Clinical trial · Interventional
MIRAI-MRI: Comparing Screening MRI for Patients at High Risk for Breast Cancer Identified by Mirai and Tyrer-Cuzick
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 9, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260909-000002
Summary
Brief summary (as posted)
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. 1. Conduct a prospective study where patients who are identified as high risk by Mirai guidelines are invited to receive supplemental MRI within 12 months. 2. 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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Breast MRI | Diagnostic Test | — | UNRESOLVED |
| MIRAI | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- High Risk Participants--MIRAI
- description
- Patients who are deemed high risk on standard breast screening mammogram by the MIRAI model
- interventionNames
- Diagnostic Test: Breast MRI
- Device: MIRAI
- type
- ACTIVE_COMPARATOR
- label
- High Risk Participants--non-MIRAI
- description
- Patients who are deemed high risk by Tyrer-Cuzick model but not MIRAI
- interventionNames
- Diagnostic Test: Breast MRI
Primary outcomes (1)
- measure
- CDR Mirai Assessment versus CDR Traditional High Risk Screening
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 40 Years
Show eligibility criteria text
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: 1. These patients will be invited to receive a supplemental MRI examination currently considered the most sensitive test for breast cancer detection. 2. 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: 1. A report of a routine screening mammogram or diagnostic mammogram, and availability of the DICOM images from that report with the PACS system. 2. Reports of all follow up screening and diagnostic studies documented on PACS. 3. 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
References
Publications (0)
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