Combining perimetric suprathreshold and threshold procedures to reduce measurement variability in areas of visual field loss

Abstract

Purpose. Several current perimetric test strategies use information from neighboring test locations to seed the procedure. When this initial estimate is close to the true threshold, the algorithms terminate quickly with low error. However, when neighboring thresholds are dissimilar, seeding procedures in this manner results in poor accuracy and repeatability. This study aims to develop a test procedure that avoids assumptions based on neighboring locations yet terminates with an acceptable number of presentations. We explore the utility of a combined screening and threshold approach. Methods. Our approach [estimation minimizing uncertainty (EMU)] first applies suprathreshold screening and th..