The Glaucoma Suspect Problem: Ways Forward

Ari Leshno, Jeffrey M. Liebmann*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The diagnosis of glaucoma depends upon indentification of characteristic damage to the optic nerve and retinal fiber layer. In many cases, however, clinicians find it difficult to ascertain whether glaucomatous damage is present or absent. These patients are often labeled as "glaucoma suspects,"which creates a subpopulation of individuals without clear-cut disease who nonetheless must remain under surveillance. Most will never go on to develop glaucoma, yet the need for ongoing monitoring burdens clinics and health care systems. In this perspective, we illustrate possible directions and novel approaches that can be used to remedy this situation by integrating current technologies into clinical practice. In particular, we suggest that optical coherence tomography be better utilized to methodologically classify these eyes into glaucomatous and healthy categories.

Original languageEnglish
Pages (from-to)503-504
Number of pages2
JournalAsia-Pacific Journal of Ophthalmology
Volume11
Issue number6
DOIs
StatePublished - 24 Nov 2022

Funding

FundersFunder number
Columbia University Department of Ophthalmology
Research to Prevent Blindness

    Keywords

    • artificial intelligence
    • glaucoma detection
    • glaucoma suspect
    • optical coherence tomography
    • suspicious disc

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