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Research Article Open access CC BY 4.0

Detection of Visual Field Loss Progression in Glaucoma: An Overview and Food for Thought

Carlo Aleci

Ophthalmology Research: An International Journal · pp. 16–24 · Published 2 Jul 2020

10.9734/or/2020/v13i130158

Abstract

The damage to the visual field is the main outcome of glaucoma. Basically, there are two different approaches to establish the rate of the functional loss in this clinical condition: event-based analysis and trend-based analysis. The event-based analysis, that relies on the occurrence of pre-established events to detect the progression of the visual field damage, cannot quantify the decay rate of sensitivity. In turn, the trend-based analysis, that aims to measure the rate of progression according to linear regression models, requires a long follow-up. Despite considerable effort, there is still no consensus on the optimal procedure, and a gold standard is still missing. This paper provides a quick overview of the topic as a tribute to the researchers engaged in this field.

Glaucoma visual field perimetry progression AGIS CTGS GSS point-wise regression.

References (53)

  1. 1 The Ocular Hypertension Treatment Study [DOI]
  2. 2 Comparison of glaucomatous progression between untreated patients with normal-tension glaucoma and patients with therapeutically reduced intraocular pressures [DOI]
  3. 3 Predictors of Long-term Progression in the Early Manifest Glaucoma Trial [DOI]
  4. 4 Interim clinical outcomes in the collaborative initial glaucoma treatment study comparing initial treatment randomized to medications or surgery [DOI]
  5. 5 Predictive factors for glaucomatous visual field progression in the Advanced Glaucoma Intervention Study [DOI]
  6. 6 Practical recommendations for measuring rates of visual field change in glaucoma [DOI]
  7. 7 Test-Retest Variability in Glaucomatous Visual Fields [DOI]
  8. 8 The collaborative initial glaucoma treatment study Study design, methods, and baseline characteristics of enrolled patients [DOI]
  9. 9 Natural History of Open-Angle Glaucoma [DOI]
  10. 10 A Visual Field Index for Calculation of Glaucoma Rate of Progression [DOI]
  11. 11 EARLY MANIFEST GLAUCOMA TRIAL GROUP. REDUCTION OF INTRAOCULAR PRESSURE AND GLAUCOMA PROGRESSION: RESULTS FROM THE EARLY MANIFEST GLAUCOMA TRIAL
  12. 12 Properties of perimetric threshold estimates from Full Threshold, SITA Standard, and SITA Fast strategies.
  13. 13 Longitudinal changes in the visual field and optic disc in glaucoma [DOI]
  14. 14 Enhanced Glaucoma Staging System (GSS 2) for Classifying Functional Damage in Glaucoma [DOI]
  15. 15 Detection and measurement of clinically meaningful visual field progression in clinical trials for glaucoma [DOI]
  16. 16 Optic Disc and Visual Field Progression in Ocular Hypertensive Subjects: Detection Rates, Specificity, and Agreement [DOI]
  17. 17 Risk of glaucoma in ocular hypertension with and without pseudoexfoliation [DOI]
  18. 18 Prediction of Glaucomatous Visual Field Loss by Extrapolation of Linear Trends [DOI]
  19. 19 The Relationship between Intraocular Pressure Reduction and Rates of Progressive Visual Field Loss in Eyes with Optic Disc Hemorrhage [DOI]
  20. 20 Risk Factors for Fast Visual Field Progression in Glaucoma [DOI]
  21. 21 The Onset and Evolution of Glaucomatous Visual Field Defects [DOI]
  22. 22 Test-retest variability of frequency-doubling perimetry and conventional perimetry in glaucoma patients and normal subjects.
  23. 23 Comparison of Different Methods for Detecting Glaucomatous Visual Field Progression [DOI]
  24. 24 The Relationship Between Progression of Visual Field Defects and Retrobulbar Circulation in Patients with Glaucoma [DOI]
  25. 25 Relationship between Visual Field Sensitivity and Retinal Nerve Fiber Layer Thickness as Measured by Scanning Laser Polarimetry [DOI]
  26. 26 Rate of visual field loss and long-term visual outcome in primary open-angle glaucoma [DOI]
  27. 27 Factors associated with long-term progression or stability in primary open-angle glaucoma [DOI]
  28. 28 Combining Structural and Functional Measurements to Improve Detection of Glaucoma Progression using Bayesian Hierarchical Models [DOI]
  29. 29 Modelling series of visual fields to detect progression in normal-tension glaucoma [DOI]
  30. 30 Simulation of longitudinal threshold visual field data.
  31. 31 Prediction of Visual Field Progression in Glaucoma [DOI]
  32. 32 Comparison of Visual Field Severity Classification Systems for Glaucoma [DOI]
  33. 33 Visual field changes after cataract extraction: The AGIS experience [DOI]
  34. 34 Effect of Cataract Extraction on the Results of Automated Perimetry in Glaucoma [DOI]
  35. 35 Predictors of Long-term Progression in the Early Manifest Glaucoma Trial [DOI]
  36. 36 The effects of cataract extraction on the visual field of eyes with chronic open-angle glaucoma [DOI]
  37. 37 More Accurate Modeling of Visual Field Progression in Glaucoma: ANSWERS [DOI]
  38. 38 Association of Macular Visual Field Measurements With Glaucoma Staging Systems [DOI]
  39. 39 The Rate of Progression of Scotomas in Glaucoma [DOI]
  40. 40 Methodological Variations in Estimating Apparent Progressive Visual Field Loss in Clinical Trials of Glaucoma Treatment [DOI]
  41. 41 Rate of Visual Field Loss in Progressive Glaucoma [DOI]
  42. 42 Comparison of visual field progression in patients with normal pressure glaucoma between eyes with and without visual field loss that threatens fixation [DOI]
  43. 43 Rate and pattern of visual field decline in primary open-angle glaucoma [DOI]
  44. 44 Pointwise Linear Regression Analysis for Detection of Visual Field Progression with Absolute versus Corrected Threshold Sensitivities [DOI]
  45. 45 A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data [DOI]
  46. 46 Evaluation of the Brusini Glaucoma Staging System for Typing and Staging of Perimetric Results [DOI]
  47. 47 A New Index to Monitor Central Visual Field Progression in Glaucoma [DOI]
  48. 48 Detecting glaucomatous progression with infrequent visual field testing [DOI]
  49. 49 Staging the Severity of Disease in Glaucoma [DOI]
  50. 50 The Relationship between Intraocular Pressure Reduction and Rates of Progressive Visual Field Loss in Eyes with Optic Disc Hemorrhage [DOI]
  51. 51 Advanced Glaucoma Intervention Study. 2. Visual field test scoring and reliability.
  52. 52 Corneal Biomechanics and Visual Field Progression in Eyes with Seemingly Well-Controlled Intraocular Pressure [DOI]
  53. 53 The relationship between progression of visual field defects and retrobulbar circulation in patients with glaucoma [DOI]

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