MIRAI-MRI: Comparing Screening MRI for Patients at High Risk for Breast Cancer Identified by Mirai and Tyrer-Cuzick
Part of paid clinical trials in Worcester, Massachusetts.
- Sponsor
- University of Massachusetts, Worcester
- Study ID
- NCT05968157
- Status
- Recruiting
Conditions
Eligibility Criteria
- Sex
- FEMALE
- Age
- 40 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Breast MRI — DIAGNOSTIC_TESTSupplemental MRI (in addition to standard of care MRI).
- MIRAI — DEVICEArtificial intelligence software
Study Details
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.
Key Dates
- Start date
- Feb 4, 2024
- Status verified
- Jan 2026
- Primary completion
- Jun 30, 2026
- Completion
- Sep 30, 2027
Study Design
- Enrollment
- 200 participants (estimated)
- Allocation
- NON_RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- SCREENING
Arms
- Experimental: High Risk Participants--MIRAIPatients who are deemed high risk on standard breast screening mammogram by the MIRAI model
- Active Comparator: High Risk Participants--non-MIRAIPatients who are deemed high risk by Tyrer-Cuzick model but not MIRAI
Primary Outcome Measure
CDR Mirai Assessment versus CDR Traditional High Risk Screening [ Time Frame: 1.5 years (duration of patient recruitment and outcome data collection) ]
Central Contacts
- Sara Schiller, MPH7744417731
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| UMass Medical School | Worcester | Massachusetts | 01655 |
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