Comparison of Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field.

PURPOSE To compare longitudinal glaucoma progression detection using optical coherence tomography (OCT) and visual field (VF). DESIGN Validity assessment. METHODS We analyzed subjects with more than 4 semi-annual follow-up visits (every 6 months) in the multicenter Advanced Imaging for Glaucoma Study. Fourier-domain optical coherence tomography (OCT) was used to map the thickness of the peripapillary retinal nerve fiber layer (NFL) and ganglion cell complex (GCC). OCT-based progression detection was defined as a significant negative trend for either NFL or GCC. VF progression was reached if either the event or trend analysis reached significance. RESULTS The analysis included 356 glaucoma suspect/preperimetric glaucoma (GS/PPG) eyes and 153 perimetric glaucoma (PG) eyes. Follow-up length was 54.1 ± 16.2 months for GS/PPG eyes and 56.7 ± 16.0 for PG eyes. Progression was detected in 62.1% of PG eyes and 59.8% of GS/PPG eyes by OCT, significantly (P < .001) more than the detection rate of 41.8% and 27.3% by VF. In severity-stratified analysis of PG eyes, OCT had significantly higher detection rate than VF in mild PG (63.1% vs. 38.7%, P < .001), but not in moderate and advanced PG. The rate of NFL thinning slowed dramatically in advanced PG, but GCC thinning rate remained relatively steady and allowed good progression detection even in advanced disease. The Kaplan-Meier time-to-event analyses showed that OCT detected progression earlier than VF in both PG and GS/PPG groups. CONCLUSIONS OCT is more sensitive than VF for the detection of progression in early glaucoma. While the utility of NFL declines in advanced glaucoma, GCC remains a sensitive progression detector from early to advanced stages.

[1]  F. Medeiros,et al.  Determinants of agreement between the confocal scanning laser tomograph and standardized assessment of glaucomatous progression. , 2010, Ophthalmology.

[2]  F. Fitzke,et al.  Visual field progression: Comparison of Humphrey Statpac and pointwise linear regression analysis , 1996, Graefe's Archive for Clinical and Experimental Ophthalmology.

[3]  Robert N Weinreb,et al.  Estimating Lead Time Gained by Optical Coherence Tomography in Detecting Glaucoma before Development of Visual Field Defects. , 2015, Ophthalmology.

[4]  Robert N Weinreb,et al.  Rates of retinal nerve fiber layer thinning in glaucoma suspect eyes. , 2013, Ophthalmology.

[5]  Youngrok Lee,et al.  Progression detection capability of macular thickness in advanced glaucomatous eyes. , 2012, Ophthalmology.

[6]  G. Wollstein,et al.  Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. , 2009, Ophthalmology.

[7]  L. Zangwill,et al.  Discriminating between normal and glaucomatous eyes using the Heidelberg Retina Tomograph, GDx Nerve Fiber Analyzer, and Optical Coherence Tomograph. , 2001, Archives of ophthalmology.

[8]  J. Fujimoto,et al.  Optical coherence tomography: A new tool for glaucoma diagnosis , 1995, Current opinion in ophthalmology.

[9]  W. Feuer,et al.  Reproducibility of peripapillary retinal nerve fiber layer thickness and optic nerve head parameters measured with cirrus HD-OCT in glaucomatous eyes. , 2010, Investigative ophthalmology & visual science.

[10]  A Heijl,et al.  Practical recommendations for measuring rates of visual field change in glaucoma , 2008, British Journal of Ophthalmology.

[11]  Susan Vitale,et al.  Agreement among glaucoma specialists in assessing progressive disc changes from photographs in open-angle glaucoma patients. , 2009, American journal of ophthalmology.

[12]  G. Ripandelli,et al.  Optical coherence tomography. , 1998, Seminars in ophthalmology.

[13]  Brian A. Francis,et al.  Longitudinal and Cross-Sectional Analyses of Age Effects on Retinal Nerve Fiber Layer and Ganglion Cell Complex Thickness by Fourier-Domain OCT , 2016, Translational vision science & technology.

[14]  David Huang,et al.  Effect of Signal Intensity on Measurement of Ganglion Cell Complex and Retinal Nerve Fiber Layer Scans in Fourier-Domain Optical Coherence Tomography. , 2015, Translational vision science & technology.

[15]  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.

[16]  J. Schuman,et al.  Predicting Development of Glaucomatous Visual Field Conversion Using Baseline Fourier-Domain Optical Coherence Tomography. , 2016, American journal of ophthalmology.

[17]  F. Medeiros,et al.  Structural Change Can Be Detected in Advanced-Glaucoma Eyes , 2016, Investigative ophthalmology & visual science.

[18]  Jean-Claude Mwanza,et al.  Residual and Dynamic Range of Retinal Nerve Fiber Layer Thickness in Glaucoma: Comparison of Three OCT Platforms. , 2015, Investigative ophthalmology & visual science.

[19]  J. Schuman,et al.  Combining measurements from three anatomical areas for glaucoma diagnosis using Fourier-domain optical coherence tomography , 2015, British Journal of Ophthalmology.

[20]  A. Sommer,et al.  Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss. , 1991, Archives of ophthalmology.

[21]  J. Moreno-Montañés,et al.  Evaluation of Retinal nerve fiber layer thickness , mean deviation and visual field index in progressive glaucoma , 2015 .

[22]  Robert Ritch,et al.  A comparison of retinal nerve fiber layer (RNFL) thickness obtained with frequency and time domain optical coherence tomography (OCT). , 2009, Optics express.

