Observational Study of MRI for Breast Cancer Therapy Response
This observational study is looking at how well different types of MRI scans can predict how breast cancer responds to chemotherapy before surgery. You would undergo Diffusion Weighted Imaging (DW-MRI) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI). Researchers want to see if these MRI methods can predict treatment success earlier and more accurately than just measuring tumor size. The study aims to validate a specific DCE-MRI method developed at OHSU across different MRI machines. To join, you must have breast cancer, be scheduled for chemotherapy before surgery, be at least 18 years old, and have no issues with MRI scans or the contrast dye used. The study is currently unclear on its recruitment status.
- Study design
- This is an observational study with a planned enrollment of 135 participants. It is not a randomized trial, meaning participants are not assigned to different treatment groups.
- What's involved
- You would undergo DW-MRI and DCE-MRI scans. These scans are typically part of standard care before and after chemotherapy.
- Compensation
- Not stated in the trial record.
- Follow-up
- Researchers will compare MRI results with tumor response through study completion, up to 5 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Quantitative MRI Assessment of Breast Cancer Therapy Response
At a glance
Conditions
Where it's being run
4 sites across 4 statesStudy leadership
- Wei Huang, Ph.D. · PRINCIPAL_INVESTIGATOR · Corewell Health William Beaumont University Hoospital
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Compare functional MRI biomarkers with tumor size measurement for early prediction of breast cancer response to neoadjuvant chemotherapyThrough study completion, up to 5 years
Functional MRI biomarkers, Kᵗʳᵃⁿˢ (transfer rate constant in min-¹), vₑ (extravascular and extracellular space volume fraction), kₑₚ (efflux rate constant in min-¹), and τᵢ (mean intracellular water lifetime in sec) along with ADC (apparent diffusion coefficient in mm²/sec) will be obtained from DCE- and DW-MRI. Tumor longest diameter (LD) will be measured (in mm). Early changes (%) in each MRI parameter will be derived and correlated with pathologic response status, pathologic complete response (pCR) or non-pCR, obtained from the resected tumor. Predictive accuracy for pCR vs. non-pCR is determined by area under the receiver operating characteristic curve (ROC AUC) for each parameter change (%). Comparison of AUC will determine if change (%) of a functional MRI biomarker is more accurate than LD in prediction of pCR vs. non-pCR. Also, changes (%) of all functional biomarkers will be combined using multivariate logistic regression and compared with that of LD for predictive accuracy.