Mirai MRI for High-Risk Breast Cancer Screening

MIRAI-MRI: Comparing Screening MRI for Patients at High Risk for Breast Cancer Identified by Mirai and Tyrer-Cuzick

Recruiting N/A Interventional Study
Breast Cancer
No Placebo Group Every participant receives an active treatment — no one gets a placebo.
Ready to participate?

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At a Glance
Age
40 and older
Sex
Female
Study type
Interventional
Purpose
Screening
Participants needed
200 (estimated)
Sponsor
University of Massachusetts, Worcester · Other
Who this trial is looking for

This trial is looking for women at high risk for breast cancer to participate in a study comparing a new screening method using MRI. Participants will receive a supplemental MRI scan to help detect breast cancer earlier.

Are You a Good Fit for This Trial?

You may be able to join if

  • I am a woman over 40 years old.
  • I have been identified as high risk for breast cancer by the Mirai system.
  • I have a report of a recent mammogram with available images.
  • I can provide reports of all my follow-up mammograms and other studies.

You may not be able to join if

  • I am under 40 years old.
  • I am currently pregnant.
  • I am a male.
  • I have had poor quality mammogram images.

Summarized in plain language from this trial's official eligibility criteria. The full criteria are further down this page — only the research team can confirm whether you qualify.

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Check Your Eligibility
About This Trial
Accurate risk assessment is essential for the success of population screening programs and early detection efforts in breast cancer. Mirai is a new deep learning model based on full resolution mammograms. Mirai is a mammography-based deep learning model designed to predict risk at multiple timepoints, leverage potentially missing risk factor information, and produce predictions that are consisten…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Women who were identified as high risk on the retrospective study (dating from 2017-2025) using MIRAI will be recruited and consented for the prospective study * Women over 40 years of age identified as high risk according to traditional guidelines will also be potentially eli…
Contacts

Sara Schiller, MPH

7744417731

sara.schiller1@umassmed.edu

CONTACT