3D imaging and computer analysis to improve Barrett's esophagus diagnosis
Computational 3D pathology for Barrett's esophagus risk stratification
This project uses 3D tissue imaging and computer algorithms to find and grade abnormal cells in people with Barrett's esophagus.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11392894 on NIH RePORTER |
What this research studies
If you have Barrett's esophagus, researchers will scan biopsy tissue in three dimensions without destroying the sample and apply computer programs to search for early cancer changes. This gives a more complete view than standard 2D slices that can miss important features. The team will train and test their algorithms on real biopsy samples and compare results with expert pathologists. The aim is clearer, more consistent diagnoses that help guide the right follow-up or treatment for patients like you.
Who could benefit from this research
Good fit: Ideal candidates are people with Barrett's esophagus who are undergoing endoscopic surveillance and biopsy or who can donate biopsy samples.
Not a fit: People without Barrett's esophagus or those not having biopsy samples are unlikely to benefit directly from this work.
Why it matters
Potential benefit: If successful, this could give more accurate and consistent biopsy diagnoses so people get the right surveillance or treatment sooner.
How similar studies have performed: Computer-based tools have improved some pathology readings on standard 2D slides, but non-destructive 3D pathology for Barrett's is new and still being proven.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Liu, Jonathan T.c. — Stanford University
- Study coordinator: Liu, Jonathan T.c.
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.