Determining progressive visual field loss in serial Humphrey visual fields.

PURPOSE To evaluate the three commercially available computerized statistical algorithms for determining progression of glaucomatous field loss in serial Humphrey fields. METHODS Serial Humphrey fields of 102 ocular hypertensive and glaucomatous eyes were analyzed by linear regression analysis of Statpac, glaucoma change probability and Progressor Programme, and the results compared with a retrospectively determined clinical outcome. RESULTS Linear regression analysis of Statpac identified progression in 11 field series, glaucoma change probability identified progression in 23 field series, and Progressor Programme identified progression in 27 field series. Clinical outcome identified much less-progression than any of the three algorithms, determining that only seven eyes showed deterioration. There was a wide variation of results from analysis of the same group of field series by the three different algorithms. In contrast to the other two algorithms, which detected progression in similar percentages of both ocular hypertension and glaucoma field series. Progressor Programme detected progression predominantly in glaucoma field series. CONCLUSIONS There was a high degree of variability among the three different algorithms for determining visual field progression, and none of them correlated well with clinical impression.

[1]  R. Leblanc,et al.  Technique for determining glaucomatous visual field progression by using animation graphics. , 1994, American journal of ophthalmology-glaucoma.

[2]  C. Richter Automatic Perimetry in Glaucoma , 1986 .

[3]  J. Piltz,et al.  Test-retest variability in glaucomatous visual fields. , 1990, American journal of ophthalmology.

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

[5]  P. Lichter Visual field validity and the search for glaucoma's Holy Grail. , 1994, Ophthalmology.

[6]  Georg Lindgren,et al.  A package for the statistical analysis of visual fields , 1987 .

[7]  R. P. Mills,et al.  A comparison of experienced clinical observers and statistical tests in detection of progressive visual field loss in glaucoma using automated perimetry. , 1988, Archives of ophthalmology.

[8]  Computerized Visual Fields: What They Are and How to Use Them , 1985 .

[9]  J Katz,et al.  Comparison of analytic algorithms for detecting glaucomatous visual field loss. , 1991, Archives of ophthalmology.

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

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

[12]  R A Hitchings,et al.  Regression analysis of visual field progression in low tension glaucoma , 1993 .

[13]  A Heijl,et al.  Test-retest variability in glaucomatous visual fields. , 1989, American journal of ophthalmology.

[14]  M Schulzer,et al.  Errors in the diagnosis of visual field progression in normal-tension glaucoma. , 1994, Ophthalmology.

[15]  S M Drance,et al.  The use of visual field indices in detecting changes in the visual field in glaucoma. , 1990, Investigative ophthalmology & visual science.

[16]  A. Heijl,et al.  COMPUTERIZED VISUAL FIELD SCREENING IN THE MANAGEMENT OF PATIENTS WITH OCULAR HYPERTENSION , 1980, Acta ophthalmologica.

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

[18]  R. Starita,et al.  Total variance of serial Octopus visual fields in glaucomatous eyes , 1987 .