Objective assessment of visual acuity: a refined model for analyzing the sweep VEP

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00179906%3A_____%2F19%3A10398525" target="_blank" >RIV/00179906:_____/19:10398525 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=g2L._nJJMK" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=g2L._nJJMK</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10633-019-09672-z" target="_blank" >10.1007/s10633-019-09672-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Objective assessment of visual acuity: a refined model for analyzing the sweep VEP

Popis výsledku v původním jazyce

PurposeThe aim of this study was to develop a simple and reliable method for the objective assessment of visual acuity by optimizing the stimulus used in commercially available systems and by improving the methods of evaluation using a nonlinear function, the modified Ricker model.MethodsSubjective visual acuity in the normal subjects was measured with Snellen targets, best-corrected, and in some cases also uncorrected and with plus lenses (+1D, +2D, +3D). In patients, subjective visual acuity was measured best-corrected using the Freiburg Visual Acuity Test. Sweep VEP recordings to 11 spatial frequencies, with check sizes in logarithmically equidistant steps (0.6, 0.9, 1.4, 2.1, 3.3, 4.9, 7.3, 10.4, 18.2, 24.4, and 36.5cpd), were obtained from 56 healthy subjects aged between 17 and 69years (mean 42.515.3SD years) and 20 patients with diseases of the lens (n=6), retina (n=8) or optic nerve (n=6). The results were fit by a multiple linear regression (2nd-order polynomial) or a nonlinear regression (modified Ricker model) and parameters compared (limiting spatial frequency (sf(limiting)) and the spatial frequency of the vertex (sf(vertex)) of the parabola for the 2nd-order polynomial fitting, and the maximal spatial frequency (sf(max)), and the spatial frequency where the amplitude is 2dB higher than the level of noise (sf(threshold)) for the modified Ricker model.ResultsRecording with 11 spatial frequencies allows a more accurate determination of acuities above 1.0 logMAR. Tuning curves fitted to the results show that compared to the normal 2nd-order polynomial analysis, the modified Ricker model is able to describe closely the amplitudes of the sweep VEP in relation to the spatial frequencies of the presented checkerboards. In patients with a visual acuity better than about 0.5 (decimal), the predicted acuities based on the different parameters show a good match of the predicted visual acuities based on the models established in healthy volunteers to the subjective visual acuities. However, for lower visual acuities, both models tend to overestimate the visual acuity (up to similar to 0.4 logMAR), especially in patients suffering from AMD.Conclusions Both models, the 2nd-order polynomial and the modified Ricker model performed equally well in the prediction of the visual acuity based on the amplitudes recorded using the sweep VEP. However, the modified Ricker model does not require the exclusion of data points from the fit, as necessary when fitting the 2nd-order polynomial model making it more reliable and robust against outliers, and, in addition, provides a measure for the noise of the recorded results.

Název v anglickém jazyce

Objective assessment of visual acuity: a refined model for analyzing the sweep VEP

Popis výsledku anglicky

PurposeThe aim of this study was to develop a simple and reliable method for the objective assessment of visual acuity by optimizing the stimulus used in commercially available systems and by improving the methods of evaluation using a nonlinear function, the modified Ricker model.MethodsSubjective visual acuity in the normal subjects was measured with Snellen targets, best-corrected, and in some cases also uncorrected and with plus lenses (+1D, +2D, +3D). In patients, subjective visual acuity was measured best-corrected using the Freiburg Visual Acuity Test. Sweep VEP recordings to 11 spatial frequencies, with check sizes in logarithmically equidistant steps (0.6, 0.9, 1.4, 2.1, 3.3, 4.9, 7.3, 10.4, 18.2, 24.4, and 36.5cpd), were obtained from 56 healthy subjects aged between 17 and 69years (mean 42.515.3SD years) and 20 patients with diseases of the lens (n=6), retina (n=8) or optic nerve (n=6). The results were fit by a multiple linear regression (2nd-order polynomial) or a nonlinear regression (modified Ricker model) and parameters compared (limiting spatial frequency (sf(limiting)) and the spatial frequency of the vertex (sf(vertex)) of the parabola for the 2nd-order polynomial fitting, and the maximal spatial frequency (sf(max)), and the spatial frequency where the amplitude is 2dB higher than the level of noise (sf(threshold)) for the modified Ricker model.ResultsRecording with 11 spatial frequencies allows a more accurate determination of acuities above 1.0 logMAR. Tuning curves fitted to the results show that compared to the normal 2nd-order polynomial analysis, the modified Ricker model is able to describe closely the amplitudes of the sweep VEP in relation to the spatial frequencies of the presented checkerboards. In patients with a visual acuity better than about 0.5 (decimal), the predicted acuities based on the different parameters show a good match of the predicted visual acuities based on the models established in healthy volunteers to the subjective visual acuities. However, for lower visual acuities, both models tend to overestimate the visual acuity (up to similar to 0.4 logMAR), especially in patients suffering from AMD.Conclusions Both models, the 2nd-order polynomial and the modified Ricker model performed equally well in the prediction of the visual acuity based on the amplitudes recorded using the sweep VEP. However, the modified Ricker model does not require the exclusion of data points from the fit, as necessary when fitting the 2nd-order polynomial model making it more reliable and robust against outliers, and, in addition, provides a measure for the noise of the recorded results.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30207 - Ophthalmology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Documenta Ophthalmologica

ISSN

0012-4486

e-ISSN

—

Svazek periodika

138

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

20

Strana od-do

97-116

Kód UT WoS článku

000461369500003

EID výsledku v databázi Scopus

2-s2.0-85061050467