Evidence map›Paper›PMID 37697031›Full record

ArticleBreast cancer research and treatment2023

Digital mammography and digital breast tomosynthesis for detecting invasive lobular and ductal carcinoma.

Tracy Onega, Linn Abraham, Diana L Miglioretti, Christoph I Lee, Louise M Henderson, Karla Kerlikowske, Anna N A Tosteson, Donald Weaver, Brian L Sprague, Erin J Aiello Bowles and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

11 authors at 8 institutions in 1 country.

Tracy OnegaDepartment of Population Health Sciences, and the Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Dr., RS 4725, Salt Lake City, UT, 84018, USA. tracy.onega@hci.utah.edu.ORCID http://orcid.org/0000-0002-1633-3040
Linn AbrahamKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Diana L MigliorettiKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Christoph I LeeDepartment of Radiology, University of Washington, and Fred Hutchinson Cancer Center, Seattle, WA, USA.
Louise M HendersonDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.
Karla KerlikowskeDepartments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice and Dartmouth Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Donald WeaverDepartment of Pathology, University of Vermont, Burlington, VT, USA.
Brian L SpragueDepartments of Surgery and Radiology, University of Vermont Cancer Center, University of Vermont, Burlington, VT, USA.
Erin J Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Roberta M di Florio-AlexanderDepartment of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Kaiser Permanente Washington Health Research Institute · USUniversity of Vermont · USDartmouth–Hitchcock Medical Center · USDartmouth Institute for Health Policy and Clinical Practice · USSan Francisco VA Medical Center · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · USUniversity of Washington · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE, Diana L Miglioretti · 2011 to 2026
$52.9M
Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Effectiveness of Pre-Operative MRI in Breast Cancer Surgery and OutcomesR01CA149365 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2011 to 2015
$2.8M
Group Health Cancer Research Program Research Specialist AwardR50CA211115 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BOWLES, ERIN JANELLE AIELLO · 2017 to 2021
$919k
SURVEILLANCE EPIDEMIOLOGY AND END RESULTSN01CN005230 · CN · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THOMAS, DAVID B · 1990 to 1996
–
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01CN067009 · CN · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THOMAS, DAVID B · 1996 to 1997
–
AHRQ HHS R01 HS018366NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000029CNCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS HHSN261201300012INCI NIH HHS N01 CN005230NCI NIH HHS N01 CN067009NCI NIH HHS N01 PC035142NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS R01 CA149365NCI NIH HHS R01CA149365NCI NIH HHS R50 CA211115NCI NIH HHS R50CA211115NCI NIH HHS U01 CA086076NCI NIH HHS U54 CA163303NCI NIH HHS U54CA163303Patient-Centered Outcomes Research Institute PCS-1504-30370
6 · The paper itself

Abstract

purposeInvasive lobular carcinoma (ILC) is a distinct histological subtype of breast cancer that can make early detection with mammography challenging. We compared imaging performance of digital breast tomosynthesis (DBT) to digital mammography (DM) for diagnoses of ILC, invasive ductal carcinoma (IDC), and invasive mixed carcinoma (IMC) in a screening population.

methodsWe included screening exams (DM; n = 1,715,249 or DBT; n = 414,793) from 2011 to 2018 among 839,801 women in the Breast Cancer Surveillance Consortium. Examinations were followed for one year to ascertain incident ILC, IDC, or IMC. We measured cancer detection rate (CDR) and interval invasive cancer rate/1000 screening examinations for each histological subtype and stratified by breast density and modality. We calculated relative risk (RR) for DM vs. DBT using log-binomial models to adjust for the propensity of receiving DBT vs. DM.

resultsUnadjusted CDR per 1000 mammograms of ILC overall was 0.33 (95%CI: 0.30-0.36) for DM; 0.45 (95%CI: 0.39-0.52) for DBT, and for women with dense breasts- 0.33 (95%CI: 0.29-0.37) for DM and 0.54 (95%CI: 0.43-0.66) for DBT. Similar results were noted for IDC and IMC. Adjusted models showed a significantly increased RR for cancer detection with DBT compared to DM among women with dense breasts for all three histologies (RR; 95%CI: ILC 1.53; 1.09-2.14, IDC 1.21; 1.02-1.44, IMC 1.76; 1.30-2.38), but no significant increase among women with non-dense breasts.

conclusionDBT was associated with higher CDR for ILC, IDC, and IMC for women with dense breasts. Early detection of ILC with DBT may improve outcomes for this distinct clinical entity.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastBreast DensityEarly Detection of CancerFemaleHumansMammographyMass ScreeningRetrospective StudiesBreast cancerBreast densityMammographyTomosynthesis

Identifiers

PMID37697031
PMCPMC11216536
OpenAlexW4386608605

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.