MIRAI-MRI: Comparing Screening MRI for Patients at High Risk for Breast Cancer Identified by Mirai and Tyrer-Cuzick
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 consistent across mammography machines. Mirai was trained on a large dataset from Massachusetts General Hospital (MGH) in the United States and found to be significantly more accurate than the Tyrer-Cuzick model, a current clinical standard.
The primary aim of this study is to prospectively quantify the clinical benefit (i.e. MRI/CEM cancer detection rate) of Mirai-based guidelines and to compare them to the current standard of care.
- Conduct a prospective study where patients who are identified as high risk by Mirai guidelines are invited to receive supplemental MRI within 12 months.
- Compare cancer outcomes between patients only identified as high risk by Mirai and patients identified as high risk by existing guidelines The secondary aim is to study the impact of new guidelines by race and ethnicity, to ensure equitable improvements in cancer screening.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Sara Schiller, MPH
- Phone Number: 7744417731
- Email: sara.schiller1@umassmed.edu
Study Locations
-
-
Massachusetts
-
Worcester, Massachusetts, United States, 01655
- Recruiting
- UMass Medical School
-
Contact:
- Mohammed Shazeeb, PhD
- Phone Number: 508-856-4255
- Email: mohammed.shazeeb@umassmed.edu
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
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 eligible for this study
Following consent and enrollment in the study, a participant will subsequently receive the following:
- These patients will be invited to receive a supplemental MRI examination currently considered the most sensitive test for breast cancer detection.
- Any positive diagnosis on MRI will be followed by biopsy to confirm 'truth" of diagnosis.
To be selected, a given record must include the following:
- A report of a routine screening mammogram or diagnostic mammogram, and availability of the DICOM images from that report with the PACS system.
- Reports of all follow up screening and diagnostic studies documented on PACS.
- Some may have interventional procedures (as long as all of these are done at one of Umass sites) and documentation of these biopsy results in the hospitals EHR.
Exclusion Criteria:
- Under age 40. Women under 40 years are not routinely xrayed with a mammogram.
- Xray breast cancer screening imaging study that has artifacts, corruption, or other image quality degradation.
- Pregnant patients because they do not routinely receive screening mammogram
- Adult male patients with breast cancer
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: High Risk Participants--MIRAI
Patients who are deemed high risk on standard breast screening mammogram by the MIRAI model
|
Supplemental MRI (in addition to standard of care MRI).
Artificial intelligence software
|
|
Active Comparator: High Risk Participants--non-MIRAI
Patients who are deemed high risk by Tyrer-Cuzick model but not MIRAI
|
Supplemental MRI (in addition to standard of care MRI).
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
CDR Mirai Assessment versus CDR Traditional High Risk Screening
Time Frame: 1.5 years (duration of patient recruitment and outcome data collection)
|
Cancer detection rate from breast MRI following Mirai assessment of high risk on a screening mammogram performed less than 1 year ago and compared with established CDR in traditional high risk screening.
|
1.5 years (duration of patient recruitment and outcome data collection)
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cancer development within study population versus general population of average risk women
Time Frame: 1.5 years (duration of patient recruitment and outcome data collection)
|
On subsequent follow-up with standard of care, assessment of what percentage of the study population develops breast cancer as compared to the general population of women at average risk of breast cancer.
|
1.5 years (duration of patient recruitment and outcome data collection)
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Mohammed Salman Shazeeb, PhD, UMass Chan Medical School
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- STUDY000000485
- MIT_s5822 (Other Grant/Funding Number: Massachusetts Institute of Technology Subaward)
- SPEC-22-015 (Other Grant/Funding Number: Breast Cancer Research Foundation)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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