Abstract
This chapter aims to describe and update several aspects on visual field testing in glaucoma, including its fundaments, methodology, and illustrations. First, basic aspects on the visual field and standard automated perimetry are considered. Next, the importance of quality of results for both single field analysis and visual field series is emphasized in order to obtain a reliable baseline and follow-up information. Criteria recommended for glaucoma diagnosis are then revisited, suggesting use of change detection algorithms, like event and trend analysis, in addition to classic binary classifiers. The use of these algorithms in progression detection and assessment is outlined as well. Following on from this, it is described how the rate of progression can be estimated and used in clinical practice. Finally, the challenge of measuring and monitoring advanced damage is briefly discussed.
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Notes
- 1.
In this chapter, all the examples of VF printouts come from Carl Zeiss-Meditec Humprey Field Analyzer (HFA) system.
- 2.
In the HFA system, MD values are represented as negative values, but terms like “increased” or “elevated” are frequently used in clinical practice, as MD is intuitively considered an absolute number. In the written text, we will preserve the negative sign for MD and VFI, and “increased” or “elevated” will actually refer to more negative values.
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Goñi, F.J., Maja, K. (2016). Standard Automated Perimetry. In: Ferreras, A. (eds) Glaucoma Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-18959-8_1
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DOI: https://doi.org/10.1007/978-3-319-18959-8_1
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