Literature DB >> 11328758

Variability components of standard automated perimetry and frequency-doubling technology perimetry.

P G Spry1, C A Johnson, A M McKendrick, A Turpin.   

Abstract

PURPOSE: To evaluate and compare intra- and intertest variability components for both standard automated perimetry (SAP) and frequency-doubling technology (FDT) perimetry in a small group of normal individuals and patients with glaucoma.
METHODS: The method of constant stimuli (MOCS) was used to examine matched test locations with both SAP and FDT perimetry stimuli in a group of eight normal individuals and seven patients with glaucoma. Subjects were tested weekly at three predetermined visual field loci for 5 consecutive weeks. Frequency-of-seeing (FOS) curves were generated and used to quantify threshold sensitivity (50% seen on FOS, in decibels), intratest variability (FOS interquartile range, in decibels), and intertest variability (interquartile range of weekly repeated threshold determinations, in decibels).
RESULTS: In patients with glaucoma, SAP intra- and intertest variabilities were found to increase with sensitivity reductions, as previously reported. FDT perimetry revealed that both intra- and intertest variability components did not appreciably change with reductions in sensitivity. With the measurement scales used in this investigation, both intra- and intertest variability components were significantly greater for SAP than for FDT perimetry (P < 0.001 and P = 0.003, respectively). Intratest variability exceeded intertest variability for both SAP (P = 0.001) and FDT perimetry (P < 0.001).
CONCLUSIONS: For both SAP and FDT perimetry, variability occurring within a single test session contributed more to total variability than between-session variability. When the measurement scales available on commercial instrumentation were used, FDT perimetry exhibited significantly less variability than SAP, especially within regions of visual field sensitivity loss. FDT perimetry therefore shows promise as an effective test for detecting progressive glaucomatous visual field loss, although prospective longitudinal validation is still required to determine sensitivity to change.

Entities:  

Mesh:

Year:  2001        PMID: 11328758

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


  42 in total

1.  Frequency of testing for detecting visual field progression.

Authors:  S K Gardiner; D P Crabb
Journal:  Br J Ophthalmol       Date:  2002-05       Impact factor: 4.638

2.  Measurement error of visual field tests in glaucoma.

Authors:  P G D Spry; C A Johnson; A M McKendrick; A Turpin
Journal:  Br J Ophthalmol       Date:  2003-01       Impact factor: 4.638

3.  Characteristics of the normative database for the Humphrey matrix perimeter.

Authors:  Andrew John Anderson; Chris A Johnson; Murray Fingeret; John L Keltner; Paul G D Spry; Michael Wall; John S Werner
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-04       Impact factor: 4.799

4.  Linearity can account for the similarity among conventional, frequency-doubling, and gabor-based perimetric tests in the glaucomatous macula.

Authors:  Hao Sun; Mitchell W Dul; William H Swanson
Journal:  Optom Vis Sci       Date:  2006-07       Impact factor: 1.973

5.  A cortical pooling model of spatial summation for perimetric stimuli.

Authors:  Fei Pan; William H Swanson
Journal:  J Vis       Date:  2006-10-13       Impact factor: 2.240

6.  Variability of visual field measurements is correlated with the gradient of visual sensitivity.

Authors:  Harry J Wyatt; Mitchell W Dul; William H Swanson
Journal:  Vision Res       Date:  2007-02-23       Impact factor: 1.886

Review 7.  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

8.  Automated perimetry: using gaze-direction data to improve the estimate of scotoma edges.

Authors:  Harry J Wyatt
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-07-29       Impact factor: 4.799

9.  Assessment of patient opinions of different clinical tests used in the management of glaucoma.

Authors:  Stuart K Gardiner; Shaban Demirel
Journal:  Ophthalmology       Date:  2008-12       Impact factor: 12.079

10.  Seasonal changes in visual field sensitivity and intraocular pressure in the ocular hypertension treatment study.

Authors:  Stuart K Gardiner; Shaban Demirel; Mae O Gordon; Michael A Kass
Journal:  Ophthalmology       Date:  2013-01-26       Impact factor: 12.079

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