Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters.
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Kouros Nouri-Mahdavi | Joseph Caprioli | Ramin Daneshvar | J. Caprioli | K. Nouri-Mahdavi | Sharon Henry | A. Yarmohammadi | S. Law | R. Daneshvar | R. Alizadeh | Adeleh Yarmohammadi | Sharon Henry | Reza Alizadeh | Simon K. Law
[1] Jean-Claude Mwanza,et al. Glaucoma diagnostic accuracy of ganglion cell-inner plexiform layer thickness: comparison with nerve fiber layer and optic nerve head. , 2012, Ophthalmology.
[2] Gang Li,et al. Predictive factors for glaucomatous visual field progression in the Advanced Glaucoma Intervention Study. , 2004, Ophthalmology.
[3] J. Schuman,et al. Combining measurements from three anatomical areas for glaucoma diagnosis using Fourier-domain optical coherence tomography , 2015, British Journal of Ophthalmology.
[4] Joseph Caprioli,et al. The importance of rates in glaucoma. , 2008, American journal of ophthalmology.
[5] Kouros Nouri-Mahdavi,et al. Pointwise rates of visual field progression cluster according to retinal nerve fiber layer bundles. , 2012, Investigative ophthalmology & visual science.
[6] C. Leung,et al. Impact of Rates of Change of Lamina Cribrosa and Optic Nerve Head Surface Depths on Visual Field Progression in Glaucoma. , 2017, Investigative ophthalmology & visual science.
[7] B. Bengtsson,et al. A visual field index for calculation of glaucoma rate of progression. , 2008, American journal of ophthalmology.
[8] Youngrok Lee,et al. Retinal nerve fiber layer normative classification by optical coherence tomography for prediction of future visual field loss. , 2011, Investigative ophthalmology & visual science.
[9] Young H. Kwon,et al. Primary open-angle glaucoma. , 2009, The New England journal of medicine.
[10] M. Prins,et al. An evidence-based review of prognostic factors for glaucomatous visual field progression. , 2013, Ophthalmology.
[11] P. Lichter. Variability of expert observers in evaluating the optic disc. , 1976, Transactions of the American Ophthalmological Society.
[12] G. Tomita,et al. Baseline thickness of macular ganglion cell complex predicts progression of visual field loss , 2013, Graefe's Archive for Clinical and Experimental Ophthalmology.
[13] R. Ritch,et al. Risk factors for visual field progression in treated glaucoma. , 2010, Archives of ophthalmology.
[14] M. C. Leske,et al. Measuring visual field progression in the Early Manifest Glaucoma Trial. , 2003, Acta ophthalmologica Scandinavica.
[15] Ryo Asaoka,et al. Applying "Lasso" Regression to Predict Future Visual Field Progression in Glaucoma Patients. , 2015, Investigative ophthalmology & visual science.
[16] S. Yun,et al. Twenty-four hour ocular perfusion pressure fluctuation and risk of normal-tension glaucoma progression. , 2009, Investigative ophthalmology & visual science.
[17] F. Medeiros,et al. Prediction of functional loss in glaucoma from progressive optic disc damage. , 2009, Archives of ophthalmology.
[18] Robert N Weinreb,et al. Combining structural and functional measurements to improve estimates of rates of glaucomatous progression. , 2012, American journal of ophthalmology.
[19] J. Schuman,et al. Baseline Fourier-Domain Optical Coherence Tomography Structural Risk Factors for Visual Field Progression in the Advanced Imaging for Glaucoma Study. , 2016, American journal of ophthalmology.
[20] Lindsey S. Folio,et al. Retinal nerve fibre layer and visual function loss in glaucoma: the tipping point , 2011, British Journal of Ophthalmology.
[21] Hiroshi Murata,et al. Applying “Lasso” Regression to Predict Future Glaucomatous Visual Field Progression in the Central 10 Degrees , 2016, Journal of glaucoma.
[22] Douglas Hoffman,et al. Comparison of methods to predict visual field progression in glaucoma. , 2005, Archives of ophthalmology.
[23] J. Schuman,et al. Predicting Development of Glaucomatous Visual Field Conversion Using Baseline Fourier-Domain Optical Coherence Tomography. , 2016, American journal of ophthalmology.
[24] H. Quigley,et al. The number of people with glaucoma worldwide in 2010 and 2020 , 2006, British Journal of Ophthalmology.
[25] Ivan Maynart Tavares,et al. The disc damage likelihood scale: Diagnostic accuracy and correlations with cup-to-disc ratio, structural tests and standard automated perimetry , 2017, PloS one.
[26] M. Ryan,et al. Monitoring ocular hypertension, how much and how often? A cost-effectiveness perspective , 2015, British Journal of Ophthalmology.
[27] Hiroshi Murata,et al. A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients , 2016, Scientific Reports.
[28] G. Richard,et al. Glaucoma progression is associated with decreased blood flow velocities in the short posterior ciliary artery , 2006, British Journal of Ophthalmology.
[29] Robert N Weinreb,et al. The structure and function relationship in glaucoma: implications for detection of progression and measurement of rates of change. , 2012, Investigative ophthalmology & visual science.
[30] J. Caprioli,et al. Prediction of visual field progression in glaucoma. , 2004, Investigative ophthalmology & visual science.
[31] David P Crabb,et al. Monitoring glaucomatous visual field progression: the effect of a novel spatial filter. , 2007, Investigative ophthalmology & visual science.
