Visual Field Tests

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  Subject Areas on Research

  • 24-2 SITA Standard versus 24-2 SITA Faster in Perimetry-Naive Normal Subjects. 
  • 24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma. 
  • A 71-year-old woman with decreased vision, nyctalopia, and peripheral vision loss. 
  • A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs. 
  • A Portable Platform for Evaluation of Visual Performance in Glaucoma Patients. 
  • A Prospective Longitudinal Study to Investigate Corneal Hysteresis as a Risk Factor for Predicting Development of Glaucoma. 
  • A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression. 
  • A combined index of structure and function for staging glaucomatous damage. 
  • A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucoma. 
  • A shot of adrenaline. 
  • A statistical approach to the evaluation of covariate effects on the receiver operating characteristic curves of diagnostic tests in glaucoma. 
  • AUTOLOGOUS RETINAL TRANSPLANTATION AS A PRIMARY TREATMENT FOR LARGE CHRONIC MACULAR HOLES. 
  • African Descent and Glaucoma Evaluation Study (ADAGES): II. Ancestry differences in optic disc, retinal nerve fiber layer, and macular structure in healthy subjects. 
  • African Descent and Glaucoma Evaluation Study (ADAGES): III. Ancestry differences in visual function in healthy eyes. 
  • African Descent and Glaucoma Evaluation Study (ADAGES): Racial Differences in Optic Disc Hemorrhage and Beta-Zone Parapapillary Atrophy. 
  • African descent and glaucoma evaluation study: asymmetry of structural measures in normal participants. 
  • Aggregate Effects of Intraocular Pressure and Cup-to-Disc Ratio Genetic Variants on Glaucoma in a Multiethnic Asian Population. 
  • Agreement for detecting glaucoma progression with the GDx guided progression analysis, automated perimetry, and optic disc photography. 
  • Anatomic and visual function outcomes in paediatric idiopathic intracranial hypertension. 
  • Applications of deep learning in detection of glaucoma: A systematic review. 
  • Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans. 
  • Association Between Neurocognitive Decline and Visual Field Variability in Glaucoma. 
  • Association Between Serum Vitamin D Level and Rates of Structural and Functional Glaucomatous Progression. 
  • Association between Intraocular Pressure and Rates of Retinal Nerve Fiber Layer Loss Measured by Optical Coherence Tomography. 
  • Association between Rates of Visual Field Progression and Intraocular Pressure Measurements Obtained by Different Tonometers. 
  • Association between progressive retinal nerve fiber layer loss and longitudinal change in quality of life in glaucoma. 
  • Association between rates of binocular visual field loss and vision-related quality of life in patients with glaucoma. 
  • Association of Fast Visual Field Loss With Risk of Falling in Patients With Glaucoma. 
  • Association of Low Luminance Questionnaire With Objective Functional Measures in Early and Intermediate Age-Related Macular Degeneration. 
  • Asymmetric Macular Structural Damage Is Associated With Relative Afferent Pupillary Defects in Patients With Glaucoma. 
  • Automated Beta Zone Parapapillary Area Measurement to Differentiate Between Healthy and Glaucoma Eyes. 
  • Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma. 
  • Baseline 24-2 Central Visual Field Damage Is Predictive of Global Progressive Field Loss. 
  • Baseline Microperimetry and OCT in the RUSH2A Study: Structure-Function Association and Correlation With Disease Severity. 
  • Baseline Visual Field Findings in the RUSH2A Study: Associated Factors and Correlation With Other Measures of Disease Severity. 
  • Baseline optical coherence tomography predicts the development of glaucomatous change in glaucoma suspects. 
  • Baseline visual field characteristics in the ocular hypertension treatment study. 
  • Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes. 
  • Beyond Performance Metrics: Automatic Deep Learning Retinal OCT Analysis Reproduces Clinical Trial Outcome. 
  • Classification of visual field abnormalities in the ocular hypertension treatment study. 
  • Combining structural and functional measurements to improve detection of glaucoma progression using Bayesian hierarchical models. 
