Using advanced MRI and AI to better classify prostate cancer
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
This study is looking to improve how doctors tell apart aggressive and non-aggressive prostate cancer by using advanced MRI scans and artificial intelligence, so that patients can get the right treatment based on their specific cancer type.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10793627 on NIH RePORTER |
What this research studies
This research aims to enhance the classification of prostate cancer by integrating quantitative MRI techniques with artificial intelligence. By utilizing multi-parametric MRI, which includes various imaging methods, the project seeks to improve the accuracy of distinguishing between aggressive and non-aggressive forms of prostate cancer. This is crucial as current diagnostic methods often lead to misclassification, resulting in inappropriate treatment decisions. The study will analyze imaging data to develop a more reliable scoring system that can guide better management strategies for patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are men diagnosed with prostate cancer who are undergoing evaluation for treatment options.
Not a fit: Patients with non-cancerous prostate conditions or those who have already received definitive treatment for prostate cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and tailored treatment plans for prostate cancer patients, potentially reducing unnecessary treatments and improving outcomes.
How similar studies have performed: Previous research has shown promise in using AI and advanced imaging techniques for cancer classification, indicating that this approach could yield significant advancements in prostate cancer diagnostics.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Sung, Kyung Hyun — University of California Los Angeles
- Study coordinator: Sung, Kyung Hyun
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.