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Mirai-MRI: Validation of AI Models for Breast Cancer Risk

University of California, San Francisco · with Breast Cancer Research Foundation · NCT07121972

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 40–89 · Women only
Healthy volunteers
Accepted
Study type
Interventional · Not applicable
Target enrollment
400
US sites recruiting
2
Study start
November 3, 2025
Record last updated
November 6, 2025

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

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.

Being studied: Magnetic resonance imaging (MRI); Artificial Intelligence (AI)

Conditions: Cancer Risk; Breast Cancer Risk

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

Inclusion Criteria

  • 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.
  • Screening mammogram assessed as high-risk by Mirai (top 3 percentile of 2-year risk).
  • 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.
  • Ability to understand and the willingness to sign a written informed consent document.

Exclusion Criteria

  • Screening mammogram that is assessed as BI-RADS 0 for technical recall.
  • Contraindications for MRI:
  • Metallic foreign body in the eye.
  • MRI unsafe implants and/or medical devices.
  • Adverse reaction to a (gadolinium-based) contrast agent in the past.
  • Pregnant women.
  • Claustrophobia.
  • Exceeds site specific size and/or weight limit for MRI.
  • 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:
  • History of "kidney disease" as an adult, including renal tumor or transplant.
  • Diabetes treated with insulin or other prescribed medications.
  • Hypertension (high blood pressure) requiring medication.
  • Multiple myeloma.
  • Solid organ transplant.
  • History of severe hepatic disease/liver transplant/pending liver transplant.

Recruiting US locations

  • University of California, San Francisco

    San Francisco, CA 94143

    Site contact: Tiffany Tran · tiffany.tran3@ucsf.edu

  • University of Massachusetts Memorial Medical Center

    Worcester, MA 01655

Study contacts (from the official record)

  • Tiffany Tran · 877-827-3222 · tiffany.tran3@ucsf.edu
Mirai-MRI: Validation of AI Models for Breast Cancer Risk (NCT07121972) | Bored Studies