  • Combining structural and functional testing for detection of glaucoma. 
  • Comparing rates of retinal nerve fibre layer loss with GDxECC using different methods of visual-field progression. 
  • Comparison of 10-2 and 24-2 Perimetry to Diagnose Glaucoma Using OCT as an Independent Reference Standard. 
  • Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma. 
  • Comparison of different spectral domain OCT scanning protocols for diagnosing preperimetric glaucoma. 
  • Confirmation of visual field abnormalities in the Ocular Hypertension Treatment Study. Ocular Hypertension Treatment Study Group. 
  • Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes. 
  • Corneal Hysteresis and Progressive Retinal Nerve Fiber Layer Loss in Glaucoma. 
  • Corneal hysteresis as a risk factor for glaucoma progression: a prospective longitudinal study. 
  • Corneal hysteresis: ready for prime time? 
  • Corneal thickness as a risk factor for visual field loss in patients with preperimetric glaucomatous optic neuropathy. 
  • Corneal thickness measurements and frequency doubling technology perimetry abnormalities in ocular hypertensive eyes. 
  • Corneal thickness measurements and visual function abnormalities in ocular hypertensive patients. 
  • Correlation Between Macular Integrity Assessment and Optical Coherence Tomography Imaging of Ellipsoid Zone in Macular Telangiectasia Type 2. 
  • Correlation among retinal thickness, optic disc, and visual field in glaucoma patients and suspects: a pilot study. 
  • Deep Retinal Layer Microvasculature Dropout Detected by the Optical Coherence Tomography Angiography in Glaucoma. 
  • Defects of the lamina cribrosa in eyes with localized retinal nerve fiber layer loss. 
  • Detecting Structural Progression in Glaucoma with Optical Coherence Tomography. 
  • Detecting glaucoma using automated pupillography. 
  • Detecting glaucomatous progression using GDx with variable and enhanced corneal compensation using Guided Progression Analysis. 
  • Detection of Glaucoma Progression in Individuals of African Descent Compared With Those of European Descent. 
  • Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning. 
  • Detection of glaucoma progression with stratus OCT retinal nerve fiber layer, optic nerve head, and macular thickness measurements. 
  • Detection of progressive retinal nerve fiber layer loss in glaucoma using scanning laser polarimetry with variable corneal compensation. 
  • Detection of progressive retinal nerve fiber layer thickness loss with optical coherence tomography using 4 criteria for functional progression. 
  • Determinants of ganglion cell-inner plexiform layer thickness measured by high-definition optical coherence tomography. 
  • Determinants of image quality of Heidelberg Retina Tomography II and its association with optic disc parameters in a population-based setting. 
  • Determinants of intraocular pressure and its association with glaucomatous optic neuropathy in Chinese Singaporeans: the Tanjong Pagar Study. 
  • Diagnosing preperimetric glaucoma with spectral domain optical coherence tomography. 
  • Diagnostic Accuracy of the Spectralis and Cirrus Reference Databases in Differentiating between Healthy and Early Glaucoma Eyes. 
  • Diagnostic ability of macular ganglion cell inner plexiform layer measurements in glaucoma using swept source and spectral domain optical coherence tomography. 
  • Diagnostic accuracy of the Matrix 24-2 and original N-30 frequency-doubling technology tests compared with standard automated perimetry. 
  • Differences in visual function and optic nerve structure between healthy eyes of blacks and whites. 
  • Diffuse glaucomatous structural and functional damage in the hemifield without significant pattern loss. 
  • Distribution of ocular perfusion pressure and its relationship with open-angle glaucoma: the singapore malay eye study. 
  • Effect of cataract extraction on automated fields in chronic open-angle glaucoma. 
  • Effect of disease severity on the performance of Cirrus spectral-domain OCT for glaucoma diagnosis. 
  • Eight-Year Incidence of Open-Angle Glaucoma in the Tema Eye Survey. 
  • Estimating Lead Time Gained by Optical Coherence Tomography in Detecting Glaucoma before Development of Visual Field Defects. 
  • Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder. 