[32] Robert N Weinreb,et al. Comparison of HRT-3 glaucoma probability score and subjective stereophotograph assessment for prediction of progression in glaucoma. , 2008, Investigative ophthalmology & visual science.
[33] K. Sung,et al. Lamina Cribrosa-Related Parameters Assessed by Optical Coherence Tomography for Prediction of Future Glaucoma Progression , 2016, Current eye research.
[34] J. Crowston,et al. Validation of a predictive model to estimate the risk of conversion from ocular hypertension to glaucoma. , 2005, Archives of ophthalmology.
[35] F. Medeiros,et al. Improved Prediction of Rates of Visual Field Loss in Glaucoma Using Empirical Bayes Estimates of Slopes of Change , 2012, Journal of glaucoma.
[36] A. Tuulonen,et al. Nerve fiber layer defects with normal visual fields. Do normal optic disc and normal visual field indicate absence of glaucomatous abnormality? , 1993, Ophthalmology.
[37] F. Fitzke,et al. Improving the prediction of visual field progression in glaucoma using spatial processing. , 1997, Ophthalmology.
[38] Antonio Martínez,et al. Predictive value of colour Doppler imaging in a prospective study of visual field progression in primary open-angle glaucoma. , 2005, Acta ophthalmologica Scandinavica.
[39] M. C. Leske,et al. Predictors of long-term progression in the early manifest glaucoma trial. , 2007, Ophthalmology.
[40] M. Ang,et al. Central corneal thickness in glaucoma , 2016, Current opinion in ophthalmology.
[41] M. Prins,et al. Prediction of Glaucomatous Visual Field Progression Using Baseline Clinical Data , 2016, Journal of glaucoma.
[42] A. Tafreshi,et al. Incorporating risk factors to improve the assessment of rates of glaucomatous progression. , 2012, Investigative ophthalmology & visual science.
[43] A. Tafreshi,et al. Baseline optical coherence tomography predicts the development of glaucomatous change in glaucoma suspects. , 2006, American journal of ophthalmology.
[44] Jong Jin Jung,et al. Glaucoma progression in eyes with a history of refractive corneal surgery. , 2012, Investigative ophthalmology & visual science.
[45] Richard A. Russell,et al. Improved estimates of visual field progression using bayesian linear regression to integrate structural information in patients with ocular hypertension. , 2012, Investigative ophthalmology & visual science.
[46] Chris A. Johnson,et al. Structure and function evaluation (SAFE): I. criteria for glaucomatous visual field loss using standard automated perimetry (SAP) and short wavelength automated perimetry (SWAP). , 2002, American journal of ophthalmology.
[47] L. Pablo,et al. Role of Color Doppler Imaging in Early Diagnosis and Prediction of Progression in Glaucoma , 2013, BioMed research international.
[48] Tien Yin Wong,et al. Diagnostic Performance of the ISNT Rule for Glaucoma Based on the Heidelberg Retinal Tomograph. , 2013, Translational vision science & technology.
[49] Robert N Weinreb,et al. Retinal nerve fiber layer thickness measurements with scanning laser polarimetry predict glaucomatous visual field loss. , 2004, American journal of ophthalmology.
[50] M. Nicolela,et al. Properties of the statpac visual field index. , 2011, Investigative ophthalmology & visual science.
[51] G. Spaeth,et al. The disc damage likelihood scale: reproducibility of a new method of estimating the amount of optic nerve damage caused by glaucoma. , 2002, Transactions of the American Ophthalmological Society.
[52] B. Bengtsson,et al. Rates of visual field progression in clinical glaucoma care , 2012, Acta ophthalmologica.
[53] Chris A. Johnson,et al. The Ocular Hypertension Treatment Study: baseline factors that predict the onset of primary open-angle glaucoma. , 2002 .
[54] Ryo Asaoka,et al. Measuring Visual Field Progression in the Central 10 Degrees Using Additional Information from Central 24 Degrees Visual Fields and ‘Lasso Regression’ , 2013, PloS one.
[55] R. Ritch,et al. Risk Calculation Variability Over Time in Ocular Hypertensive Subjects , 2014, Journal of glaucoma.
[56] S. Resnikoff,et al. Global data on visual impairment in the year 2002. , 2004, Bulletin of the World Health Organization.
[57] Jost B Jonas,et al. Neuroretinal rim width ratios in morphological glaucoma diagnosis , 1998, The British journal of ophthalmology.
[58] Robert Ritch,et al. A validated risk calculator to assess risk and rate of visual field progression in treated glaucoma patients. , 2012, Investigative ophthalmology & visual science.
[59] M. Nicolela,et al. Incidence and rates of visual field progression after longitudinally measured optic disc change in glaucoma. , 2009, Ophthalmology.
[60] Seung Woo Hong,et al. Glaucoma Specialist Optic Disc Margin, Rim Margin, and Rim Width Discordance in Glaucoma and Glaucoma Suspect Eyes. , 2018, American journal of ophthalmology.
[61] The Fast Component of Visual Field Decay Rate Correlates With Disc Rim Area Change Throughout the Entire Range of Glaucomatous Damage. , 2015, Investigative ophthalmology & visual science.
[62] Robert Ritch,et al. A Test of a Model of Glaucomatous Damage of the Macula With High-Density Perimetry: Implications for the Locations of Visual Field Test Points. , 2014, Translational vision science & technology.