AI (Mirai)-guided supplemental MRI to find breast cancer in women at high Mirai risk
Official title: Mirai-MRI: Multi-site Prospective Validation of AI Models for Breast Cancer Risk
Run by University of California, San Francisco · NCT07121972 · Data updated 2026-11-12
This will test whether adding a screening breast MRI finds more cancers in women whose mammograms are flagged as high risk by the Mirai AI model.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years to 89 Years |
| Sex | Women only |
| Enrollment | 400 (estimated) |
| Sponsor | University of California, San Francisco Academic / other |
| Locations | 4 sites (San Diego, California and 3 other locations) |
| Status | Recruiting |
| Started | November 3, 2025 |
| Main results expected | January 31, 2027 |
| Study ends | January 31, 2027 |
| Registry record updated | November 10, 2026 |
| Trial ID | NCT07121972 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Asymptomatic people assigned female at birth aged 40–89 with screening mammograms rated BI-RADS 1 or 2 and whose Mirai risk falls in the top 3% for 2-year risk are ideal candidates.
✕Probably not a fit
People with MRI contraindications, technical-recall mammograms, pregnancy, or those not in the high Mirai risk group are unlikely to benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This single-arm, multi-center study enrolls asymptomatic people assigned female at birth aged 40–89 whose routine mammograms are scored in the top 3% of 2-year risk by the Mirai AI model and are BI-RADS 1 or 2. Enrolled participants receive supplemental screening breast MRI and outcomes measured include cancer detection rate (CDR), positive predictive values (PPV1/2/3), and the false positive rate. The trial will compare CDRs between participants with high Mirai risk who have low versus high Tyrer-Cuzick lifetime risk and will characterize tumor features and associations with demographics, breast density, and hormonal status. Key exclusions include technical mammogram recalls, MRI contraindications (including MRI-unsafe implants, metallic ocular foreign bodies, prior adverse gadolinium reactions), and pregnancy.
Why it matters
Potential benefit: If successful, adding MRI for Mirai-identified high-risk women could detect cancers earlier and allow earlier treatment.
How similar studies have gone: Supplemental screening MRI has previously detected additional cancers in other high-risk groups, but using the Mirai AI model to select MRI candidates is a newer approach with limited prior validation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. All asymptomatic participants assigned female at birth, ages 40-89 years old with screening mammography assessed as Breast Imaging Reporting and Data System (BI-RADS) 1, BI-RADS 2, or initial BI-RADS 0 with subsequent diagnostic mammogram assessed as BI-RADS 1 or BI-RADS 2. 2. Screening mammogram assessed as high-risk by Mirai (top 3 percentile of 2-year risk). 3. Availability of a routine screening mammogram report, along with a subsequent diagnostic mammogram report if applicable, and access to the corresponding Digital Imaging and Communications in Medicine (DICOM) images. 4. Ability to understand and the willingness to sign a written informed consent document. Exclusion Criteria: 1. Screening mammogram that is assessed as BI-RADS 0 for technical recall. 2. Contraindications for MRI: 1. Metallic foreign body in the eye. 2. MRI unsafe implants and/or medical devices. 3. Adverse reaction to a (gadolinium-based) contrast agent in the past. 4. Pregnant women. 5. Claustrophobia. 6. Exceeds site specific size and/or weight limit for MRI. 3. If the participant meets site-specific criteria for screening estimated glomerular filtration rate (eGFR) prior to MRI, participants with severely impaired renal function (GFR \< 30 mL/min) will be excluded. According to University of California, San Francisco's policy for MRI with contrast (gadolinium-containing), serum creatinine with calculation of eGFR should be obtained within 6 weeks of the MRI study for participants with any of the following risk factors: 1. History of "kidney disease" as an adult, including renal tumor or transplant. 2. Diabetes treated with insulin or other prescribed medications. 3. Hypertension (high blood pressure) requiring medication. 4. Multiple myeloma. 5. Solid organ transplant. 6. History of severe hepatic disease/liver transplant/pending liver transplant.
Where it's running
-
University of California, San Francisco
San Francisco, California, United States Recruiting -
University of Massachusetts Memorial Medical Center
Worcester, Massachusetts, United States Recruiting -
University of California, San Diego
San Diego, California, United States Not yet recruiting -
University of Chicago Comprehensive Cancer Center
Chicago, Illinois, United States Not yet recruiting
Study contacts
- Principal investigator: Maggie Chung, MD — University of California, San Francisco
- Study coordinator: Tiffany Tran
- Email: tiffany.tran3@ucsf.edu
- Phone: 877-827-3222
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Genetic assessment of breast cancer risk for women in the DORA programme
This study tests whether a detailed clinical and genetic review can better classify breast cancer risk for women previously identified as moderately increased or high risk.
-
Oncology biobank and longitudinal sample collection at NYCBS
This collects and stores blood, tissue, and health information from adults with cancer, people at higher risk, and healthy donors to help researchers test new cancer tests and treatments.
-
Population genetic testing to detect inherited cancer risk
This project will see if offering genetic testing to adults with female reproductive organs can find inherited changes that raise risk of breast, ovarian, bowel, and womb cancers so they can get earlier screening or preventive care.
-
Community registry for cancer risk assessment and prevention
This study is collecting information from adults at higher risk for cancer to see how we can improve cancer screening and prevention in the community.
-
Understanding how genes affect breast cancer risk
This study is trying to see how genes affect the risk of breast cancer by collecting health surveys and saliva samples from people aged 18 and older in the US.
-
Collecting data to predict cancer risk in at-risk populations
This study is trying to collect samples and health information from people at higher risk of cancer to see if they can find signs that help predict cancer early on.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.