Literature DB >> 9097752

Determining progressive visual field loss in serial Humphrey visual fields.

M K Birch1, P K Wishart, N P O'Donnell.   

Abstract

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.

Entities:  

Mesh:

Year:  1995        PMID: 9097752     DOI: 10.1016/s0161-6420(95)30885-8

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  12 in total

1.  Normal visual field test results following glaucomatous visual field end points in the Ocular Hypertension Treatment Study.

Authors:  John L Keltner; Chris A Johnson; Richard A Levine; Juanjuan Fan; Kimberly E Cello; Michael A Kass; Mae O Gordon
Journal:  Arch Ophthalmol       Date:  2005-09

2.  Integrating event- and trend-based analyses to improve detection of glaucomatous visual field progression.

Authors:  Felipe A Medeiros; Robert N Weinreb; Grant Moore; Jeffrey M Liebmann; Christopher A Girkin; Linda M Zangwill
Journal:  Ophthalmology       Date:  2012-01-21       Impact factor: 12.079

3.  Agreement and Predictors of Discordance of 6 Visual Field Progression Algorithms.

Authors:  Osamah J Saeedi; Tobias Elze; Loris D'Acunto; Ramya Swamy; Vikram Hegde; Surabhi Gupta; Amin Venjara; Joby Tsai; Jonathan S Myers; Sarah R Wellik; Carlos Gustavo De Moraes; Louis R Pasquale; Lucy Q Shen; Michael V Boland
Journal:  Ophthalmology       Date:  2019-02-04       Impact factor: 12.079

4.  Refinement of pointwise linear regression criteria for determining glaucoma progression.

Authors:  Colleen M Kummet; K D Zamba; Carrie K Doyle; Chris A Johnson; Michael Wall
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-09-19       Impact factor: 4.799

5.  Performance of glaucoma progression analysis software in a glaucoma population.

Authors:  Francisco Arnalich-Montiel; Pilar Casas-Llera; Francisco J Muñoz-Negrete; Gema Rebolleda
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2008-11-04       Impact factor: 3.117

6.  Progression of visual field loss in untreated glaucoma patients and suspects in St Lucia, West Indies.

Authors:  M Roy Wilson
Journal:  Trans Am Ophthalmol Soc       Date:  2002

7.  Randomised controlled trial comparing the effect of brimonidine and timolol on visual field loss after acute primary angle closure.

Authors:  T Aung; F T S Oen; H-T Wong; Y-H Chan; B-K Khoo; Y-P Liu; C-L Ho; J See; L H Thean; A C Viswanathan; S K L Seah; P T K Chew
Journal:  Br J Ophthalmol       Date:  2004-01       Impact factor: 4.638

8.  A novel Bayesian adaptive method for mapping the visual field.

Authors:  Pengjing Xu; Luis Andres Lesmes; Deyue Yu; Zhong-Lin Lu
Journal:  J Vis       Date:  2019-12-02       Impact factor: 2.240

9.  Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields.

Authors:  Pamela A Sample; Catherine Boden; Zuohua Zhang; John Pascual; Te-Won Lee; Linda M Zangwill; Robert N Weinreb; Jonathan G Crowston; Esther M Hoffmann; Felipe A Medeiros; Terrence Sejnowski; Michael Goldbaum
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-10       Impact factor: 4.799

10.  Detecting changes in retinal function: Analysis with Non-Stationary Weibull Error Regression and Spatial enhancement (ANSWERS).

Authors:  Haogang Zhu; Richard A Russell; Luke J Saunders; Stefano Ceccon; David F Garway-Heath; David P Crabb
Journal:  PLoS One       Date:  2014-01-17       Impact factor: 3.240

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