Recruiting

Mirai-MRI

Sponsor:

UCLA

Code:

NCT07121972

Conditions

Cancer Risk

Breast Cancer Risk

Eligibility Criteria

Sex: Female

Age: 40 - 70+

Healthy Volunteers: Accepted

Interventions

Magnetic resonance imaging (MRI)

Artificial Intelligence (AI)

Study Details

Brief summary:

This is a multi-center, single arm trial to evaluate the cancer detection rate of supplemental screening magnetic resonance imaging (MRI) in participants who are high-risk by Mirai-MRI assessment. Mirai is an accurate cancer risk model based on full-resolution mammograms.

Conditions

Cancer Risk

Breast Cancer Risk

Study ID

NCT07121972

Start date

Nov 3, 2025

Status verified date

Nov, 2025

Completion date

Jan 31, 2027

Anticipated

Primary completion date

Jan 31, 2027

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: Female

Age: 40 - 70+

Healthy Volunteers: Accepted

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.

Study Design

Enrollment

400 participants

Anticipated

Intervention Model

Single group

Primary purpose

Screening

Interventions and Outcome Measures

Arms

experimental: Supplemental MRI

Participants identified as Mirai high-risk on a negative/benign screening mammogram will receive a supplemental MRI within 12 months of receiving a screening mammogram. Breast cancer risk following the Tyrer-Cuzick risk model will be assessed for comparison.

Interventions

Magnetic resonance imaging (MRI)

Undergo Magnetic resonance (MR) imaging

Artificial Intelligence (AI)

AI applied to MRI images

Primary outcome measure

  • Cancer detection rate (CDR) [ Time Frame: Up to 1 year ]

Central Contacts and Locations

Central contacts

Locations

University of California, San Francisco

Recruiting

San Francisco, California, United States, 94143

Contacts

Principal Investigator:

Maggie Chung, MD

University of Massachusetts Memorial Medical Center

Recruiting

Worcester, Massachusetts, United States, 01655

More Information

Sponsor

University of California, San Francisco

Last update posted

Nov 6, 2025

Last verified

Nov, 2025

Keywords

  • Screening
  • BI-RADS

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-10. This information was provided to ClinicalTrials.gov by University of California, San Francisco on 2025-11-06.