ArticleInvestigative ophthalmology & visual science2012
Improved estimates of visual field progression using bayesian linear regression to integrate structural information in patients with ocular hypertension.
Article in Investigative ophthalmology & visual science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- A Topographical Analysis of Visual Field Improvement in a Phase 2 Randomized Trial of Nicotinamide and Pyruvate for Open-Angle Glaucoma.Investigative ophthalmology & visual science · 2026Trial
- Evaluation of Visual Field and Imaging Outcomes for Glaucoma Clinical Trials (An American Ophthalomological Society Thesis).Transactions of the American Ophthalmological Society · 2017Trial
- Prediction accuracy of a novel dynamic structure-function model for glaucoma progression.Investigative ophthalmology & visual science · 2014Trial
- A Structure-Function Dataset With Known Rates of Glaucomatous Progression.Translational vision science & technology · 2026Article
- Reliability of gaze-contingent perimetry.Behavior research methods · 2024Article
- Using Fused Data from Perimetry and Optical Coherence Tomography to Improve the Detection of Visual Field Progression in Glaucoma.Bioengineering (Basel, Switzerland) · 2024Article
- A Bayesian Hierarchical Spatial Longitudinal Model Improves Estimation of Local Macular Rates of Change in Glaucomatous Eyes.Translational vision science & technology · 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
- Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements.American journal of ophthalmology · 2023Article
- Effect of Testing Frequency on the Time to Detect Glaucoma Progression With Optical Coherence Tomography (OCT) and OCT Angiography.American journal of ophthalmology · 2023Observational
- Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.Ophthalmology · 2022Article
- Ganglion Cell Complex: The Optimal Measure for Detection of Structural Progression in the Macula.American journal of ophthalmology · 2022Article
- Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method.Translational vision science & technology · 2021Article
- Hierarchical Censored Bayesian Analysis of Visual Field Progression.Translational vision science & technology · 2021Article
- Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models.Translational vision science & technology · 2021Article
- Detection of Glaucoma Deterioration in the Macular Region with Optical Coherence Tomography: Challenges and Solutions.American journal of ophthalmology · 2021Review
- Characterizing and quantifying the temporal relationship between structural and functional change in glaucoma.PloS one · 2021Article
- Structure-Function Analysis in Macular Drusen With Mesopic and Scotopic Microperimetry.Translational vision science & technology · 2020Article
- Evaluation of the external validity of a joint structure-function model for monitoring glaucoma progression.Scientific reports · 2020Article
- Altered spatial summation optimizes visual function in axial myopia.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
purposeTo assess whether neuroretinal rim area (RA) measurements of the optic disc could be used to improve the estimate of the rate of change in visual field (VF) mean sensitivity in patients with ocular hypertension (OHT) using a Bayesian linear regression (BLR), compared to a standard ordinary least squares linear regression (OLSLR) of mean sensitivity (MS) measurements alone.
methodsMS and RA measurements were analyzed from a longitudinal series of 179 patients with OHT visiting Moorfields Eye Hospital between 1992 and 2000. For each patient, linear regression of RA was computed after an appropriate transformation to "scale" RA with MS measurements, and the slope coefficient from this regression was used as a prior for BLR of MS. The BLR then was compared with the OLSLR approach by evaluating how accurately each regression technique predicted future MS measurements.
resultsOn average, BLR was significantly more accurate than OLSLR for series up to 8 measurements long (root-mean-square prediction error [RMSPE] was 0.14 decibels [dB] smaller with BLR than OLSLR; P < 0.001, Wilcoxon signed-rank test), with OLSLR of VF data alone being more accurate for longer series (RMSPE was 0.06 dB smaller with OLSLR than BLR).
conclusionsBLR provides a significantly more accurate estimate of the rate of change in MS than the standard OLSLR approach, especially in short time series, suggesting that structural measurements can be used successfully in statistical models to assist clinicians monitoring VF progression in patients with OHT. Further studies are necessary to validate the method in glaucoma patients.
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