ArticleTranslational vision science & technology2018
Development of a Visual Field Simulation Model of Longitudinal Point-Wise Sensitivity Changes From a Clinical Glaucoma Cohort.
Article in Translational vision science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Comparison of Methods for Visual Field Progression in Eyes With Central Visual Field Defects.Translational vision science & technology · 2025Article
- Personalizing the Transition From 24-2 to 10-2 Visual Field Testing Using ARREST - A Simulation Study.Translational vision science & technology · 2025Article
- Multicenter Normative Data for Mesopic Microperimetry.Investigative ophthalmology & visual science · 2024Article
- Microperimetry Characteristics of Regions With a Truly Nonresponding Location: Implications for Atrophic Age-Related Macular Degeneration.Investigative ophthalmology & visual science · 2024Article
- Estimating the Distribution of True Rates of Visual Field Progression in Glaucoma.Translational vision science & technology · 2024Article
- Improving the Accuracy and Speed of Visual Field Testing in Glaucoma With Structural Information and Deep Learning.Translational vision science & technology · 2023Article
- Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma.Translational vision science & technology · 2023Article
- A Data-Driven Model for Simulating Longitudinal Visual Field Tests in Glaucoma.Translational vision science & technology · 2023Article
- The Frontloading Fields Study (FFS): Detecting Changes in Mean Deviation in Glaucoma Using Multiple Visual Field Tests Per Clinical Visit.Translational vision science & technology · 2021Article
- Hierarchical Censored Bayesian Analysis of Visual Field Progression.Translational vision science & technology · 2021Article
- Improving event-based progression analysis in glaucomatous visual fields.Scientific reports · 2021Article
- Clinical observations of acute onset of myopic optic neuropathy in a real-world setting.International journal of ophthalmology · 2021Article
- Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma.American journal of ophthalmology · 2020Article
- Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder.Scientific reports · 2019Article
- Quantification of Visual Field Variability in Glaucoma: Implications for Visual Field Prediction and Modeling.Translational vision science & technology · 2019Article
- Comparison of Visual Field Point-Wise Event-Based and Global Trend-Based Analysis for Detecting Glaucomatous Progression.Translational vision science & technology · 2018Article
- Comparing 10-2 and 24-2 Visual Fields for Detecting Progressive Central Visual Loss in Glaucoma Eyes with Early Central Abnormalities.Ophthalmology. GlaucomaObservational
- A Joint Bayesian Longitudinal Model for Macular Structure-Function Correlations in Glaucoma.Ophthalmology scienceArticle
- Improving the Feasibility of Glaucoma Clinical Trials Using Trend-Based Visual Field Progression Endpoints.Ophthalmology. GlaucomaObservational
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
purposeTo develop a new visual field simulation model that can recreate real-world longitudinal results at a point-wise level from a clinical glaucoma cohort.
methodsA cohort of 367 glaucoma eyes from 265 participants seen over 10.1 ± 2.5 years were included to obtain estimates of "true" longitudinal visual field point-wise sensitivity and estimates of measurement variability. These two components were then combined to reconstruct visual field results in a manner that accounted for correlated measurement error. To determine how accurately the simulated results reflected the clinical cohort, longitudinal variability estimates of mean deviation (MD) were determined by calculating the SD of the residuals from linear regression models fitted to the MD values over time for each eye in the simulated and clinical cohorts. The new model was compared to a previous model that does not account for spatially correlated errors.
resultsThe SD of all the residuals for the clinical and simulated cohorts was 1.1 dB (95% confidence interval [CI]: 1.1-1.2 dB) and 1.1 dB (95% CI: 1.1-1.1 dB), respectively, whereas it was 0.4 dB (95% CI: 0.4-0.4 dB) using the previous simulation model that did not account for correlated errors.
conclusionsA new simulation model accounting for correlated measurement errors between visual field locations performed better than a previous model in estimating visual field variability in glaucoma. TRANSLATIONAL RELEVANCE: This model can provide a powerful framework to better understand use of visual field testing in clinical practice and trials and to evaluate new methods for detecting progression.
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