  • Estimating the rate of retinal ganglion cell loss in glaucoma. 
  • Evaluation of Postural Control in Patients with Glaucoma Using a Virtual Reality Environment. 
  • Evaluation of choroidal neovascular membranes by Octopus perimetry. 
  • Evaluation of contrast sensitivity in patients with advanced glaucoma: comparison of two tests. 
  • Evaluation of macular thickness measurements for detection of band atrophy of the optic nerve using optical coherence tomography. 
  • Evaluation of progressive neuroretinal rim loss as a surrogate end point for development of visual field loss in glaucoma. 
  • Evaluation of the association between macular damage and disability glare in patients with advanced glaucoma. 
  • Event-based analysis of visual field change can miss fast glaucoma progression detected by a combined structure and function index. 
  • Fast Visual Field Progression Is Associated with Depressive Symptoms in Patients with Glaucoma. 
  • Frequency Doubling Technology Perimetry and Changes in Quality of Life of Glaucoma Patients: A Longitudinal Study. 
  • Frequency doubling technology perimetry abnormalities as predictors of glaucomatous visual field loss. 
  • Frequency doubling technology perimetry abnormalities as predictors of glaucomatous visual field loss. 
  • Frequency of Testing to Detect Visual Field Progression Derived Using a Longitudinal Cohort of Glaucoma Patients. 
  • From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs. 
  • Fundus Autofluorescence Findings in Eyes With Birdshot Chorioretinitis. 
  • Fundus-controlled perimetry (microperimetry): Application as outcome measure in clinical trials. 
  • Glaucoma Progression Analysis software compared with expert consensus opinion in the detection of visual field progression in glaucoma. 
  • Glaucomatous retinal nerve fiber layer thickness loss is associated with slower reaction times under a divided attention task. 
  • Glucose variability and inner retinal sensory neuropathy in persons with type 1 diabetes mellitus. 
  • Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs. 
  • Identifying glaucomatous vision loss with visual-function-specific perimetry in the diagnostic innovations in glaucoma study. 
  • Impact of Different Visual Field Testing Paradigms on Sample Size Requirements for Glaucoma Clinical Trials. 
  • Impact of atypical retardation patterns on detection of glaucoma progression using the GDx with variable corneal compensation. 
  • Improved Detection of Visual Field Progression Using a Spatiotemporal Boundary Detection Method. 
  • Improved prediction of rates of visual field loss in glaucoma using empirical Bayes estimates of slopes of change. 
  • In vivo lamina cribrosa micro-architecture in healthy and glaucomatous eyes as assessed by optical coherence tomography. 
  • Incidence of Glaucoma Progression and Rate of Visual Field Deterioration in a Cohort of Urban Ghanaians. 
  • Incorporating risk factors to improve the assessment of rates of glaucomatous progression. 
  • Influence of diabetes and diabetic retinopathy on the performance of Heidelberg retina tomography II for diagnosis of glaucoma. 
  • Influence of height, weight, and body mass index on optic disc parameters. 
  • Integrating event- and trend-based analyses to improve detection of glaucomatous visual field progression. 
  • Intereye concordance in locations of visual field defects in primary open-angle glaucoma: diagnostic innovations in glaucoma study. 
  • Interobserver agreement and intraobserver reproducibility of the subjective determination of glaucomatous visual field progression. 
  • Is scanning laser polarimetry ready for clinical practice? 
  • Is vision-related quality of life impaired in patients with preperimetric glaucoma? 
  • Large Disparities in Receipt of Glaucoma Care between Enrollees in Medicaid and Those with Commercial Health Insurance. 
  • Learning from data: recognizing glaucomatous defect patterns and detecting progression from visual field measurements. 
  • Long-term intraocular pressure fluctuations and risk of conversion from ocular hypertension to glaucoma. 
  • Long-term structural and functional outcomes of primary congenital glaucoma. 
  • Longitudinal Associations Between Microstructural Changes and Microperimetry in the Early Stages of Age-Related Macular Degeneration. 
  • Longitudinal Study of Visual Function in Dry Age-Related Macular Degeneration at 12 Months. 
