Using deep learning to help identify aggressive prostate cancer on MRI
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI
This study is working on making MRI scans better at telling the difference between aggressive and non-aggressive prostate cancer, which could help reduce unnecessary biopsies and improve how doctors detect cancer, ultimately leading to better treatment choices for patients.
Quick facts
| Grant type | R37 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11006283 on NIH RePORTER |
What this research studies
This research focuses on improving the accuracy of MRI scans in distinguishing between aggressive and non-aggressive prostate cancer. By developing advanced deep learning models that analyze MRI images alongside pathology data, the project aims to reduce the number of unnecessary biopsies and improve cancer detection rates. The methodology involves creating specific MRI biomarkers that correlate with pathology features, enhancing the ability of radiologists to make accurate diagnoses. This approach could significantly impact the management of prostate cancer by providing clearer guidance on treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are American men who are at risk for prostate cancer and require MRI imaging for diagnosis.
Not a fit: Patients with non-prostate cancers or those who do not require MRI imaging for prostate cancer diagnosis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of prostate cancer, reducing unnecessary procedures and improving patient outcomes.
How similar studies have performed: Previous studies have shown promise in using deep learning for cancer detection, indicating that this approach has potential for success.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Rusu, Mirabela — Stanford University
- Study coordinator: Rusu, Mirabela
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.