Literature DB >> 21051713

The influence of sampling errors on test-retest variability in perimetry.

Ted Maddess1.   

Abstract

PURPOSE: To determine whether visual fields measured by standard automated perimetry (SAP) can be distorted by higher-spatial-frequency image components and, in particular, whether test-retest variability of SAP fields can be explained by the combination of small scale fixational drift, small stimulus size, and coarse spatial sampling of the visual fields.
METHODS: Standard SAP test patterns have points 6° apart. The amplitude spectra of the perimeter's 10-2 fields (model 511 Humphrey Field Analyser [HFA]; Carl Zeiss Meditec, Inc., North Ryde, NSW, Australia) were assessed to see whether their finer grained sampling revealed spatial frequencies that could cause distortions of standard fields because of undersampling. Model visual fields were then constructed whose spectra were similar to the 10-2 fields, and test-retest variability was examined for Goldmann sizes III to VI stimuli and Gaussian fixational drift with standard deviations of 0.075° to 0.3°.
RESULTS: The 10-2 fields showed significant spatial frequency content up to 0.25 cyc/deg, three times the highest frequency that a 30-2 or 24-2 sample grid can resolve. As reported for SAP, test-retest variability increased with scotoma depth, and increasing the stimulus size from III to VI caused a reduction in test-retest variability, as did reduced fixation jitter.
CONCLUSIONS: With fixation drift half the size of that exhibited by good fixators, many of the features of SAP test-retest variability were reproduced. Reducing test-retest variability may therefore involve using large test stimuli that are blurry in appearance and that overlap somewhat when placed on the perimetric test grid. Overlap across the meridians should perhaps be avoided.

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Mesh:

Year:  2011        PMID: 21051713     DOI: 10.1167/iovs.10-6014

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


  8 in total

Review 1.  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

2.  Performance of the 10-2 and 24-2 Visual Field Tests for Detecting Central Visual Field Abnormalities in Glaucoma.

Authors:  Zhichao Wu; Felipe A Medeiros; Robert N Weinreb; Linda M Zangwill
Journal:  Am J Ophthalmol       Date:  2018-08-10       Impact factor: 5.258

3.  Modeling the relative influence of fixation and sampling errors on retest variability in perimetry.

Authors:  T Maddess
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-07-30       Impact factor: 3.117

4.  Exploring Test-Retest Variability Using High-Resolution Perimetry.

Authors:  Takuya Numata; Ted Maddess; Chota Matsumoto; Sachiko Okuyama; Shigeki Hashimoto; Hiroki Nomoto; Yoshikazu Shimomura
Journal:  Transl Vis Sci Technol       Date:  2017-10-04       Impact factor: 3.283

5.  Correlation of Central Versus Peripheral Macular Structure-Function With Acuity in Age-Related Macular Degeneration.

Authors:  Faran Sabeti; Jo Lane; Emilie M F Rohan; Bhim B Rai; Rohan W Essex; Elinor McKone; Ted Maddess
Journal:  Transl Vis Sci Technol       Date:  2021-02-05       Impact factor: 3.283

6.  Effects of Criterion Bias on Perimetric Sensitivity and Response Variability in Glaucoma.

Authors:  Nikki J Rubinstein; Andrew Turpin; Jonathan Denniss; Allison M McKendrick
Journal:  Transl Vis Sci Technol       Date:  2021-01-08       Impact factor: 3.283

7.  Assessing the GOANNA Visual Field Algorithm Using Artificial Scotoma Generation on Human Observers.

Authors:  Luke X Chong; Andrew Turpin; Allison M McKendrick
Journal:  Transl Vis Sci Technol       Date:  2016-09-01       Impact factor: 3.283

8.  Improvements in Test-Retest Variability of Static Automated Perimetry by Censoring Results With Low Sensitivity in Retinitis Pigmentosa.

Authors:  Ava K Bittner; Anushka Mistry; Leon Nehmad; Rakin Khan; Gislin Dagnelie
Journal:  Transl Vis Sci Technol       Date:  2020-11-20       Impact factor: 3.283

  8 in total

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