Understanding how radiologists search 3D breast images to detect cancer
Official title: Visual Search in 3D Medical Images
Funded at University of California Santa Barbara · NIH-11345829 · Data updated 2026-11-12
A study to help doctors read 3D mammograms more accurately and quickly, potentially reducing missed cancers and false alerts.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Santa Barbara NIH-funded |
| Lab location | 1 site (Santa Barbara, United States) |
| Project start | September 15, 2018 |
| Project end | May 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $390,683 |
| NIH project number | 5R01EB026427-07 |
| Project ID | NIH-11345829 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients who undergo 3D/ tomosynthesis breast imaging and whose radiology reads could be influenced by optimized reading strategies.
✕Less likely to help
Patients whose imaging findings are already straightforward or who are not evaluated with the specific 3D techniques studied may see little direct benefit.
What this research studies
This project looks at how radiologists search through 3D breast images to find tumors, with the goal of improving detection and keeping reading times reasonable. It uses data from digital breast tomosynthesis to explore patterns of eye movements and how image slices are reviewed. The team aims to identify metrics and parameters that optimize image acquisition and processing for better diagnostic performance. The work is grounded in human viewing behavior and real clinical imaging tasks, with findings that could guide future improvements in breast cancer screening.
Why it matters
Potential benefit: If successful, the work could lead to more accurate and faster reading of 3D breast images, reducing missed cancers and unnecessary recalls.
How similar studies have gone: Prior work suggests that understanding radiologist search patterns can inform better imaging protocols and software tools, though exact 3D search dynamics are still being explored.
Where this research is happening
-
University of California Santa Barbara
Santa Barbara, United States Active
Researchers
- Principal investigator: Eckstein, Miguel Patricio — University of California Santa Barbara
- Study coordinator: Eckstein, Miguel Patricio
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.