Quantification of Visual Field Variability in Glaucoma: Implications for Visual Field Prediction and Modeling.

ABSTRACT:

Purpose

To quantify visual field (VF) variability as a function of threshold sensitivity and location, and to compare weighted pointwise linear regression (PLR) with unweighted PLR and pointwise exponential regression (PER) for data fit and prediction ability.

Methods

Two datasets were used for this retrospective study. The first was used to characterize and estimate VF variability, and included a total of 4,747 eyes of 3,095 glaucoma patients with six or more VFs and 3 years or more of follow-up. After performing PER for each series, standard deviation of residuals was quantified for each decibel of sensitivity as a measure of variability. A separate dataset was used to test and compare unweighted PLR, weighted PLR, and PER for data fit and prediction, and included 261 eyes

SUBMITTER: Rabiolo A 

PROVIDER: S-EPMC6798312 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature