Using MRI scans and clinic tests to better predict outcomes for multiple myeloma
A framework for integrating MR imaging and clinical tests for prediction of outcomes in multiple myeloma treatment
This project uses regular MRI images combined with routine clinic tests to help predict how people with multiple myeloma will do on treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-11233268 on NIH RePORTER |
What this research studies
Researchers will collect repeated MRI scans and standard clinical test results from people with multiple myeloma during and after treatment. They will use advanced data methods and AI to combine the time-series imaging and lab information into a predictive model. The team will build a decision-support tool that aims to flag early signs of treatment success or failure. The tool is intended to help doctors tailor risk-adapted treatment plans earlier in care.
Who could benefit from this research
Good fit: Ideal candidates are people diagnosed with multiple myeloma who can undergo serial MRI scans and routine clinic testing during and after therapy, including those with non-secretory disease.
Not a fit: Patients who cannot have MRI scans, lack regular clinic follow-up, or who need immediate treatment decisions may not directly benefit from this project right away.
Why it matters
Potential benefit: If successful, this could help doctors personalize therapy sooner and improve long-term control for people with multiple myeloma.
How similar studies have performed: Prior tools use lab values or single MRIs for prognosis, but combining time-series MRI with clinical data via AI is a newer approach with limited prior validation.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Zhou, Chuan — University of Michigan at Ann Arbor
- Study coordinator: Zhou, Chuan
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.