MRI Screening for High-Risk Breast Cancer Detection
Trial Summary
What is the purpose of this trial?
Accurate risk assessment is essential for the success of population screening programs and early detection efforts in breast cancer. Mirai is a new deep learning model based on full resolution mammograms. Mirai is a mammography-based deep learning model designed to predict risk at multiple timepoints, leverage potentially missing risk factor information, and produce predictions that are consistent across mammography machines. Mirai was trained on a large dataset from Massachusetts General Hospital (MGH) in the United States and found to be significantly more accurate than the Tyrer-Cuzick model, a current clinical standard. The primary aim of this study is to prospectively quantify the clinical benefit (i.e. MRI/CEM cancer detection rate) of Mirai-based guidelines and to compare them to the current standard of care. 1. Conduct a prospective study where patients who are identified as high risk by Mirai guidelines are invited to receive supplemental MRI within 12 months. 2. Compare cancer outcomes between patients only identified as high risk by Mirai and patients identified as high risk by existing guidelines The secondary aim is to study the impact of new guidelines by race and ethnicity, to ensure equitable improvements in cancer screening.
Do I need to stop my current medications for this trial?
The trial protocol does not specify whether you need to stop taking your current medications.
What data supports the effectiveness of the treatment Breast MRI for high-risk breast cancer detection?
Is breast MRI generally safe for humans?
How is the treatment Breast MRI different from other treatments for high-risk breast cancer detection?
Breast MRI is unique because it uses magnetic fields and radio waves to create detailed images of the breast, making it highly sensitive in detecting breast cancer, especially in high-risk women. Unlike traditional mammograms, MRI can find cancers that are not visible on mammograms, but it is more expensive and may lead to more false positives.1271011
Research Team
Mohammed Shazeeb, PhD
Principal Investigator
UMass Chan Medical School
Eligibility Criteria
This trial is for women over 40 identified as high risk for breast cancer using the Mirai model or traditional guidelines. They must have had a mammogram at Umass sites with results in the EHR and be willing to undergo an MRI. Pregnant women, those under 40, men, and anyone with poor quality mammogram images are excluded.Inclusion Criteria
Exclusion Criteria
Timeline
Screening
Participants are screened for eligibility to participate in the trial
Prospective Study
Patients identified as high risk by Mirai guidelines are invited to receive supplemental MRI
Outcome Comparison
Compare cancer outcomes between patients identified as high risk by Mirai and those identified by existing guidelines
Follow-up
Participants are monitored for cancer development compared to the general population
Treatment Details
Interventions
- Breast MRI
Breast MRI is already approved in United States, European Union for the following indications:
- Breast cancer screening for high-risk individuals
- Supplemental screening for breast cancer detection
- Breast cancer screening for high-risk individuals
- Supplemental screening for breast cancer detection
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Massachusetts, Worcester
Lead Sponsor
Massachusetts Institute of Technology
Collaborator
Breast Cancer Research Foundation
Collaborator