Improving Prostate Cancer Diagnosis Using 3D Technology
Prostate cancer risk stratification via computational 3D pathology
This project aims to improve how prostate cancer is diagnosed and managed by using new 3D imaging technology on tissue samples.
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-11332164 on NIH RePORTER |
What this research studies
Current prostate cancer diagnosis relies on looking at 2D slices of tissue, which can be subjective and miss important details about the cancer's true shape. This can make it hard to tell if a cancer is slow-growing or aggressive, leading to uncertainty in treatment decisions. Our team is developing a new 3D imaging method that can look at whole tissue samples without damaging them. This technology could provide a more complete and accurate picture of the cancer, helping doctors make better choices for your care.
Who could benefit from this research
Good fit: Patients who have undergone prostate biopsies or surgery for prostate cancer could potentially benefit from this improved diagnostic approach.
Not a fit: Patients without a prostate cancer diagnosis or those whose treatment decisions are already clear may not directly benefit from this specific diagnostic improvement.
Why it matters
Potential benefit: If successful, this technology could lead to more accurate prostate cancer diagnoses, helping doctors better decide who needs aggressive treatment and who can safely choose active surveillance.
How similar studies have performed: While 3D imaging in pathology is an emerging field, the team has demonstrated the technical feasibility of their specific open-top light-sheet microscope technology.
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.