Visual field progression can be predicted from OCT structural measures

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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.

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

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