Evaluation of contrast sensitivity measurements after retrobulbar optic neuritis in Multiple Sclerosis

Owidzka, Marta; Wilczyński, Michał; Omulecki, Wojciech

doi:10.1007/s00417-014-2590-x

Cited by 11 publications

(9 citation statements)

References 25 publications

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“…Measures of low-contrast vision and CSV were sensitive to visual impairment, even in patients with VA of 20/20 or better (measured with a Snellen chart), and have been correlated with poorer performances in everyday tasks [8, 17–20]. Our patients presented reduced CSV in low and midspatial frequencies and low-contrast VA compared with healthy controls, which is consistent to previous research involving classic visual function tests [11, 21, 22] and tests performed with other video processors [23, 24]. However, high spatial frequencies were not significantly affected in our patients, contrary to previous findings [11, 24].…”

Section: Discussionsupporting

confidence: 89%

Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor

Satué

Jarauta

Obís

et al. 2019

Journal of Ophthalmology

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Objectives. To assess the capability of the vision monitor unit Monpack One of detecting visual function alterations in patients with multiple sclerosis (MS) and to evaluate the correlation between structural retinal parameters and functional measurements obtained with this device. Methods. Forty-eight patients with MS and 46 healthy controls were included in a cross-sectional study. All participants underwent a complete functional evaluation of the visual pathway, which included low-contrast visual acuity (LCVA), contrast sensitivity vision (CSV), automated perimetry, multifocal visual evoked potentials (mfVEPs), and pattern electroretinogram (ERG). All tests were performed using the vision monitor unit Monpack One (Metrovision, France), a multifunction stimulator device. Retinal structural measurements were obtained in all subjects using Triton swept source optical coherence tomography (Topcon, Japan). Results. Patients with MS presented reduced low-contrast VA (p<0.001) and reduced CSV at medium (p=0.001, p=0.013) and low (p=0.001, p=0.002) spatial frequencies. All visual field parameters were found to be altered in MS patients compared with controls (≤0.001). Patients with MS presented lower amplitude of the P100 waveform of the mfVEP in areas corresponding to central (p<0.001), inferonasal (p=0.001), and inferotemporal (p=0.003) retina. The pattern ERG did not show significant differences. Significant correlations were observed between structural retinal measurements and functional parameters, especially between the inner macular areas and measurements corresponding to contrast sensitivity and perimetry indexes. Conclusions. Patients with MS present visual dysfunction detectable with the vision monitor unit Monpack One. This device may be a fast and useful tool to provide a full evaluation of axonal damage in patients with multiple sclerosis.

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Section: Discussionsupporting

confidence: 89%

Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor

Satué

Jarauta

Obís

et al. 2019

Journal of Ophthalmology

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“…The contrast sensitivity function (CSF) provides a comprehensive assessment of spatial vision at a variety of spatial frequencies, 1 and is used to evaluate and screen a variety of visual disorders. 2 – 8 The conventional CSF measurement in the laboratory is very time-consuming, 9 while the clinically available chart for CSF assessment, such as the Vistech chart or Functional Acuity Contrast Test (FACT) exhibited very poor test–retest reliability. 10 , 11 Recently, Lesmes et al 12 developed the Bayesian adaptive quick CSF (qCSF) method to efficiently measure the CSF with high precision and accuracy.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Contrast Sensitivity Function Using the qCSF Method With 10 Digits

Zheng

Wang

Cui

et al. 2018

Trans. Vis. Sci. Tech.

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PurposeThe Bayesian adaptive quick contrast sensitivity function (qCSF) method with a 10-letter identification task provides an efficient CSF assessment. However, large populations are unfamiliar with letters and cannot benefit from this test. To overcome the barrier, we conducted this study.MethodA new font for digits (0∼9) was created. The digits were then filtered with a raised cosine filter, rescaled to different sizes to cover spatial frequencies from 0.5 to 16 cycles per degree (cpd), and used as stimuli in a 10-alternative forced choice (10AFC) digit identification task. With the 10AFC digit identification task, the CSFs of five young and five old observers were measured using the qCSF and Psi methods. The estimates from the latter served as reference.ResultsThe new digit font showed significantly improved similarity structure, Levene's test, F(1, 88) = 6.36, P = 0.014. With the 10-digit identification task, the CSFs obtained with the qCSF method matched well with those obtained with the Psi method (root mean square error [RMSE] = 0.053 log10 units). With approximately 30 trials, the precision of the qCSF method reached 0.1 log10 units. With approximately 75 trials, the precision of the CSFs obtained with the qCSF was comparable to that of the CSFs measured by the Psi method in 150 trials.ConclusionsThe qCSF with the 10 digit identification task is validated for both young and old observers.Translational RelevanceThe qCSF method with the 10-digit identification task provides an efficient and precise CSF test especially for people who are unfamiliar with letters.

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“…In MS patients that have previously suffered ON and with a RNFL below 75μm, the VFQ-25 scores dropped approximately 2 points for every 1 μm decrease in the RNFL[ 26 ]. Moreover, quality of vision has been related to poor vision[ 27 , 28 ], low contrast vision[ 7 , 23 ] or contrast sensitivity[ 29 ]. Recently, quality of vision in MS patients was shown to be directly related with the thickness of the pRNFL (although it was not significant in Balk et al study (p = 0.06)) and the volume of GCIPL, both at the binocular and monocular level and irrespective of prior ON [ 25 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Predictors of vision impairment in Multiple Sclerosis

et al. 2018

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Visual impairment significantly alters the quality of life of people with Multiple Sclerosis (MS). The objective of this study was to identify predictors (independent variables) of visual outcomes, and to define their relationship with neurological disability and retinal atrophy when assessed by optical coherence tomography (OCT). We performed a cross-sectional analysis of 119 consecutive patients with MS, assessing vision using high contrast visual acuity (LogMar), 2.5% and 1.25% low contrast visual acuity (Sloan charts), and color vision (Hardy-Rand-Rittler plates). Quality of vision is a patient reported outcome based on an individual's unique perception of his or her vision and was assessed with the Visual Functioning Questionnaire-25 (VFQ-25) with the 10 neuro-ophthalmologic items. MS disability was assessed using the expanded disability status scale (EDSS), the MS functional composite (MSFC) and the brief repetitive battery-neuropsychology (BRB-N). Retinal atrophy was assessed using spectral domain OCT, measuring the thickness of the peripapillar retinal nerve fiber layer (pRNFL) and the volume of the ganglion cell plus inner plexiform layer (GCIPL). The vision of patients with MS was impaired, particularly in eyes with prior optic neuritis. Retinal atrophy (pRNFL and GCIPL) was closely associated with impaired low contrast vision and color vision, whereas the volume of the GCIPL showed a trend (p = 0.092) to be associated with quality of vision. Multiple regression analysis revealed that EDSS was an explanatory variable for high contrast vision after stepwise analysis, GCIPL volume for low contrast vision, and GCIPL volume and EDSS for color vision. The explanatory variables for quality of vision were high contrast vision and color vision. In summary, quality of vision in MS depends on the impairment of high contrast visual acuity and color vision due to the disease.

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Evaluation of contrast sensitivity measurements after retrobulbar optic neuritis in Multiple Sclerosis

Cited by 11 publications

References 25 publications

Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor

Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor

Measuring the Contrast Sensitivity Function Using the qCSF Method With 10 Digits

Predictors of vision impairment in Multiple Sclerosis

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