Relationship between contrast sensitivity test and disease severity in multiple sclerosis patients

García, A. Soler; Gómez, A. González; Figueroa-Ortiz, L.C.; García-Ben, A.; García-Campos, J.M.

doi:10.1016/j.oftale.2014.08.016

Cited by 8 publications

(6 citation statements)

References 16 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: 88%

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: 88%

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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“…Our study shows that MS patients have significantly lower BCVA, contrast sensitivity, GCIPL, RNFL, and longer P100 latency than healthy controls which are consistent with previous studies [12,24,31]. GCIPL thinning among MS patients may be caused by a microscopic optic nerve inflammatory process, where the retinal ganglion cells (RGCs) are at greater risk for neurodegeneration.…”

Section: Visual Parameters In Ms and Healthy Controlssupporting

confidence: 91%

“…A multicenter study showed that RNFL thickness is lower in secondary progressive type (SPMS) than relapsing-remitting type (RRMS) [23]. RNFL, GCIPL, and contrast sensitivity are also known to affect the Expanded Disability Status Scale (EDSS) score with GCIPL having the strongest association with EDSS [24][25][26]. RNFL thickness lower than 88 μm is associated with a threefold increased risk of EDSS progression in 3 years [27].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Retinal Structure and Optic Nerve Function Changes in Multiple Sclerosis: Longitudinal Study with 1-Year Follow-Up

Estiasari

Diwyacitta

Sidik

et al. 2021

Neurology Research International

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Background. Multiple sclerosis (MS) is an autoimmune disease characterized by inflammation and demyelination of the central nervous system which often involves the optic nerve even though only 20% of the patients experience optic neuritis (ON). Objective. This study aims to compare the retinal structure and optic nerve function between patients with MS and healthy controls (HCs), evaluate optic nerve alterations in MS over 1-year follow-up, and analyze its correlations with disease duration, number of relapses, degree of disability, and different subtypes. Methods. This is a prospective cohort study involving 58 eyes of MS patients. Optic nerve function was evaluated with best-corrected visual acuity (BCVA), contrast sensitivity, and P100 latency, while the retinal structure was evaluated from the GCIPL and RNFL thickness measured with optical coherence tomography (OCT) and fundus photography. Results. The MS group had lower BCVA ( p = 0.001 ), contrast sensitivity ( p < 0.001 ), mean GCIPL thickness ( p < 0.001 ), and mean RNFL thickness ( p < 0.001 ) than HC. At 6 and 12 months of observations, GCIPL and RNFL (nasal quadrant) of MS patients decreased significantly ( p = 0.007 and p = 0.004 , respectively). Disease duration and the number of relapses correlated with delayed P100 latency (r = −0.61, p < 0.001 and r = −0.46, p = 0.02 ). GCIPL and RNFL in the SPMS subtype were thinner than in RRMS. Conclusions. The retinal structure and optic nerve function of MS patients are worse than those of normal individuals. GCIPL and RNFL thinning occurs at 6 and 12 months but do not correlate with disease duration, the number of relapses, and degree of disability.

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“…García et al performed a retrospective study on 62 multiple sclerosis patients and found a significant correlation with optic nerve disease activity and contrast sensitivity performance. Our study adds to the existing literature demonstrating poor contrast delineation in patients with intraretinal fluid or subretinal fluid [26, 27].…”

Section: Discussionsupporting

confidence: 51%

CAPTCHA as a Visual Performance Metric in Active Macular Disease

Vangipuram

Lee

Rezaei

et al. 2019

Journal of Ophthalmology

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Purpose. CAPTCHA (completely automated public turing test to tell computers and humans apart) was designed as a spam prevention test. In patients with visual impairment, completion of this task has been assumed to be difficult; but to date, no study has proven this to be true. As visual function is not well measured by Snellen visual acuity (VA) alone, we theorized that CAPTCHA performance may provide additional information on macular disease-related visual dysfunction. Methods. This was designed as a pilot study. Active disease was defined as the presence of either intraretinal fluid (IRF) or subretinal fluid (SRF) on spectral-domain optical coherence tomography. CAPTCHA performance was tested using 10 prompts. In addition, near and distance VA, contrast sensitivity, and reading speed were measured. Visual acuity matched pseudophakic patients were used as controls. Primary outcome measures were average edit distance and percent of correct responses. Results. 70 patients were recruited: 33 with active macular disease and 37 control subjects. Contrast sensitivity was found to be significantly different in both the IRF (p<0.01) and SRF groups (p<0.01). No significant difference was found comparing the odds ratio of average edit distance of active disease (IRF, SRF) vs. control (OR 1.09 (0.62, 1.90), 1.10 (0.58, 2.05), p=0.77, 0.77) or percent correct responses of active disease vs. control (OR 0.98 (0.96, 1.01), 1.09 (0.58, 2.05), p=0.22,0.51) in CAPTCHA testing. The goodness of fit using logistic regression analysis for the dependent variables of either IRF or SRF did not improve accounting for average edit distance (p=0.49, p=0.27) or percent correct (p=0.89, p=0.61). Conclusions. Distance VA and contrast sensitivity are positively correlated with the presence of IRF and SRF in active macular disease. CAPTCHA performance did not appear to be a significant predictor of either IRF or SRF in our pilot study.

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Relationship between contrast sensitivity test and disease severity in multiple sclerosis patients

Cited by 8 publications

References 16 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

Evaluation of Retinal Structure and Optic Nerve Function Changes in Multiple Sclerosis: Longitudinal Study with 1-Year Follow-Up

CAPTCHA as a Visual Performance Metric in Active Macular Disease

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