Molecular Breast Imaging and Digital Breast Tomosynthesis in Screening Patients With Dense Breast Tissue

February 2, 2026 updated by: Mayo Clinic

Density MATTERS [Molecular Breast Imaging (MBI) And Tomosynthesis To Eliminate the ReServoir]

This study compares molecular breast imaging (MBI) and digital breast tomosynthesis (DBT) in screening patients with dense breast tissue. Breast imaging may help doctors find breast cancer sooner, when it may be easier to treat. Molecular breast imaging (MBI) uses an injection of a small amount of radioactive material that is taken up in tissues of the body that are actively changing, such as breast cancer. A specialized camera, called a gamma camera, takes pictures of the gamma rays emitted by this material. MBI may detect cancers that are not visible on mammograms. This study may help researchers determine how MBI testing compares to DBT screening.

Study Overview

Detailed Description

This study includes women age 40-75 who are presenting for breast cancer screening and had mammographically dense breasts on their last mammogram. Participants undergo annual DBT and MBI screening for two years. The primary aim for this study is to compare the rate of detection of invasive cancers between DBT alone vs. the combination of DBT with supplemental MBI at the first year of screening.

Study Type

Interventional

Enrollment (Actual)

3023

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Michigan
      • Detroit, Michigan, United States, 48202
        • Henry Ford Hospital
    • Minnesota
      • Rochester, Minnesota, United States, 55905
        • Mayo Clinic in Rochester
    • Ohio
      • Toledo, Ohio, United States, 43623
        • Toledo Clinic Cancer Centers-Toledo
    • Texas
      • Houston, Texas, United States, 77030
        • M D Anderson Cancer Center
    • Wisconsin
      • La Crosse, Wisconsin, United States, 54601
        • Mayo Clinic Health System-Franciscan Healthcare

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Patient is a consenting female age 40-75 years
  • Patient is scheduled for routine screening DBT
  • Patient is asymptomatic for breast disease
  • Patient had heterogeneously dense or extremely dense breasts on most recent prior mammography examination (Breast Imaging Reporting and Data System [BI-RADS] c or d) within 24 months of enrollment
  • Patient is able to participate fully in all aspects of the study (completing study visits and study data collection)
  • Patient understands and signs the study informed consent
  • Patient anticipates being able to return one year after study enrollment to complete the second round of screening

Exclusion Criteria:

  • Patient is currently pregnant or plans to become pregnant during the course of the study
  • Patient is currently lactating
  • Patient has had a prior MBI
  • Patient has had a prior whole breast ultrasound (WBUS) for screening, with either a hand-held ultrasound probe or automated system, within 12 months prior to study enrollment
  • Patient has had a prior breast MRI
  • Patient has had a prior contrast-enhanced mammogram (contrast enhanced spectral mammography [CESM] or contrast-enhanced digital mammography [CEDM])
  • Patient is concurrently participating in any other breast imaging research studies that involve undergoing additional breast imaging tests beyond routine screening with mammography, including but not limited to contrast-enhanced mammography, WBUS, MBI, or contrast-enhanced breast MRI
  • Patient has had a breast biopsy within 3 months prior to study enrollment
  • Patient has had breast surgery within 12 months prior to study enrollment
  • Patient is currently undergoing treatment for breast cancer or planning surgery for a high-risk breast lesion (atypical ductal hyperplasia [ADH], atypical lobular hyperplasia [ALH], lobular carcinoma in situ [LCIS], papilloma, radial scar)
  • Patient is currently taking a chemoprevention agent for breast cancer risk reduction or osteoporosis prevention (tamoxifen, raloxifene, anastrazole, letrozole, exemestane)
  • Patient has a known history of any condition or factor judged by the investigator to preclude participation in the study or which might hinder study adherence

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Non-Randomized
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: DBT alone
All participants undergo DBT screening
DBT is standard of care breast screening
Other Names:
  • DBT
  • Digital Breast Tomosynthesis
  • Digital Tomosynthesis of the Breast
  • Digital Tomosynthesis Mammography
Experimental: DBT + MBI
All participants undergo DBT screening + supplemental MBI
Undergo MBI
Other Names:
  • MBI
  • Breast-Specific Gamma Imaging
  • Miraluma Scan
  • Miraluma Test
  • Molecular Breast Imaging
  • Nuclear Medicine Breast Imaging
  • sestamibi breast imaging
  • Sestamibi Scintimammography
DBT is standard of care breast screening
Other Names:
  • DBT
  • Digital Breast Tomosynthesis
  • Digital Tomosynthesis of the Breast
  • Digital Tomosynthesis Mammography

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of Detection of Invasive Cancers
Time Frame: At year 1 screening
Compare the rate of detection of invasive cancers between DBT alone versus (vs.) the combination of digital breast tomosynthesis (DBT) with supplemental molecular breast imaging (MBI) at initial (year 1) screening. For each modality, the detection rate of invasive cancers will be estimated as the proportion of participants in the analysis set who had an invasive cancer detected by the modality and verified by pathology.
At year 1 screening

