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Regression-Based Strategies to Reduce Refractive Error-Associated Glaucoma Diagnostic Bias When Using OCT and OCT Angiography
- Source :
- Translational vision sciencetechnology. 11(9)
- Publication Year :
- 2022
-
Abstract
- The purpose of this study was to correct refractive error-associated bias in optical coherence tomography (OCT) and OCT angiography (OCTA) glaucoma diagnostic parameters.OCT and OCTA imaging were obtained from participants in the Hong Kong FAMILY cohort. The Avanti/AngioVue OCT/OCTA system was used to measure the peripapillary nerve fiber layer thickness (NFLT), peripapillary nerve fiber layer plexus capillary density (NFLP-CD), macular ganglion cell complex thickness (GCCT), and macular superficial vascular complex vascular density (SVC-VD). Healthy eyes, including ones with axial ametropia, were enrolled for analysis.A total of 1346 eyes from 792 participants were divided into 4 subgroups: high myopia (-6D), low myopia (-6D to -1D), emmetropia (-1D to 1D), and hyperopia (1D). After accounting for age, sex, and signal strength, multivariable regression showed strong dependence in most models for NFLT, GCCT, and NFLP-CD on axial eye length (AL), spherical equivalent (SE) refraction, and apparent optic disc diameter (DD). Optical analysis indicated that AL-related transverse optical magnification variations predominated over anatomic variations and were responsible for these trends. Compared to the emmetropic group, the false positive rates were significantly (Chi-square test P0.003) elevated in both myopia groups for NFLT, NFLP-CD, and GCCT. Regression-based adjustment of these diagnostic parameters with AL or SE significantly (McNemar test P0.03) reduced the elevated false positive rates.Myopic eyes are biased to have lower NFLT, GCCT, and NFLP-CD measurements. AL- and SE-based adjustments were effective in mitigating this bias.Adoption of these adjustments into commercial OCT systems may reduce false positive rates related to refractive error.
Details
- ISSN :
- 21642591
- Volume :
- 11
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Translational vision sciencetechnology
- Accession number :
- edsair.doi.dedup.....9e802f5bac518c6cd853006e848ae238