[23]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[24]  R. Weinreb,et al.  Risk of Visual Field Progression in Glaucoma Patients with Progressive Retinal Nerve Fiber Layer Thinning: A 5-Year Prospective Study. , 2016, Ophthalmology.

[25]  Alfonso Antón,et al.  Glaucoma Progression Detection: Agreement, Sensitivity, and Specificity of Expert Visual Field Evaluation, Event Analysis, and Trend Analysis , 2013, European journal of ophthalmology.

[26]  G. Wollstein,et al.  Optical coherence tomography longitudinal evaluation of retinal nerve fiber layer thickness in glaucoma. , 2005, Archives of ophthalmology.

[27]  Paul H Artes,et al.  Visual field progression in glaucoma: estimating the overall significance of deterioration with permutation analyses of pointwise linear regression (PoPLR). , 2012, Investigative ophthalmology & visual science.

[28]  M. Nicolela,et al.  Visual field progression in glaucoma: what is the specificity of the Guided Progression Analysis? , 2014, Ophthalmology.

[29]  B. Bengtsson,et al.  Structural and Functional Progression in the Early Manifest Glaucoma Trial. , 2016, Ophthalmology.

[30]  B. Bengtsson,et al.  A visual field index for calculation of glaucoma rate of progression. , 2008, American journal of ophthalmology.

[31]  Paul H Artes,et al.  Visual field progression in glaucoma: total versus pattern deviation analyses. , 2005, Investigative ophthalmology & visual science.

[32]  A Heijl,et al.  Early Manifest Glaucoma Trial: design and baseline data. , 1999, Ophthalmology.

[33]  F. Medeiros,et al.  Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. , 2005, American journal of ophthalmology.

[34]  Milan Sonka,et al.  Reproducibility of SD-OCT-based ganglion cell-layer thickness in glaucoma using two different segmentation algorithms. , 2013, Investigative ophthalmology & visual science.

[35]  J. Schuman,et al.  Advanced imaging for glaucoma study: design, baseline characteristics, and inter-site comparison. , 2015, American journal of ophthalmology.

[36]  H. Quigley.  Number of people with glaucoma worldwide. , 1996, The British journal of ophthalmology.

[37]  Chris A. Johnson,et al.  The repeatability of mean defect with size III and size V standard automated perimetry. , 2013, Investigative ophthalmology & visual science.

[38]  C. Chiquet,et al.  Progression of visual field in patients with primary open‐angle glaucoma – ProgF study 1 , 2015, Acta ophthalmologica.

[39]  Visual field progression with frequency-doubling matrix perimetry and standard automated perimetry in patients with glaucoma and in healthy controls. , 2013, JAMA ophthalmology.

[40]  Donald C. Hood,et al.  A framework for comparing structural and functional measures of glaucomatous damage , 2007, Progress in Retinal and Eye Research.

[41]  H. Quigley,et al.  The number of people with glaucoma worldwide in 2010 and 2020 , 2006, British Journal of Ophthalmology.

[42]  A. Kao,et al.  Diagnostic Power of Optic Disc Morphology, Peripapillary Retinal Nerve Fiber Layer Thickness, and Macular Inner Retinal Layer Thickness in Glaucoma Diagnosis With Fourier-domain Optical Coherence Tomography , 2011, Journal of glaucoma.

[43]  David Huang,et al.  Mapping of macular substructures with optical coherence tomography for glaucoma diagnosis. , 2006, Ophthalmology.

[44]  J. D. Cascajosa,et al.  Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence Tomography , 2010 .

[45]  Jean-Claude Mwanza,et al.  Retinal nerve fibre layer thickness floor and corresponding functional loss in glaucoma , 2014, British Journal of Ophthalmology.

[46]  Douglas R. Anderson,et al.  Clinical Decisions In Glaucoma , 1993 .

[47]  Richard A. Russell,et al.  Measurement precision in a series of visual fields acquired by the standard and fast versions of the Swedish interactive thresholding algorithm: analysis of large-scale data from clinics. , 2015, JAMA ophthalmology.

[48]  D. Greenfield,et al.  Evaluation of baseline structural factors for predicting glaucomatous visual-field progression using optical coherence tomography, scanning laser polarimetry and confocal scanning laser ophthalmoscopy , 2012, Eye.

[49]  William J Feuer,et al.  Sensitivity and specificity of time-domain versus spectral-domain optical coherence tomography in diagnosing early to moderate glaucoma. , 2009, Ophthalmology.

[50]  M. Nicolela,et al.  Properties of the statpac visual field index. , 2011, Investigative ophthalmology & visual science.

[51]  L. Zangwill,et al.  Detecting early glaucoma by assessment of retinal nerve fiber layer thickness and visual function. , 2001, Investigative ophthalmology & visual science.

[52]  Douglas R. Anderson,et al.  Ability of cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes. , 2011, Ophthalmology.

[53]  Gadi Wollstein,et al.  OCT for glaucoma diagnosis, screening and detection of glaucoma progression , 2013, British Journal of Ophthalmology.

[54]  H. Rao,et al.  Comparing Glaucoma Progression on 24-2 and 10-2 Visual Field Examinations , 2015, PloS one.

[55]  Alberto Diniz-Filho,et al.  The Relative Odds of Progressing by Structural and Functional Tests in Glaucoma , 2016, Investigative ophthalmology & visual science.

[56]  F. Medeiros,et al.  Integrating event- and trend-based analyses to improve detection of glaucomatous visual field progression. , 2012, Ophthalmology.

[57]  Alberto Diniz-Filho,et al.  Frequency of Testing to Detect Visual Field Progression Derived Using a Longitudinal Cohort of Glaucoma Patients. , 2017, Ophthalmology.

[58]  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.