Advances in perimetry for glaucoma
- PMID: 33443958
- DOI: 10.1097/ICU.0000000000000735
Advances in perimetry for glaucoma
Abstract
Purpose of review: Perimetry remains important for the diagnosis and management of glaucoma despite advances in imaging technology. The purpose of this review is to describe advances in the acquisition and analysis of visual field data and highlight novel techniques for performing perimetry.
Recent findings: Studies have focused on improving the detection of patients at highest risk of severe vision loss and the development of innovative testing strategies that allow for more frequent testing. Artificial intelligence has been utilized in research settings to improve detection and characterization of glaucomatous field damage. Furthermore, tablet-based strategies and virtual reality headsets show promise for glaucoma screening and remote monitoring of patients with glaucoma.
Summary: New testing strategies and research findings have improved our ability to identify patients with both paracentral and mid-peripheral visual field progression. New strategies have the potential to make visual field testing more efficient, reliable and accessible for patients with glaucoma.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
References
-
- Chauhan BC, Garway-Heath DF, Goñi FJ, et al. Practical recommendations for measuring rates of visual field change in glaucoma. Br J Ophthalmol 2008; 92:569–573.
-
- Wu Z, Saunders LJ, Daga FB, et al. Frequency of testing to detect visual field progression derived using a longitudinal cohort of glaucoma patients. Ophthalmology 2017; 124:786–792.
-
- Gracitelli CPB, Zangwill LM, Diniz-Filho A, et al. Detection of glaucoma progression in individuals of African Descent compared with those of European descent. JAMA Ophthalmol 2018; 136:329–335.
-
- Rabiolo A, Morales E, Kim JH, et al. Predictors of long-term visual field fluctuation in glaucoma patients. Ophthalmology 2020; 127:739–747.
-
- Heijl A, Patella VM, Chong LX, et al. A new SITA perimetric threshold testing algorithm: construction and a multicenter clinical study. Am J Ophthalmol 2019; 198:154–165.
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