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ABSTRACT: Purpose
To develop a visual field (VF) feature model to predict the reversal of glaucoma hemifield test (GHT) results to within normal limits (WNL) after 2 consecutive outside normal limits (ONL) results.Design
Retrospective cohort study.Participants
Visual fields of 44 503 eyes from 26 130 participants.Methods
Eyes with 3 or more consecutive reliable VFs measured with the Humphrey Field Analyzer (Swedish interactive threshold algorithm standard 24-2) were included. Eyes with ONL GHT results for the 2 baseline VFs were selected. We extracted 3 categories of VF features from the baseline tests: (1) VF global indices (mean deviation [MD] and pattern standard deviation), (2) mismatch between baseline VFs, and (3) VF loss patterns (archetypes). Logistic regressi
SUBMITTER: Wang M
PROVIDER: S-EPMC6706864 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature