Visual field progression can be predicted from OCT structural measures

Using baseline and longitudinal structural data, visual field (VF) progression can be predicted with clinically relevant accuracy in patients with glaucoma, according to a study.

In this prospective cohort study, 104 eyes from 104 patients with ≥3 years of follow-up and ≥5 VF exams were enrolled. Visual field progression was defined based on pointwise linear regression on 24-2 VF and elastic net logistic regression (ENR) and machine learning were used to predict VF progression with demographics, baseline circumpapillary retinal nerve fiber layer (RNFL) and macular ganglion cell/inner plexiform layer (GCIPL) thickness, and RNFL and GCIPL change rates at central 24 superpixels and 3 eccentricities 3.4°, 5.5° and 6.8° from fovea and hemimaculas.

The average follow-up time was 4.5 years and there was an average of 8.7 VF exams. A total 23 eyes had VF progression. VF progression was able to be predicted with clinically relevant precision from baseline and longitudinal structural data.

Reference
Nouri-Mahdavi K, Mohammadz V, Rabiolo A, et al. Prediction of visual field progression from OCT structural measures in moderate to advanced glaucoma. Am J Ophthalmol. 2021; DOI:https://doi.org/10.1016/j.ajo.2021.01.023