Evidence map›Paper›PMID 40985829›Full record

ArticleRadiology2025

Molecular Breast Imaging and Digital Breast Tomosynthesis for Dense Breast Screening: The Density MATTERS Trial.

Carrie B Hruska, Katie N Hunt, Nicholas B Larson, Patricia A Miller, Richard L Ellis, Robin B Shermis, Gaiane M Rauch, Amy Lynn Conners, Jeannette Gasal Spilde, Dominic T Semaan and 13 more

Abstract readMulticenter Study
In one paragraph

Article in Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Current and future perspectives of molecular breast imaging with [European journal of nuclear medicine and molecular imaging · 2026
    Review
  3. Article
  4. Observational
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Carrie B HruskaDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0000-0002-6195-5201
Katie N HuntDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0000-0003-2889-3528
Nicholas B LarsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn.ORCID 0000-0002-3468-4215
Patricia A MillerDepartment of Radiology, Henry Ford Health System, Detroit, Mich.
Richard L EllisDepartment of Radiology, Mayo Clinic Health System, La Crosse, Wis.ORCID 0000-0002-0918-0496
Robin B ShermisProMedica Breast Care, Toledo, Ohio.ORCID 0000-0002-2551-0117
Gaiane M RauchDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex.ORCID 0000-0003-2079-5202
Amy Lynn ConnersDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0000-0002-8988-9162
Jeannette Gasal SpildeDepartment of Radiology, Mayo Clinic Health System, La Crosse, Wis.
Dominic T SemaanDepartment of Radiology, Henry Ford Health System, Detroit, Mich.
Emily C SiegalDepartment of Radiology, Henry Ford Health System, Detroit, Mich.ORCID 0009-0004-1338-7029
Shannon N ZingulaDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0000-0001-8131-5343
Sabala R MandavaDepartment of Radiology, Henry Ford Health System, Detroit, Mich.ORCID 0009-0008-3573-9039
Tamara S MartinProMedica Breast Care, Toledo, Ohio.
Riffat K AhmedDepartment of Radiology, Henry Ford Health System, Detroit, Mich.
Dana H WhaleyDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0009-0000-4932-8013
Beatriz E AdradaDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex.ORCID 0000-0002-5539-5332
Lacey R GrayDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0009-0008-5138-0994
Ramila A MehtaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn.ORCID 0009-0006-1049-9468
Rebecca J RollDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn.ORCID 0009-0005-8772-8890
Roberta E RedfernProMedica Breast Care, Toledo, Ohio.ORCID 0000-0001-9883-2910
Michael K O'ConnorDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.ORCID 0000-0002-2816-1928
Deborah J RhodesDepartment of Internal Medicine, Yale New Haven Hospital, New Haven, Conn.ORCID 0000-0003-4408-6451

Funding

Density MATTERS Clinical TrialR01CA239200 · NCI · MAYO CLINIC ROCHESTER · PI HRUSKA, CARRIE B, RHODES, DEBORAH · 2020 to 2024
$3.2M
NCI NIH HHS R01 CA239200
6 · The paper itself

Abstract

Background Molecular breast imaging (MBI) relies on the functional uptake of a radiotracer, technetium 99m sestamibi, to reveal cancers that are occult on mammograms due to breast density. Purpose To assess the performance of screening MBI as a supplement to digital breast tomosynthesis (DBT) in women with dense breasts. Materials and Methods In this prospective, multiyear, multicenter trial from five sites, women with dense breasts were prospectively enrolled from 2017 to 2022 and underwent two annual screening rounds of DBT and MBI to assess the incremental cancer detection rate (CDR, reported as cancers per 1000 screenings) of supplemental MBI and to compare other performance metrics of DBT and MBI. Results A total of 2978 participants were included. Participants had a mean age of 56.8 years ± 9.3 (SD) and a mean lifetime Tyrer-Cuzick risk of 12.0% ± 7.9 (SD). At year 1, the CDR was 5.0‰ (15 of 2978 participants) with DBT and 11.8‰ (35 of 2978 participants) with DBT plus prevalence screening MBI (incremental CDR, 6.7‰ [95% CI: 4.2, 10.6];

Indexed as

Breast DensityBreast NeoplasmsEarly Detection of CancerMammographyMolecular ImagingAdultAgedBreastFemaleHumansMiddle AgedProspective StudiesRadiopharmaceuticalsTechnetium Tc 99m SestamibiRadiopharmaceuticalsTechnetium Tc 99m Sestamibi

Identifiers

PMID40985829
PMCPMC12501625

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.