Improving ovarian cancer treatment predictions using advanced imaging techniques
Early Evaluation of Ovarian Cancer Prognosis by Fusing Radiographic and Histopathologic Imaging Information
This study is looking to improve how doctors predict which ovarian cancer patients will respond well to chemotherapy by using advanced computer techniques to analyze CT scans and tissue images, helping to identify the best treatment options for each patient.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Oklahoma NIH-funded |
| Lab location | 1 site (Norman, United States) |
| Project ID | NIH-11005785 on NIH RePORTER |
What this research studies
This research aims to enhance the prediction of how ovarian cancer patients will respond to chemotherapy by combining information from radiographic and histopathologic images. Using advanced machine learning techniques, the study will analyze quantitative features from CT scans and digital pathology images to create a new imaging marker. This marker is expected to provide valuable insights into which patients are likely to benefit from specific chemotherapy treatments, addressing a significant gap in current clinical practice. The research will involve both retrospective and prospective patient data to validate the effectiveness of this approach.
Who could benefit from this research
Good fit: Ideal candidates for this research are ovarian cancer patients undergoing chemotherapy who have diverse tumor characteristics.
Not a fit: Patients with non-ovarian cancers or those not receiving chemotherapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective chemotherapy treatments for ovarian cancer patients.
How similar studies have performed: Other research has shown promising results using similar imaging fusion techniques, indicating potential for success in this novel approach.
Where this research is happening
Norman, United States
- University of Oklahoma — Norman, United States (Active)
Researchers
- Principal investigator: Qiu, Yuchen — University of Oklahoma
- Study coordinator: Qiu, Yuchen
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.