Does the Addition of MRI Help in Breast Cancer Detection in Women with Low Breast Tissue Density in Two Canadian Population-based High-Risk Breast Screening Programs?

David G Martin, Kristopher Hoover, Lisa Smyth, Mary Beth Bissell, Jean M Seely

Abstract read

In one paragraph

Article in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

David G MartinDepartment of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, The Ottawa Hospital General Campus, 501 Smyth Rd, Ottawa, ON, Canada K1H 8L6.ORCID 0009-0008-0486-3328

Kristopher HooverDiscipline of Radiology, Memorial University, St John's, Canada.

Lisa SmythDiscipline of Radiology, Memorial University, St John's, Canada.ORCID 0009-0000-7342-7548

Mary Beth BissellDepartment of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, The Ottawa Hospital General Campus, 501 Smyth Rd, Ottawa, ON, Canada K1H 8L6.ORCID 0009-0007-3940-2313

Jean M SeelyDepartment of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, The Ottawa Hospital General Campus, 501 Smyth Rd, Ottawa, ON, Canada K1H 8L6.ORCID 0000-0003-0367-2219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To compare incremental cancer detection rate (ICDR) by breast tissue density (BTD) and determine whether breast MRI adds diagnostic value in high-risk individuals with low-density breast tissue. Materials and Methods This retrospective review included 10 233 screening breast MRI examinations performed between 2012 and 2022. For each examination, the Breast Imaging Reporting and Data System BTD category was recorded. Patient charts were reviewed to identify patients diagnosed with breast cancer (BC) during the screening period. The nearest mammograms were reviewed to assess whether cancers were also visible at mammography. Results Among 10 233 female individuals screened, 91 cancers were detected (cancer detection rate [CDR] = 8.90 per 1000 examinations), with no evidence of a difference across BTD categories (

Indexed as

Breast DensityBreast NeoplasmsEarly Detection of CancerMagnetic Resonance ImagingAdultAgedBreastCanadaFemaleHumansMammographyMass ScreeningMiddle AgedRetrospective StudiesBreastMammographyMRIPrimary NeoplasmsScreening

Identifiers

PMID41236387

DOI10.1148/rycan.250073

PMCPMC12670019

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.