Literature DB >> 21467169

Properties of the statpac visual field index.

Paul H Artes1, Neil O'Leary, Donna M Hutchison, Lisa Heckler, Glen P Sharpe, Marcelo T Nicolela, Balwantray C Chauhan.   

Abstract

Purpose. To compare the properties of the visual field index (VFI) to those of mean deviation (MD) in patients with glaucoma. Methods. MD and VFI were calculated in data obtained from an ongoing longitudinal study in which patients with glaucoma (N = 109, 204 eyes) were observed for 9.8 years (median, 21 tests) with static automated perimetry. MD and VFI were compared in one test of each eye, and a subset of 30 tests were selected to compare the VFI with the judgments of eight experts who judged the percentage of the remaining visual field. In series of tests obtained over time, rates of change, statistical significance, evidence of nonlinearity, and variability were compared between both indices. Results. In single tests, MD and VFI were closely related (r = 0.88, P < 0.001). The relationship between both indices appeared linear, except in visual fields with MDs better than -5.0 dB where 29 (22%) of 129 eyes exhibited a ceiling effect (VFI = 100%). Based on this relationship, the predicted VFIs for visual fields with MDs of -5, -10, and -15 dB were 91%, 76%, and 60%, respectively. The percentage of remaining visual field suggested by the VFI exceeded the range of the experts' subjective judgments in 16 (53%) of 30 eyes. In series of tests obtained over time, rates of change with the two indices were closely related (r = 0.79, P < 0.001), and statistically significant reductions over time (P < 0.05) occurred in a similar number of eyes (92 [45%] with MD, and 87 [43%] with VFI). Of the 105 eyes with statistically significant (P < 0.05) negative trend in either MD or VFI, 74 (70%) showed such trends with both indices (κ = 0.69). The variability of MD and VFI increased with damage, and there was no evidence that change over time was more linear with VFI than with MD. Conclusions. The VFI provides a simple and understandable metric of visual field damage, but its estimates of remaining visual field were more optimistic than those of the experts. Rates of change over time with both indices were closely related, but the reliance of the VFI on pattern deviation probability maps caused a ceiling effect that may have reduced its sensitivity to change in eyes with early damage. In this group of patients there was no evidence to suggest that the VFI is either superior or inferior to the MD as a summary measure of visual field damage.

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Year:  2011        PMID: 21467169     DOI: 10.1167/iovs.10-6905

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  41 in total

1.  The rate of visual field change in the ocular hypertension treatment study.

Authors:  Shaban Demirel; Carlos Gustavo V De Moraes; Stuart K Gardiner; Jeffrey M Liebmann; George A Cioffi; Robert Ritch; Mae O Gordon; Michael A Kass
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-01-25       Impact factor: 4.799

Review 2.  Detection of visual field progression in glaucoma with standard achromatic perimetry: a review and practical implications.

Authors:  Kouros Nouri-Mahdavi; Nariman Nassiri; Annette Giangiacomo; Joseph Caprioli
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-08-26       Impact factor: 3.117

3.  Why Do People (Still) Go Blind from Glaucoma?

Authors:  Remo Susanna; Carlos Gustavo De Moraes; George A Cioffi; Robert Ritch
Journal:  Transl Vis Sci Technol       Date:  2015-03-09       Impact factor: 3.283

4.  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

5.  Assessment of linear-scale indices for perimetry in terms of progression in early glaucoma.

Authors:  Stuart K Gardiner; Shaban Demirel; Chris A Johnson; William H Swanson
Journal:  Vision Res       Date:  2011-06-16       Impact factor: 1.886

Review 6.  Functional assessment of glaucoma: Uncovering progression.

Authors:  Rongrong Hu; Lyne Racette; Kelly S Chen; Chris A Johnson
Journal:  Surv Ophthalmol       Date:  2020-04-26       Impact factor: 6.048

7.  Detecting Change Using Standard Global Perimetric Indices in Glaucoma.

Authors:  Stuart K Gardiner; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2017-01-25       Impact factor: 5.258

8.  Cup size predicts subsequent functional change in early glaucoma.

Authors:  Stuart K Gardiner; Chris A Johnson; Shaban Demirel
Journal:  Optom Vis Sci       Date:  2011-12       Impact factor: 1.973

9.  Five-year forecasts of the Visual Field Index (VFI) with binocular and monocular visual fields.

Authors:  Ryo Asaoka; Richard A Russell; Rizwan Malik; David F Garway-Heath; David P Crabb
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2012-12-07       Impact factor: 3.117

10.  Estimating the rate of retinal ganglion cell loss in glaucoma.

Authors:  Felipe A Medeiros; Linda M Zangwill; Douglas R Anderson; Jeffrey M Liebmann; Christopher A Girkin; Ronald S Harwerth; Marie-Josée Fredette; Robert N Weinreb
Journal:  Am J Ophthalmol       Date:  2012-07-27       Impact factor: 5.258

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