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

Status: Recruiting
Location: See all (4) locations...
Intervention Type: Device, Procedure
Study Type: Interventional
Study Phase: Not Applicable
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.

Eligibility
Participation Requirements
Sex: Female
Minimum Age: 40
Maximum Age: 89
Healthy Volunteers: t
View:

• 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.

Locations
United States
California
University of California, San Diego
NOT_YET_RECRUITING
San Diego
University of California, San Francisco
RECRUITING
San Francisco
Illinois
University of Chicago Comprehensive Cancer Center
NOT_YET_RECRUITING
Chicago
Massachusetts
University of Massachusetts Memorial Medical Center
RECRUITING
Worcester
Contact Information
Primary
Tiffany Tran
tiffany.tran3@ucsf.edu
877-827-3222
Time Frame
Start Date: 2025-11-03
Estimated Completion Date: 2027-01-31
Participants
Target number of participants: 400
Treatments
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.
Related Therapeutic Areas
Sponsors
Collaborators: Breast Cancer Research Foundation
Leads: University of California, San Francisco

This content was sourced from clinicaltrials.gov