Detection of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry

Emmanouil Tsamis, Sol La Bruna, Ari Leshno, Carlos Gustavo De Moraes, Donald Hood*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To evaluate the diagnostic performance of optical coherence tomography (OCT) and visual field (VF) summary statistics (metrics) that are available in OCT and VF reports. Methods: OCT disc and macular scans and 24-2 and 10-2 VFs were obtained from 56 healthy control (HC) eyes/participants and 61 eyes/patients with 24-2 mean deviation of better than –6 dB. All metrics were obtained from OCT radial, circle, and posterior pole cube scans and 24-2 and 10-2 VFs. Their diagnostic performances were evaluated, in isolation and in combinations. For specificity, the 56 HC eyes were used. For sensitivity, 40 of the 61 patient eyes were deemed likely glaucomatous based on an automated topographic method that evaluates structure–function (S–F) agreement. Any 1 of these 40 eyes not judged as abnormal by any given metric was considered a false negative. Results: All single OCT and VF metrics misclassified HCs as glaucomatous and missed likely glaucomatous eyes. The best performing single metric was the temporal inferior thickness of the 3.5-mm circle scan, with 96% specificity and 83% sensitivity. Combinations of OCT–OCT and OCT–VF metrics markedly improved specificity. A newly proposed metric that evaluates structure–structure (S–S) agreement at a hemifield level had the highest accuracy. This S–S metric had 98% specificity and 80% sensitivity. Conclusions: OCT and VF metrics, single or in combinations, have only moderate sensitivity for eyes with early glaucoma. Translational Relevance: OCT and VF metrics combinations evaluating S–S or S–F agreement can be highly specific, which is an important implication for clinical and research purposes.

Original languageEnglish
JournalTranslational Vision Science and Technology
Volume11
Issue number3
DOIs
StatePublished - Mar 2022

Funding

FundersFunder number
National Eye InstituteR01EY002115

    Keywords

    • automated perimetry
    • glaucoma
    • glaucoma posterior segment
    • optical coherence tomography
    • summary statistics

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