Introducing a new method to assess vision: Computer-adaptive contrast-sensitivity testing predicts visual functioning better than charts in multiple sclerosis patients

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Abstract

Background: Impaired low-contrast visual acuity (LCVA) is common in multiple sclerosis (MS) and other neurological diseases. Its assessment is often limited to selected contrasts, for example, 2.5% or 1.25%. Computerized adaptive testing with the quick contrast-sensitivity function (qCSF) method allows assessment across expanded contrast and spatial frequency ranges. Objective: The objective of this article is to compare qCSF with high- and low-contrast charts and patient-reported visual function. Methods: We enrolled 131 consecutive MS patients (mean age 39.6 years) to assess high-contrast visual acuity (HCVA) at 30 cm and 5 m, low-contrast vision with Sloan charts at 2.5% and 1.25%, qCSF and the National Eye Institute Visual Functioning Questionnaire (NEIVFQ). Associations between the different measures were estimated with linear regression models corrected for age, gender and multiple testing. Results: The association between qCSF and Sloan charts (R2= 0.68) was higher than with HCVA (5 m: R2= 0.5; 30 cm: R2= 0.41). The highest association with NEIVFQ subscales was observed for qCSF (R2 0.20–0.57), while Sloan charts were not associated with any NEIVFQ subscale after correction for multiple testing. Conclusion: The qCSF is a promising new outcome for low-contrast vision in MS and other neurological diseases. Here we show a closer link to patient-reported visual function than standard low- and high-contrast charts.

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Stellmann, J. P., Young, K. L., Pöttgen, J., Dorr, M., & Heesen, C. (2015). Introducing a new method to assess vision: Computer-adaptive contrast-sensitivity testing predicts visual functioning better than charts in multiple sclerosis patients. Multiple Sclerosis Journal - Experimental, Translational and Clinical, 1. https://doi.org/10.1177/2055217315596184

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