  • Longitudinal changes in quality of life and rates of progressive visual field loss in glaucoma patients. 
  • Longitudinal visual field variability and the ability to detect glaucoma progression in black and white individuals. 
  • Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study. 
  • Macular symmetry testing for glaucoma detection. 
  • Management of advanced glaucoma: Characterization and monitoring. 
  • Multimodal imaging and genetic findings in a case of ARSG-related atypical Usher syndrome. 
  • Normal visual field test results following glaucomatous visual field end points in the Ocular Hypertension Treatment Study. 
  • Optic disc haemorrhages at baseline as a risk factor for poor outcome in the Idiopathic Intracranial Hypertension Treatment Trial. 
  • Optic disc melanocytoma and glaucoma. 
  • Pattern electroretinogram and psychophysical tests of visual function for discriminating between healthy and glaucoma eyes. 
  • Patterns of glaucomatous visual field progression identified by three progression criteria. 
  • Performance of the 10-2 and 24-2 Visual Field Tests for Detecting Central Visual Field Abnormalities in Glaucoma. 
  • Performance of the Moorfields motion displacement test for identifying eyes with glaucoma. 
  • Peripapillary and Macular Vessel Density in Patients with Glaucoma and Single-Hemifield Visual Field Defect. 
  • Peripheral artery disease and glaucoma: the singapore malay eye study. 
  • Positional independence of optic nerve head and retinal nerve fiber layer thickness measurements with spectral-domain optical coherence tomography. 
  • Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs. 
  • Predicting Vision-Related Disability in Glaucoma. 
  • Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurements. 
  • Predicting progression of glaucoma from rates of frequency doubling technology perimetry change. 
  • Prediction of functional loss in glaucoma from progressive optic disc damage. 
  • Presentation and Progression of Papilledema in Cerebral Venous Sinus Thrombosis. 
  • Prevalence of glaucoma in an urban West African population: the Tema Eye Survey. 
  • Progression of patterns (POP): a machine classifier algorithm to identify glaucoma progression in visual fields. 
  • Quantification of macular ischaemia in sickle cell retinopathy. 
  • Quantitative detection of glaucomatous damage at the posterior pole by retinal thickness mapping. A pilot study. 
  • Rapid initial OCT RNFL thinning is predictive of faster visual field loss during extended follow-up in glaucoma. 
  • Rate and Pattern of Rim Area Loss in Healthy and Progressing Glaucoma Eyes. 
  • Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions. 
  • Rates of Glaucomatous Structural and Functional Change From a Large Clinical Population: The Duke Glaucoma Registry Study. 
  • Rates of Retinal Nerve Fiber Layer Loss in Contralateral Eyes of Glaucoma Patients with Unilateral Progression by Conventional Methods. 
  • Rates of progressive retinal nerve fiber layer loss in glaucoma measured by scanning laser polarimetry. 
  • Recent developments in visual field testing for glaucoma. 
  • Recovery of the neurosensory retina after macular translocation surgery is independent of preoperative macular sensitivity in neovascular age-related macular degeneration. 
  • Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma. 
  • Relationship between ganglion cell layer thickness and estimated retinal ganglion cell counts in the glaucomatous macula. 
  • Relationship between patterns of visual field loss and retinal nerve fiber layer thickness measurements. 
  • Relationship of SITA and full-threshold standard perimetry to frequency-doubling technology perimetry in glaucoma. 
  • Relationship of the 24-hour pattern of intraocular pressure with optic disc appearance in primary open-angle glaucoma. 
  • Reproducibility of visual field end point criteria for standard automated perimetry, full-threshold, and Swedish interactive thresholding algorithm strategies: diagnostic innovations in glaucoma study. 
  • RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure. 
  • Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression. 
  • Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma. 
  • Retinal ganglion cell count estimates associated with early development of visual field defects in glaucoma. 
  • Retinal nerve fiber layer thickness measurements with scanning laser polarimetry predict glaucomatous visual field loss. 
  • Retinal nerve fibre layer thickness measurements in patients using chloroquine. 
