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

NCT ID: NCT07121972

Last Updated: 2025-11-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

400 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-11-03

Study Completion Date

2027-01-31

Brief Summary

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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

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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.

Conditions

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Cancer Risk Breast Cancer Risk

Keywords

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Screening BI-RADS

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SCREENING

Blinding Strategy

NONE

Study Groups

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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.

Group Type EXPERIMENTAL

Magnetic resonance imaging (MRI)

Intervention Type PROCEDURE

Undergo Magnetic resonance (MR) imaging

Artificial Intelligence (AI)

Intervention Type DEVICE

AI applied to MRI images

Interventions

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Magnetic resonance imaging (MRI)

Undergo Magnetic resonance (MR) imaging

Intervention Type PROCEDURE

Artificial Intelligence (AI)

AI applied to MRI images

Intervention Type DEVICE

Other Intervention Names

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MRI MRI Scan AI Models AI Algorithm

Eligibility Criteria

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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.
Minimum Eligible Age

40 Years

Maximum Eligible Age

89 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Breast Cancer Research Foundation

OTHER

Sponsor Role collaborator

University of California, San Francisco

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Maggie Chung, MD

Role: PRINCIPAL_INVESTIGATOR

University of California, San Francisco

Locations

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University of California, San Diego

San Diego, California, United States

Site Status NOT_YET_RECRUITING

University of California, San Francisco

San Francisco, California, United States

Site Status RECRUITING

University of Chicago Comprehensive Cancer Center

Chicago, Illinois, United States

Site Status NOT_YET_RECRUITING

University of Massachusetts Memorial Medical Center

Worcester, Massachusetts, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Tiffany Tran

Role: CONTACT

Phone: 877-827-3222

Email: [email protected]

Facility Contacts

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Tiffany Tran

Role: primary

Role: backup

Other Identifiers

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NCI-2025-06040

Identifier Type: REGISTRY

Identifier Source: secondary_id

25756

Identifier Type: -

Identifier Source: org_study_id