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RecruitingInterventional

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

NCT ID: NCT07121972Sponsor: University of California, San FranciscoLast updated: 2025-11-06

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.

Detailed description

PRIMARY OBJECTIVE: I. To estimate the cancer detection rate (CDR) of supplemental screening breast MRI in participants who are high-risk by the Mirai model SECONDARY OBJECTIVES: I. To estimate the CDR of supplemental screening breast MRI in participants with high Mirai risk and low (\<20%) lifetime Tyrer-Cuzick (TC) risk. II. To compare the CDR of supplemental screening breast MRI in participants with high Mirai risk and high (≥ 20%) lifetime TC risk versus CDR in participants with high Mirai risk and low (\<20%) lifetime TC risk. III. To estimate the positive predictive value (PPV)1, PPV2, and PPV3 of supplemental MRI screening in participants with high Mirai risk. IV. To estimate the false positive rate (1 - specificity) of supplemental screening MRI in participants with high Mirai risk. V. To evaluate the tumor size, stage, grade, histological and molecular subtypes, Ki-67 percentage, and lymph node involvement of cancers detected on supplemental screening MRI in Mirai high risk participants. VI. To evaluate the association between race/ethnicity, menopausal status, hormonal status, breast density, family history of cancer, and CDR in Mirai high-risk participants.

Arms & interventions

  • ProcedureMagnetic resonance imaging (MRI)

    Undergo Magnetic resonance (MR) imaging

  • DeviceArtificial Intelligence (AI)

    AI applied to MRI images

Outcome measures

Primary

  • Cancer detection rate (CDR)

    The CDR is defined as the number of breast cancers identified per 1,000 magnetic resonance imaging (MRI) screening examinations performed 1 year following supplemental screening MRI.

    Time frame: Up to 1 year

Secondary

  • CDR of participants designated as low risk using the Tyrer-Cuzick (TC) criteria

    Time frame: Up to 1 year

  • Comparison of CDR in low and high TC risk groups

    Time frame: Up to 1 year

  • Positive predictive value of supplemental MRI screening and BI-RADS Score (PPV1)

    Time frame: Up to 1 year

  • Positive predictive value of supplemental MRI screening recommending histological or surgical follow-up (PPV2)

    Time frame: Up to 1 year

  • Positive predictive value of biopsies resulting in histological diagnosis (PPV3)

    Time frame: Up to 1 year

  • False Positive Rate (FPR)

    Time frame: Up to 1 year

  • Mean tumor size detected in supplemental imaging

    Time frame: Up to 1 year

  • Frequency of tumor stage detected in supplemental imaging

    Time frame: Up to 1 year

  • Proportion of participants with Ki-67 expressed biomarker

    Time frame: Up to 1 year

  • Proportion of participants with lymph node involvement detected in supplemental imaging

    Time frame: Up to 1 year

  • Correlation between race/ethnicity and CDR

    Time frame: Up to 1 year

  • Correlation between menopausal status and CDR

    Time frame: Up to 1 year

  • Correlation between hormonal status and CDR

    Time frame: Up to 1 year

  • Correlation between breast density and CDR

    Time frame: Up to 1 year

  • Correlation between family history of cancer and CDR

    Time frame: Up to 1 year

Eligibility criteria

Sex: FemaleAge: 40 Years to 89 YearsHealthy volunteers: Yes
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 locations (4)

University of California, San Diego

San Diego, California, 92093

Not Yet Recruiting

University of California, San Francisco

San Francisco, California, 94143

Recruiting
Tiffany Tran · Contact
Maggie Chung, MD · Principal Investigator
Adam Yala, PhD · Principal Investigator

University of Chicago Comprehensive Cancer Center

Chicago, Illinois, 60637

Not Yet Recruiting

University of Massachusetts Memorial Medical Center

Worcester, Massachusetts, 01655

Recruiting