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of detection of invasive cancers
Time Frame: At year 0 screening
Will compare the rate of detection of invasive cancers between DBT alone vs. MBI alone at Year 0 screening. The comparison will be based on a 2-sided McNemar's test at statistical significance level alpha= 0.05.
At year 0 screening
Screening performance metrics of sensitivity
Time Frame: At year 0 and year 1 screening
Sensitivity will be estimated for each modality as the proportion of women with breast cancer who have true positive test results. Will be analyzed to compare performance of DBT alone vs. MBI alone, and DBT alone vs. the combination of DBT with supplemental MBI. Uncertainty in the estimate of sensitivity will be quantified through a two-sided 95% confidence interval (CI) based on the binomial distribution. If a sufficient number of radiologists interpret exams from multiple patients with breast cancer, secondary analysis may also include a 95% CI and chi-squared test adjusted for clustering of results within radiologist to allow generalization to both the population of patients and the population of radiologists.
At year 0 and year 1 screening
Screening performance metrics of specificity
Time Frame: At year 0 and year 1 screening
Specificity will be estimated as the proportion of women without breast cancer who have TN test results. Will be analyzed to compare performance of DBT alone vs. MBI alone, and DBT alone vs. the combination of DBT with supplemental MBI.
At year 0 and year 1 screening
Screening performance metrics of recall rate
Time Frame: At year 0 and year 1 screening
Recall rate (defined as the proportion of patients recalled from the screening test for diagnostic workup among the total number of patients screened) will be estimated employing analytical strategies similar to sensitivity and specificity. McNemar's test will be used to compare rates between two modalities. Will be analyzed to compare performance of DBT alone vs. MBI alone, and DBT alone vs. the combination of DBT with supplemental MBI.
At year 0 and year 1 screening
Screening performance metrics of biopsy rate
Time Frame: At year 0 and year 1 screening
Biopsy rate (defined as the proportion of patients in whom biopsy is generated from a particular modality among the total number of patients screened) will be estimated employing analytical strategies similar to sensitivity and specificity. McNemar's test will be used to compare rates between two modalities. Will be analyzed to compare performance of DBT alone vs. MBI alone, and DBT alone vs. the combination of DBT with supplemental MBI.
At year 0 and year 1 screening
Screening performance metrics of positive predictive value and negative predictive value
Time Frame: At year 0 and year 1 screening
Predictive values will be estimated for each modality based on data pooled across radiologists. Positive predictive value (PPV)1 (the proportion of patients with breast cancer among patients with abnormal screening examinations), PPV3 (the proportion of breast cancers diagnosed among biopsies performed), and negative predictive value (NPV) (the proportion of patients without breast cancer among those with normal screening examinations) will be determined. Will be analyzed to compare performance of DBT alone vs. MBI alone, and DBT alone vs. the combination of DBT with supplemental MBI.
At year 0 and year 1 screening
Characteristics of all cancers (invasive and noninvasive) detected on DBT and MBI
Time Frame: At year 1 screening
Will compare tumor characteristics of all cancers (invasive and noninvasive) detected on DBT and MBI, including size, nodal status, and molecular subtype. The analysis comparing tumor characteristics will be descriptive. Size, nodal status, and molecular subtype (including estrogen and progesterone receptor status, HER-2 status, Ki-67 and Oncotype DX score as available) will be abstracted from clinical final pathology reports from all biopsies and surgeries performed. The distribution of sizes will be summarized by ordinary numeric (e.g., means, standard deviations [SDs], range) and graphical (e.g., histograms, density smoothers) summaries. Descriptive summaries of the lesions identified with MBI but not DBT and vice versa will also be calculated to understand the differences in performance should one be identified.
At year 1 screening
Change in advanced cancer rate with incorporation of MBI screening
Time Frame: At year 0 and year 1 screening
Will assess whether the incorporation of MBI screening reduces advanced cancer rate, the rate of advanced cancers detected at Year 1 screening will be compared to the rate at Year 0 screening. The rates of advanced cancers, together with their respective 95% confidence intervals, will be estimated for Year 0 and Year 1. Comparison in the rates between Year 0 and Year 1 will utilize the test of two proportions based on exact binomial distributions.
At year 0 and year 1 screening
Rate of interval cancers with incorporation of MBI screening
Time Frame: At year 0 and year 1 screening
We will estimate the rate of interval cancers from our study and provide a 95% confidence interval.
At year 0 and year 1 screening
Relative performance of DBT and MBI within subgroups categorized by breast cancer risk
Time Frame: At year 0 and year 1 screening
The relative performance of the screening modalities (sensitivity and specificity) will be characterized separately, within subgroups of patients defined by various levels of risk. The statistical power to discern differential performances of the screening modalities among different risk subgroups may be limited due to the restricted sample size in these subgroup analyses.
At year 0 and year 1 screening

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Carrie B. Hruska, M.D., Mayo Clinic in Rochester

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 14, 2017

Primary Completion (Actual)

September 30, 2024

Study Completion (Actual)

November 1, 2024

Study Registration Dates

First Submitted

July 15, 2017

First Submitted That Met QC Criteria

July 15, 2017

First Posted (Actual)

July 18, 2017

Study Record Updates

Last Update Posted (Actual)

February 20, 2026

Last Update Submitted That Met QC Criteria

February 2, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 16-008522 (Mayo Clinic in Rochester)
  • NCI-2021-12015 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
  • R01CA239200 (U.S. NIH Grant/Contract)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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