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Reclaiming the Periphery: Automated Kinetic Perimetry for Measuring Peripheral Visual Fields in Patients With Glaucoma

Monter, V. M., Crabb, D. P. ORCID: 0000-0001-8754-3902 & Artes, P. H. (2017). Reclaiming the Periphery: Automated Kinetic Perimetry for Measuring Peripheral Visual Fields in Patients With Glaucoma. Investigative Ophthalmology & Visual Science, 58(2), pp. 868-875. doi: 10.1167/iovs.16-19868


Purpose: Peripheral vision is important for mobility, balance, and guidance of attention, but standard perimetry examines only <20% of the entire visual field. We report on the relation between central and peripheral visual field damage, and on retest variability, with a simple approach for automated kinetic perimetry (AKP) of the peripheral field.

Methods: Thirty patients with glaucoma (median age 68, range 59–83 years; median Mean Deviation −8.0, range −16.3–0.1 dB) performed AKP and static automated perimetry (SAP) (German Adaptive Threshold Estimation strategy, 24-2 test). Automated kinetic perimetry consisted of a fully automated measurement of a single isopter (III.1.e). Central and peripheral visual fields were measured twice on the same day.

Results: Peripheral and central visual fields were only moderately related (Spearman's ρ, 0.51). Approximately 90% of test-retest differences in mean isopter radius were < ±4 deg. Relative to the range of measurements in this sample, the retest variability of AKP was similar to that of SAP.

Conclusions: Patients with similar central visual field loss can have strikingly different peripheral visual fields, and therefore measuring the peripheral visual field may add clinically valuable information.

Publication Type: Article
Additional Information: Copyright 2017 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Publisher Keywords: glaucoma, visual field, peripheral vision, automated kinetic perimet
Departments: School of Health & Psychological Sciences > Optometry & Visual Sciences
Text - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

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