Automated topographic test for glaucoma detection and progression
Official title: Development, validation and assessment of an automated, topographic structure-function approach to the detection of glaucoma and its progression
Funded at Columbia University Health Sciences · NIH-11516608 · Data updated 2026-11-12
A new automated method uses topographic structure-function mapping to help diagnose glaucoma earlier and track its progression in patients.
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 start | September 30, 2021 |
| Project end | July 1, 2027 |
| Funding year | 2026 |
| Award (this year) | $248,632 |
| NIH project number | 5R00EY032182-05 |
| Project ID | NIH-11516608 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults at risk for glaucoma or with suspected early glaucomatous damage who undergo OCT and visual field testing.
✕Less likely to help
Patients without glaucoma or those not undergoing OCT/visual field testing may not benefit from this research.
What this research studies
This project focuses on improving glaucoma care by combining widefield OCT scans with visual field tests to better match structural damage to functional loss. The approach uses a topographic algorithm to identify where structure and function disagree and to detect early glaucomatous changes. The work builds on prior findings that a shared topographic view can reveal abnormalities in more eyes than traditional methods. If successful, it could lead to more accurate, earlier diagnoses and better monitoring of disease over time.
Why it matters
Potential benefit: If successful, patients may receive earlier and more reliable detection of glaucoma and its progression, potentially preserving vision.
How similar studies have gone: Previous work has shown promising alignment between topographic structure and function, with high abnormality identification in early disease.
Where this research is happening
-
Columbia University Health Sciences
New York, United States Active
Researchers
- Principal investigator: Tsamis, Emmanouil — Columbia University Health Sciences
- Study coordinator: Tsamis, Emmanouil
Related research
Other NIH-funded projects on the same topics.
-
IOP and CSF Pressure in Glaucoma Risk
This grant studies how eye pressure and cerebrospinal fluid pressure together influence glaucoma risk and vision loss.
-
Comparing tube positions in glaucoma implants to protect corneal cells
This trial compares two tube placements for glaucoma drainage implants to see which better protects corneal cells and controls eye pressure in people with uncontrolled glaucoma.
-
Using AI on eye scans and genes to predict glaucoma risk
This project uses artificial intelligence on eye scans, vision tests, and genetic information to find people most likely to develop or have worsening glaucoma.
-
AI-based glaucoma screening in community health centers
A new, easy-to-use AI screening approach will be tested in federally funded health centers to help identify people at risk for glaucoma, especially in communities with higher risk.
-
Understanding how glaucoma genes control eye cell function
A long-term research project will study how genetic factors affect eye cells in adults with glaucoma to uncover new ideas for protecting vision.
-
Targeted dendrimer-n-acetylcysteine for protecting vision in glaucoma
A new patient-friendly treatment aims to deliver a neuroprotective drug directly to retinal cells to help people with glaucoma preserve their sight.
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.