Analysis of visual field progression in glaucoma.

BACKGROUND: Despite the widespread use of computerised perimetry the diagnosis of visual field deterioration in following glaucoma patients over time remains particularly difficult. A new method of analysis using a novel graphical display of longitudinal field data is presented. METHODS: A linear regression model of the luminance sensitivity at each stimulus location against time of follow up transforms the quantitative data from a series of fields into a colour coded form which illustrates the spatial configuration of change to aid the interpretation of field loss. The method of analysis and the developed computer software (PROGRESSOR) is described. Comparison with STATPAC-2 glaucoma change probability analysis is given including levels of agreement between the techniques using series of fields of 10 eyes from patients with normal tension glaucoma. RESULTS: Examples of this new method compare well with STATPAC-2 analysis. The level of agreement between the techniques to separate progressing from stable retinal locations is good (kappa = 0.62; SE = 0.04). CONCLUSIONS: This new technique, which combines the change in perimetric sensitivity over time with colour coding of significant change into one image may provide an efficient method to detect true progression in glaucomatous field loss.

[1]  D P Crabb,et al.  Image processing of computerised visual field data. , 1995, The British journal of ophthalmology.

[2]  H P Wynn,et al.  New approach to estimating variability in visual field data using an image processing technique. , 1995, The British journal of ophthalmology.

[3]  D B Henson,et al.  Visual field analysis using artificial neural networks , 1994, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[4]  Fitzke Fw,et al.  The diagnosis of visual field progression in glaucoma. , 1994 .

[5]  F. Fitzke,et al.  The diagnosis of visual field progression in glaucoma , 1994, Current opinion in ophthalmology.

[6]  R. P. O'Shea,et al.  Interocular transfer of the movement aftereffect in central and peripheral vision of people with strabismus. , 1994, Investigative ophthalmology & visual science.

[7]  R. Hitchings,et al.  Psychophysical testing in glaucoma. , 1993, The British journal of ophthalmology.

[8]  J. Weber,et al.  Intraocular pressure and visual field decay in chronic glaucoma. , 1993, German journal of ophthalmology.

[9]  G E Trope,et al.  Pointwise topographical and longitudinal modeling of the visual field in glaucoma. , 1993, Investigative ophthalmology & visual science.

[10]  C. Johnson Modern developments in clinical perimetry. , 1993, Current opinion in ophthalmology.

[11]  F W Fitzke,et al.  Regression analysis of visual field progression in low tension glaucoma , 1993, The British journal of ophthalmology.

[12]  R. Crick,et al.  Effect of timolol versus pilocarpine on visual field progression in patients with primary open-angle glaucoma. , 1992, Ophthalmology.

[13]  A Heijl,et al.  Spatial analyses of glaucomatous visual fields; a comparison with traditional visual field indices , 1992, Acta ophthalmologica.

[14]  J. Caprioli,et al.  What constitutes progression of glaucomatous visual field defects , 1992 .

[15]  H. Dunbar Hoskins Does computerised perimetry offer practical advances in choice of therapy in the glaucoma patient? , 1992, Eye.

[16]  F. Mikelberg Do computerised visual fields and automated optic disc analysis assist in the choice of therapy in glaucoma? , 1992, Eye.

[17]  Richard K. Morgan,et al.  Statpac 2 glaucoma change probability. , 1991, Archives of ophthalmology.

[18]  D. C. Wu,et al.  Intraocular pressure and the rate of visual field loss in chronic open-angle glaucoma. , 1991, American journal of ophthalmology.

[19]  B. Schwartz,et al.  The visual field in chronic open angle glaucoma: The rate of change in different regions of the field , 1990, Eye.

[20]  C. Bulpitt,et al.  The progress of the visual field in chronic simple glaucoma and ocular hypertension treated topically with pilocarpine or with timolol , 1990, Eye.

[21]  Bernard Schwartz,et al.  Trend analyses of automated visual fields , 1987 .

[22]  S M Drance,et al.  The mode of progression of visual field defects in glaucoma. , 1984, American journal of ophthalmology.

[23]  C. Krakau,et al.  REGRESSION ANALYSIS OF THE CENTRAL VISUAL FIELD IN CHRONIC GLAUCOMA CASES , 1982, Acta ophthalmologica.

[24]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[25]  J. Fleiss,et al.  Statistical methods for rates and proportions , 1973 .