ArticleOptometry and vision science : official publication of the American Academy of Optometry2019
Using Small Samples to Evaluate Normative Reference Ranges for Retinal Imaging Measures.
Article in Optometry and vision science : official publication of the American Academy of Optometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Registration-Based Analysis of the Three-Dimensional Shape of the Retinal Nerve Fiber Layer for Detection of Glaucomatous Defects.Translational vision science & technology · 2026Article
- Normative retinal thickness values in children, measured by swept-source optical coherence tomography.Medical hypothesis, discovery & innovation ophthalmology journal · 2025Article
- Predicting perimetric defects from en face maps of retinal nerve fibre layer reflectance.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2024Article
- Structure-function assessment in glaucoma based on perimetric sensitivity and en face optical coherence tomography images of retinal nerve fiber bundles.Scientific reports · 2023Article
- Within-eye and between-subject variability for reflectance of the retinal nerve fibre layer.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022Article
- An Automated Method for Assessing Topographical Structure-Function Agreement in Abnormal Glaucomatous Regions.Translational vision science & technology · 2020Article
- Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects.Optometry and vision science : official publication of the American Academy of Optometry · 2020Article
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Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
significanceRetinal nerve fiber layer (RNFL) deviation maps often incorrectly score healthy eyes as having wedge defects. This study shows how to identify such problems early in the development of normative databases. PURPOSE: After reference values are embedded in devices, clinicians and researchers often learn about issues that cause false-positive rates in healthy eyes. Here we show a way to detect and address such issues early on.
methodsThe thickness of the RNFL was measured for both eyes of 60 healthy younger adults aged 20 to 31 years and one eye each of 30 healthy older adults aged 54 to 82 years. Deviation maps were developed from the left eyes of the first 30 younger adults, and between-subject variability in the shape of the RNFL was assessed. This was repeated in their right eyes, in the second group of younger adults and in the older adults.
resultsFor the first group of 30 healthy young adults, between-subject variability in the location of the region of greatest thickness meant that 58% of the pixels below the fifth percentile in the left eyes were from four people whose deviation maps had wedge-shaped patterns, as did the deviation maps for the nine right eyes with 87% of the pixels below the fifth percentile. Wedge patterns were also seen in deviation maps for 8 left eyes and 11 right eyes of the second group of young adults and for 9 eyes of the older adults.
conclusionsEvaluation of RNFL thickness maps from 30 young adults was sufficient to determine that between-subject variability in the shape of the RNFL can cause wedge patterns in RNFL deviation maps in many healthy eyes.
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