Evidence map›Paper›PMID 30625040›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2019

Population-Based Assessment of the Association Between Magnetic Resonance Imaging Background Parenchymal Enhancement and Future Primary Breast Cancer Risk.

Vignesh A Arasu, Diana L Miglioretti, Brian L Sprague, Nila H Alsheik, Diana S M Buist, Louise M Henderson, Sally D Herschorn, Janie M Lee, Tracy Onega, Garth H Rauscher and 3 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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  13. Breast MRI to Screen Women With Extremely Dense Breasts.Journal of magnetic resonance imaging : JMRI · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 1 country.

Vignesh A Arasu1 Kaiser Permanente Medical Center, Vallejo, CA.
Diana L Miglioretti3 University of California, Davis, Davis, CA.
Brian L Sprague5 University of Vermont Cancer Center, University of Vermont, Burlington, VT.
Nila H Alsheik6 Advocate Lutheran General Hospital, Park Ridge, IL.
Diana S M Buist4 Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA.
Louise M Henderson7 University of North Carolina, Chapel Hill, NC.
Sally D Herschorn5 University of Vermont Cancer Center, University of Vermont, Burlington, VT.
Janie M Lee8 University of Washington, and Seattle Cancer Care Alliance, Seattle, WA.
Tracy Onega9 Norris Cotton Cancer Center and Geisel School of Medicine at Dartmouth, Lebanon, NH.
Garth H Rauscher10 Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL.
Karen J Wernli4 Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA.
Constance D Lehman11 Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Karla Kerlikowske2 University of California, San Francisco, San Francisco, CA.
Kaiser Permanente Washington Health Research Institute · USUniversity of Vermont · USAdvocate Lutheran General Hospital · USDartmouth College · USHarvard University · USKaiser Permanente Vallejo Medical Center · USUniversity of California, San Francisco · USUniversity of Illinois Chicago · USUniversity of North Carolina at Chapel Hill · 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 · 2011 to 2026
$52.9M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Comparative effectiveness of breast imaging modalities: a natural experimentR01HS018366 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RAUSCHER, GARTH H · 2010 to 2014
$1.8M
AHRQ HHS R01 HS018366NCI NIH HHS P01 CA154292NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

purposeTo evaluate comparative associations of breast magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and mammographic breast density with subsequent breast cancer risk. PATIENTS AND

methodsWe examined women undergoing breast MRI in the Breast Cancer Surveillance Consortium from 2005 to 2015 (with one exam in 2000) using qualitative BPE assessments of minimal, mild, moderate, or marked. Breast density was assessed on mammography performed within 5 years of MRI. Among women diagnosed with breast cancer, the first BPE assessment was included if it was more than 3 months before their first diagnosis. Breast cancer risk associated with BPE was estimated using Cox proportional hazards regression.

resultsAmong 4,247 women, 176 developed breast cancer (invasive, n = 129; ductal carcinoma in situ,n = 47) over a median follow-up time of 2.8 years. More women with cancer had mild, moderate, or marked BPE than women without cancer (80%

conclusionBPE is associated with future invasive breast cancer risk independent of breast density. BPE should be considered for risk prediction models for women undergoing breast MRI.

Indexed as

BreastBreast DensityBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansImage EnhancementMagnetic Resonance ImagingMammographyNeoplasm InvasivenessParenchymal TissueRegistriesRisk FactorsSEER ProgramUnited States

Identifiers

PMID30625040
PMCPMC6494266
OpenAlexW2911194665

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.