Targeted spatial sampling using GOANNA improves detection of visual field progression

Abstract

PURPOSE: A new automated visual field testing approach that samples scotoma edges at a finer spatial resolution, GOANNA (Gradient-Oriented Automated Natural Neighbour Approach) was previously shown to improve accuracy and precision around those regions compared to current procedures in computer simulation. The purpose of this study was to observe if this improvement translated to more accurate classification of glaucomatous progression. METHODS: Computer simulations were undertaken on six procedures: three variants of GOANNA on 150 locations; two variants of ZEST on 52 locations; and the ideal case where true thresholds are perfectly measured. The median number of presentations of GOANNA was..