  • Retinal vessel caliber is associated with the 10-year incidence of glaucoma: the Blue Mountains Eye Study. 
  • Retinal vessel diameter and open-angle glaucoma: the Blue Mountains Eye Study. 
  • Sample Size Requirements of Glaucoma Clinical Trials When Using Combined Optical Coherence Tomography and Visual Field Endpoints. 
  • Short-wavelength automated perimetry can predict glaucomatous standard visual field loss by ten years. 
  • Specificity of various cluster criteria used for the detection of glaucomatous visual field abnormalities. 
  • Spectral-Domain Optical Coherence Tomography of the Vitreopapillary Interface in Acute Nonarteritic Anterior Ischemic Optic Neuropathy. 
  • Structural Change Can Be Detected in Advanced-Glaucoma Eyes. 
  • Structure-function relationship in glaucoma using spectral-domain optical coherence tomography. 
  • Structure-function relationships using confocal scanning laser ophthalmoscopy, optical coherence tomography, and scanning laser polarimetry. 
  • Structure-function relationships using the Cirrus spectral domain optical coherence tomograph and standard automated perimetry. 
  • The African Descent and Glaucoma Evaluation Study (ADAGES): design and baseline data. 
  • The African Descent and Glaucoma Evaluation Study (ADAGES): predictors of visual field damage in glaucoma suspects. 
  • The Association Between Macula and ONH Optical Coherence Tomography Angiography (OCT-A) Vessel Densities in Glaucoma, Glaucoma Suspect, and Healthy Eyes. 
  • The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma. 
  • The Effect of Gender on Visual Field Sensitivity: The Singapore Chinese Eye Study. 
  • The Effect of Testing Reliability on Visual Field Sensitivity in Normal Eyes: The Singapore Chinese Eye Study. 
  • The Impact of Location of Progressive Visual Field Loss on Longitudinal Changes in Quality of Life of Patients with Glaucoma. 
  • The Ocular Hypertension Treatment Study: design and baseline description of the participants. 
  • The Relationship Between Asymmetries of Corneal Properties and Rates of Visual Field Progression in Glaucoma Patients. 
  • The Relative Odds of Progressing by Structural and Functional Tests in Glaucoma. 
  • The assessment of the efficacy of glaucoma control by static perimetry, or "point" analysis of clinical visual thresholds. 
  • The impact of the perimetric measurement scale, sample composition, and statistical method on the structure-function relationship in glaucoma. 
  • The incidence of neovascular membranes and visual field defects from optic nerve head drusen in children. 
  • The influence of oral statin medications on progression of glaucomatous visual field loss: A propensity score analysis. 
  • The methodology of visual field testing with frequency doubling technology in the National Health and Nutrition Examination Survey, 2005-2006. 
  • The relationship between cup-to-disc ratio and estimated number of retinal ganglion cells. 
  • The relationship between glaucoma medication adherence, eye drop technique, and visual field defect severity. 
  • The relationship between visual field index and estimated number of retinal ganglion cells in glaucoma. 
  • The role of standard automated perimetry and newer functional methods for glaucoma diagnosis and follow-up. 
  • The structure and function relationship in glaucoma: implications for detection of progression and measurement of rates of change. 
  • The tube versus trabeculectomy study: design and baseline characteristics of study patients. 
  • Tug of war. 
  • Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields. 
  • Validation of Rates of Mean Deviation Change as Clinically Relevant End Points for Glaucoma Progression. 
  • Visual Crowding in Glaucoma. 
  • Visual Field Outcomes in the Tube Versus Trabeculectomy Study. 
  • Visual Function Metrics in Early and Intermediate Dry Age-related Macular Degeneration for Use as Clinical Trial Endpoints. 
  • Visual field loss after macular hole surgery. 
  • Visual field progression. 
  • β-Zone Parapapillary Atrophy and Rates of Glaucomatous Visual Field Progression: African Descent and Glaucoma Evaluation Study. 
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  Keywords of People

  • Stinnett, Sandra Sue, Associate Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics