Automated tool that matches eye scans and vision tests to find and follow glaucoma
Development, validation and assessment of an automated, topographic structure-function approach to the detection of glaucoma and its progression
This project builds a computer program that compares detailed retinal scans and visual field tests to spot glaucoma early and track whether it is getting worse for people at risk of vision loss.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11184380 on NIH RePORTER |
What this research studies
You would have your routine eye scans (widefield OCT) and visual field tests (24-2 and 10-2) compared topographically by a computer algorithm to look for matching areas of damage. The team will refine and validate the algorithm using existing and new patient data so it becomes more accurate at finding early glaucomatous changes. The work combines imaging and vision-testing data to create clear maps showing where structure and function agree or disagree. If needed, the tool could be improved with additional clinic visits or shared test records to better detect progression.
Who could benefit from this research
Good fit: Ideal candidates are people with suspected early glaucoma, ocular hypertension, a family history of glaucoma, or those undergoing routine glaucoma monitoring who can perform visual field testing.
Not a fit: Patients with very advanced, obvious vision loss, those with non-glaucomatous optic nerve disease, or people unable to complete visual field testing may not benefit from this approach.
Why it matters
Potential benefit: If successful, this tool could help detect glaucoma earlier and more reliably and help doctors monitor progression so treatment can be started or adjusted sooner.
How similar studies have performed: Previous work by the project team and others has shown that topographic matching of OCT and visual fields can identify abnormal agreement in most early glaucoma eyes, but larger validation is still needed.
Where this research is happening
New York, United States
- Columbia University Health Sciences — New York, United States (Active)
Researchers
- Principal investigator: Tsamis, Emmanouil — Columbia University Health Sciences
- Study coordinator: Tsamis, Emmanouil
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.