Using advanced imaging to improve diagnosis and treatment prediction in multiple myeloma
Official title: AI-assisted quantitative photon-counting-detector CT imaging for cytogenetic risk prediction and treatment response in multiple myeloma
Funded at Mayo Clinic Rochester · NIH-11104309 · Data updated 2026-11-12
This study is exploring a new type of imaging technology to help doctors better understand and predict how multiple myeloma will respond to treatment, so patients can receive more accurate care tailored to their specific needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | April 1, 2025 |
| Project end | January 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $546,874 |
| NIH project number | 1R01EB036987-01 |
| Project ID | NIH-11104309 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with multiple myeloma who require cytogenetic assessment for risk stratification.
✕Less likely to help
Patients who do not have a diagnosis of multiple myeloma or those who are not undergoing treatment for the disease may not benefit from this research.
What this research studies
This research focuses on enhancing the diagnosis and treatment response prediction for multiple myeloma using a new imaging technology called photon-counting detector CT. Traditional bone marrow biopsies often fail to capture the full complexity of the disease, leading to inaccurate risk assessments. By employing advanced imaging techniques, the study aims to create models that can better stratify patients based on their cytogenetic risk. This approach could provide a more comprehensive understanding of the disease and improve treatment outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk assessments and personalized treatment plans for patients with multiple myeloma.
How similar studies have gone: Other research has shown promise in using advanced imaging techniques for cancer diagnosis and treatment monitoring, suggesting that this approach could be effective.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Baffour, Francis — Mayo Clinic Rochester
- Study coordinator: Baffour, Francis
Related research
Other NIH-funded projects on the same topics.
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Integrative study of multiple myeloma genetics and disease biology
A team at Dana-Farber and partners is pursuing a long-term project to understand the genetic and molecular drivers of multiple myeloma and how treatments interact with disease biology.
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Comparative Modeling to Prevent, Detect Early, and Treat Multiple Myeloma
A research team will build and compare computer models to understand how multiple myeloma develops, can be detected earlier, and treated more effectively.
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How LDL Affects Multiple Myeloma: New Pathways to Keep Remission
A new grant is studying how cholesterol from LDL particles fuels multiple myeloma and how this interaction influences the tumor environment and immune response, with goals to help patients stay in remission.
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Therapy-induced senescence and immune activation in multiple myeloma
A study in people with multiple myeloma will explore how treatment-related senescence in cancer cells may stimulate the immune system and affect cancer return after standard frontline therapy.
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BCMA CAR-T enteritis: understanding immune toxicities in multiple myeloma
A broad study to uncover why some CAR-T cell treatments targeting BCMA cause severe intestinal inflammation in people with multiple myeloma.
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Understanding Drug-Resistant Multiple Myeloma to Stop Relapse
Researchers are studying why some myeloma cells resist treatment and how to create new therapies to prevent relapse.
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.