取更多资源

This study assessed the effects of algorithms and covariates in glaucoma diagnosis with OCTA. The results showed that different algorithms for measuring vascular density were highly correlated but had poor agreement, and age and signal strength were significant covariates. There were no significant differences in diagnostic accuracy between algorithms, between structural and perfusion parameters, and between different measurement regions for glaucoma detection.
Purpose To assess the effects of algorithms and covariates in glaucoma diagnosis with optical coherence tomography angiography (OCTA). Methods In this prospective cross-sectional study, one eye each of 36 normal controls and 64 patients with glaucoma underwent 4.5 mm disc-centred and 6 mm macula-centred OCTA scans. The peripapillary nerve fibre layer plexus capillary density (NFLP-CD) and macular superficial vascular complex vessel density (SVC-VD) were measured using both a commercial algorithm (AngioAnalytics) and a custom algorithm (Center for Ophthalmic Optics & Lasers Angiography Reading Toolkit (COOL-ART)). The nerve fibre layer and ganglion cell complex thicknesses were measured on structural OCT. Results The overall peripapillary NFLP-CD and macular SVC-VD measured with the two algorithms were highly correlated but poorly agreed. Among the normal controls, the perfusion measurements made by both algorithms were significantly correlated with age. AngioAnalytics measurements were also correlated with signal strength index, while COOL-ART measurements were not. These covariates were adjusted. The diagnostic accuracy, measured as the area under the receiver operating characteristic curve for glaucoma detection, was not significantly different between algorithms, between structural and perfusion parameters and between the peripapillary and macular regions (All p>0.05). The macular SVC-VD in the 6 mm square had a significantly higher diagnostic accuracy than that of the central 3 mm square area (p=0.005). Conclusions AngioAnalytics and COOL-ART vessel density measurements are not interchangeable but potentially interconvertible. Age and signal strength are significant covariates that need to be considered. Both algorithms and both peripapillary and macular perfusion parameters have similarly good diagnostic accuracy comparable to structural OCT. A larger macular analytic area provides higher diagnostic accuracy.

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