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Clinical Trials/NCT07121972
NCT07121972RecruitingNot Applicable

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

University of California, San Francisco4 sites in 1 country400 target enrollmentStarted: November 3, 2025Last updated:
Conditions
Interventions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Enrollment
400
Locations
4
Primary Endpoint
Cancer detection rate (CDR)

Study Overview

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.

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.

Study Design

Study Type
Interventional
Allocation
Na
Intervention Model
Single Group
Primary Purpose
Screening
Masking
None

Eligibility Criteria

Ages
40 Years to 89 Years (Adult, Older Adult)
Sex
Female
Accepts Healthy Volunteers
Yes

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
  • •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.

Arms & Interventions

Supplemental MRI

Experimental

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.

Intervention: Magnetic resonance imaging (MRI) (Procedure)

Supplemental MRI

Experimental

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.

Intervention: Artificial Intelligence (AI) (Device)

Outcomes

Primary Outcomes

Cancer detection rate (CDR)

Time Frame: Up to 1 year

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.

Secondary Outcomes

  • Comparison of CDR in low and high TC risk groups(Up to 1 year)
  • Proportion of participants with lymph node involvement detected in supplemental imaging(Up to 1 year)
  • CDR of participants designated as low risk using the Tyrer-Cuzick (TC) criteria(Up to 1 year)
  • Positive predictive value of supplemental MRI screening and BI-RADS Score (PPV1)(Up to 1 year)
  • Positive predictive value of supplemental MRI screening recommending histological or surgical follow-up (PPV2)(Up to 1 year)
  • Positive predictive value of biopsies resulting in histological diagnosis (PPV3)(Up to 1 year)
  • False Positive Rate (FPR)(Up to 1 year)
  • Mean tumor size detected in supplemental imaging(Up to 1 year)
  • Correlation between menopausal status and CDR(Up to 1 year)
  • Frequency of tumor stage detected in supplemental imaging(Up to 1 year)
  • Proportion of participants with Ki-67 expressed biomarker(Up to 1 year)
  • Correlation between race/ethnicity and CDR(Up to 1 year)
  • Correlation between hormonal status and CDR(Up to 1 year)
  • Correlation between breast density and CDR(Up to 1 year)
  • Correlation between family history of cancer and CDR(Up to 1 year)

Investigators

Sponsor Class
Other
Responsible Party
Sponsor

Study Sites (4)

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