ArticleTranslational vision science & technology2013
Signal-to-Noise Ratios for Structural and Functional Tests in Glaucoma.
Article in Translational vision science & technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
26 citing papers in PubMed.
- Spatial Decomposition of Longitudinal RNFL Maps Reveals Distinct Modes of Glaucomatous Progression With Structure-Function and Genetic Signatures.Investigative ophthalmology & visual science · 2026Article
- Rates of retinal nerve fiber layer loss in early-stage pseudoexfoliation and primary open-angle glaucoma patients using optical coherence tomography.International ophthalmology · 2024Article
- Comparing Rates of Change in Moderate to Advanced Glaucoma: Retinal Nerve Fiber Layer Versus Bruch Membrane Opening-Minimum Rim Width.American journal of ophthalmology · 2023Article
- Longitudinal Signal-to-Noise Ratio of Perimetry at Different Severities of Glaucoma.Translational vision science & technology · 2023Article
- Association Between Rate of Ganglion Cell Complex Thinning and Rate of Central Visual Field Loss.JAMA ophthalmology · 2023Article
- Contrast-to-Noise Ratios to Evaluate the Detection of Glaucomatous Progression in the Superior and Inferior Hemiretina.Translational vision science & technology · 2022Article
- Relationship Between Flicker Modulation Sensitivity and Retinal Ganglion Cell Related Layer Thicknesses.Translational vision science & technology · 2021Article
- Time Lag Between Functional Change and Loss of Retinal Nerve Fiber Layer in Glaucoma.Investigative ophthalmology & visual science · 2020Article
- Detection of Functional Deterioration in Glaucoma by Trend Analysis Using Overlapping Clusters of Locations.Translational vision science & technology · 2020Article
- Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma.American journal of ophthalmology · 2020Article
- Sample Size Requirements of Glaucoma Clinical Trials When Using Combined Optical Coherence Tomography and Visual Field Endpoints.Scientific reports · 2019Article
- Performance of a Defect-Mapping Microperimetry Approach for Characterizing Progressive Changes in Deep Scotomas.Translational vision science & technology · 2019Article
- Contrast-to-Noise Ratios for Assessing the Detection of Progression in the Various Stages of Glaucoma.Translational vision science & technology · 2019Article
- Optical Coherence Tomography Segmentation Errors of the Retinal Nerve Fiber Layer Persist Over Time.Journal of glaucoma · 2019Article
- Racial Differences in Rate of Change of Spectral-Domain Optical Coherence Tomography-Measured Minimum Rim Width and Retinal Nerve Fiber Layer Thickness.American journal of ophthalmology · 2018Article
- Evaluation of Structure-Function Relationships in Longitudinal Changes of Glaucoma using the Spectralis OCT Follow-Up Mode.Scientific reports · 2018Article
- Differences in the Relation Between Perimetric Sensitivity and Variability Between Locations Across the Visual Field.Investigative ophthalmology & visual science · 2018Article
- Comparison of Widefield and Circumpapillary Circle Scans for Detecting Glaucomatous Neuroretinal Thinning on Optical Coherence Tomography.Translational vision science & technology · 2018Article
- Evaluation of a Region-of-Interest Approach for Detecting Progressive Glaucomatous Macular Damage on Optical Coherence Tomography.Translational vision science & technology · 2018Article
- Detecting Glaucomatous Progression With a Region-of-Interest Approach on Optical Coherence Tomography: A Signal-to-Noise Evaluation.Translational vision science & technology · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposeStandard automated perimetry (SAP) demonstrates high variability. Structural tests such as optical coherence tomography (OCT) may be more repeatable. However, comparisons of their ability to detect glaucomatous change are challenging due to different units and dynamic ranges. This study demonstrates a signal-to-noise analysis to perform comparisons within a common framework.
methodsLongitudinal data were used from 226 eyes of 130 subjects with nonendstage glaucoma (mean deviation [MD] from -19.50 to 2.89 dB). Subjects were tested twice a year for a total of at least six visits. For each eye, MD from SAP and average retinal nerve fiber layer thickness (RNFLT) from OCT were regressed linearly against time. 'Signal' was defined as the rate of change over time, while 'noise' was defined as the SD of residuals from this trend. Individual longitudinal signal-to-noise ratios were calculated. A summary quantification was also calculated, using the 10th percentile of these rates within the cohort as signal and the SD of residuals pooled across all eyes as noise.
resultsIndividual signal-to-noise ratios were significantly better for OCT RNFLT than for SAP MD (
conclusionsRNFLT measured by OCT had a better longitudinal signal-to-noise ratio than MD from SAP. TRANSLATIONAL RELEVANCE: The longitudinal signal-to-noise ratio provides a means to perform a fair comparison between different techniques, which is robust to differences in scale and measurement units. Longitudinal studies in glaucoma should consider reporting signal-to-noise ratios to facilitate interpretation and comparison of results.
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