Literature DB >> 31024754

Application of Correlation-Based Scoring Scheme for Visual Acuity Measurements in the Clinical Practice.

Csilla Fülep1, Illés Kovács2, Kinga Kránitz2, Zoltán Zsolt Nagy2, Gábor Erdei1.   

Abstract

PURPOSE: Visual acuity tests are generally performed by showing eye charts to the subjects and registering their correct/incorrect identifications for the presented optotypes. We recently developed a correlation-based scoring method that significantly reduces the statistical error associated with relative letter legibility. In this paper, our purpose was to demonstrate the advantages and clinical utility of our scoring scheme compared to standard methods.
METHODS: We developed a new computer-controlled measurement setup aligned with the ophthalmological standard. With this system, we presented the application of our correlation-based scoring in conventional clinical environment for 25 subjects and estimated the systematic error of the obtained acuity values. A separate experiment was performed by 14 additional subjects to reveal the test-retest variability of the new scoring method.
RESULTS: The average systematic error relative to standard probability-based scoring is 0.01 logMAR over the examined subject group. Application of the correlation-based scheme when used in clinical environment with five letters per size decreases the repeatability error by ∼20% and increases diagnosis time by ∼10%.
CONCLUSIONS: The new scoring scheme is directly applicable in clinical practice providing unbiased results with improved repeatability compared to standard visual acuity measurements. It reduces test-retest variability by the same amount as if the number of letters was doubled in traditional tests. TRANSLATIONAL RELEVANCE: Our new method is a promising alternative to conventional acuity tests in cases when high-precision measurements are required, for example evaluating implanted intraocular lenses, testing subjects with retinal diseases or cataract, and refractive surgery candidates.

Entities:  

Keywords:  eye chart; optotype correlation; psychometric function; scoring method; visual acuity

Year:  2019        PMID: 31024754      PMCID: PMC6472432          DOI: 10.1167/tvst.8.2.19

Source DB:  PubMed          Journal:  Transl Vis Sci Technol        ISSN: 2164-2591            Impact factor:   3.283


  33 in total

1.  The slope of the psychometric function for Bailey-Lovie letter charts: defocus effects and implications for modeling letter-by-letter scores.

Authors:  A Carkeet; L Lee; J R Kerr; M M Keung
Journal:  Optom Vis Sci       Date:  2001-02       Impact factor: 1.973

2.  Letter legibility and chart equivalence.

Authors:  C W McMonnies; A Ho
Journal:  Ophthalmic Physiol Opt       Date:  2000-03       Impact factor: 3.117

3.  Variability of measurements of visual acuity in a large eye clinic.

Authors:  J Siderov; A L Tiu
Journal:  Acta Ophthalmol Scand       Date:  1999-12

4.  The psychometric function: I. Fitting, sampling, and goodness of fit.

Authors:  F A Wichmann; N J Hill
Journal:  Percept Psychophys       Date:  2001-11

5.  Modeling logMAR visual acuity scores: effects of termination rules and alternative forced-choice options.

Authors:  A Carkeet
Journal:  Optom Vis Sci       Date:  2001-07       Impact factor: 1.973

6.  The dependency of logMAR visual acuity measurements on chart design and scoring rule.

Authors:  Charlotte A Hazel; David B Elliott
Journal:  Optom Vis Sci       Date:  2002-12       Impact factor: 1.973

7.  Improving on ETDRS acuities: design and results for a computerised thresholding device.

Authors:  D A Rosser; I E Murdoch; F W Fitzke; D A H Laidlaw
Journal:  Eye (Lond)       Date:  2003-08       Impact factor: 3.775

8.  Using geometric moments to explain human letter recognition near the acuity limit.

Authors:  Lei Liu; Stanley A Klein; Feng Xue; Jun-Yun Zhang; Cong Yu
Journal:  J Vis       Date:  2009-01-21       Impact factor: 2.240

9.  A computerized method of visual acuity testing: adaptation of the early treatment of diabetic retinopathy study testing protocol.

Authors:  Roy W Beck; Pamela S Moke; Andrew H Turpin; Frederick L Ferris; John Paul SanGiovanni; Chris A Johnson; Eileen E Birch; Danielle L Chandler; Terry A Cox; R Clifford Blair; Raymond T Kraker
Journal:  Am J Ophthalmol       Date:  2003-02       Impact factor: 5.258

Review 10.  Crowding--an essential bottleneck for object recognition: a mini-review.

Authors:  Dennis M Levi
Journal:  Vision Res       Date:  2008-01-28       Impact factor: 1.886

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